Publications archive
Papers from 2021 and earlier. Back to recent publications.
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Dr. Jonathan H. Chan
Dr. Bunthit Watanapa
Dr. Chakarida Nukoolkit
Dr. Debajyoti Pal
Dr. Pornchai Mongkolnam
Dr. Unhawa Ninrutsirikun- Dr. Praisan Padungweang
Dr. Kamolchanok Claire Chewapreecha
Dr. Sung-Bae Cho
Dr. Yew-Soon Ong- Dr. Ashish Ghosh
Dr. Susmita Ghosh
Dr. Claudio Angione
Dr. Annalisa Occhipinti
Dr. Kalyanmoy Deb
Dr. Irwin King
Dr. Phattara Khumprom
Dr. Mark Chignell
2021 204
- Automatic Text Summaration of COVID-19 Scientific Research Topics Using Pre-trained Model from HuggingFace®
- Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters
- Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning
- Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models
- Prevalence, management and outcomes of unrecognized delirium in a National Sample of 1,493 older emergency department patients: how many were sent home and what happened to them?
- Characterising frailty, metrics of continuous glucose monitoring, and mortality hazards in older adults with type 2 diabetes on insulin therapy (HARE): a prospective, observational cohort study
- Formation and development of biofilm- an alarming concern in food safety perspectives
- Development of Crustal-Scale Shear Zones at the Singhbhum Craton–Eastern Ghats Belt Boundary Region: A Critical Review of the Mesoarchean–Neoproterozoic Odyssey
- arttech: Performance and Embodiment in Technology for Resilience and Mental Health
- [Guest Editorial]
- Co-evolutionary Signals IdentifyBurkholderia pseudomalleiSurvival Strategies in a Hostile Environment
- A Survey on Deep Learning for Human Activity Recognition
- Natural colorants from plant pigments and their encapsulation: An emerging window for the food industry
- A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering
- Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks
- Analogy among Different Conventional Watermarking Transforms and Noise Removing Filters against Various Attacks
- Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.
- Human Factors in Interactive Machine Learning: A Cybersecurity Case Study
- Reshaping Human Factors Education in Times of Big Data: Practitioner Perspectives
- Student Perspectives on Changing Requirements for Human Factors Engineering Education
- Transcending Distance in Long-Term Care: Can Serious Games Increase Resident Resilience?
- Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning
- Modeling Scale-free Graphs for Knowledge-aware Recommendation.
- Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
- Does depressive and anxiety symptoms associate with the diet quality of university students? An exploratory study during the COVID-19 pandemic in India
- Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery
- Micro and Nanoencapsulation of Natural Colors: a Holistic View
- National trends of childhood vaccination coverage in Bangladesh: Understanding gaps from 2011, 2014 and 2017-18 Demographic and Health Surveys data
- Symmetric Wavelength Reused Bidirectional RSOA Based WDM-PON with NRZ Data in Downstream and Upstream
- Evolutionary multi- and many-objective optimization
- 2021 Reviewers List Ã
- A Computational Model of Cancer Metabolism for Personalised Medicine
- A condense-then-select strategy for text summarization
- A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization
- A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization COIN Report Number 2021003
- A new gradient free local search mechanism for constrained multi-objective optimization problems
- A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem
- A novel multi-objective model calibration method for ecohydrological applications
- A proximity-based surrogate-assisted method for simulation-based design optimization of a cylinder head water jacket
- A systematic analysis and guidelines of graph neural networks for practical applications
- A training-free and reference-free summarization evaluation metric via centrality-weighted relevance and self-referenced redundancy
- Adversarial signal augmentation for CNN-LSTM to classify impact noise in automobiles
- Adversary agnostic robust deep reinforcement learning
- Affect recognition for multimodal natural language processing
- Aggregation or selection? clustering many objectives for vehicle routing problem with demand responsive transport
- An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm
- An energy-efficient convolution unit for depthwise separable convolutional neural networks
- An evaluation of transfer learning with CheXNet on lung opacity detection in COVID-19 and pneumonia chest radiographs
- An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization
- An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications
- An integrated TAM/ISS model based PLS-SEM approach for evaluating the continuous usage of voice enabled IoT systems
- Analyzing dominance move (mip-dom) indicator for multiobjective and many-objective optimization
- Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand
- Anomaly detection for health monitoring of heavy equipment using hierarchical prediction with correlative feature learning
- Author Correction: Integrated multi‑omics analysis of ovarian cancer using variational autoencoders
- Biogeography based optimization for mining rules to assess credit risk
- Breaking neural reasoning architectures with metamorphic relation-based adversarial examples
- Building energy consumption forecasting: A comparison of gradient boosting models
- Calibrated and recalibrated expected improvements for Bayesian optimization
- Can transfer neuroevolution tractably solve your differential equations?
- Characterising frailty, metrics of continuous glucose monitoring, and mortality hazards in older adults with type 2 diabetes on insulin therapy (HARE): a prospective …
- Choose appropriate subproblems for collaborative modeling in expensive multiobjective optimization
- CIS Publication Spotlight
- Clustered embedding using deep learning to analyze urban mobility based on complex transportation data
- cognitive multitasking–towards augmented intelligence
- Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
- Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems
- Constrained bi-objective surrogate-assisted optimization of problems with heterogeneous evaluation times: Expensive objectives and inexpensive constraints
- Consumer perceptions of factors affecting online shopping behavior: An empirical evidence from foreign students in China
- Controllable summarization with constrained Markov decision process
- Cosmonet: An r package for survival analysis using screening-network methods
- Creation and evaluation of a pretertiary artificial intelligence (AI) curriculum
- Cross-domain fault diagnosis of rotating machinery using discriminative feature attention network
- CyberIoT: An initial conceptualization of a web-based cyber range for IoT
- Dap-bert: Differentiable architecture pruning of bert
- Deep character-level anomaly detection based on a convolutional autoencoder for zero-day phishing URL detection
- Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile
- Deep latent-variable kernel learning
- DeepCURATER: Deep Learning for CoURse And Teaching Evaluation and Review
- Development of an efficient optimization framework for improving water quality in the chesapeake bay watershed
- Diabetic retinopathy classification with pre-trained image enhancement model
- Dialogue summarization with supporting utterance flow modelling and fact regularization
- Directional graph transformer-based control flow embedding for malware classification
- Discrete auto-regressive variational attention models for text modeling
- Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space
- Do users care about ad’s performance costs? Exploring the effects of the performance costs of in-app ads on user experience
- Dynamic multi-objective optimization
- Effect of objective normalization and penalty parameter on penalty boundary intersection decomposition-based evolutionary many-objective optimization algorithms
- Efficient community search over large directed graphs: An augmented index-based approach
- Efficient implementation of activation functions for LSTM accelerators
- Embedding a repair operator in evolutionary single and multi-objective algorithms-an exploitation-exploration perspective
- Emerging app issue identification via online joint sentiment-topic tracing
- Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization
- Ensembled crossover based evolutionary algorithm for single and multi-objective optimization
- Evolutionary computation: An emerging framework for practical single and multicriterion optimization and decision making
- Evolutionary machine learning with minions: A case study in feature selection
- Evolutionary multi-and many-objective optimization: methodologies, applications and demonstration
- Evolutionary multi-objective optimization algorithm for community detection in complex social networks
- Evolutionary optimization of neuro-symbolic integration for phishing URL detection
- Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space
- Exploring the antecedents of consumer electronics IoT devices purchase decision: A mixed methods study
- Exploring the determinants of users’ continuance usage intention of smart voice assistants
- Extracting salient information from discarded features via attribute selection and pruning
- Feature space transformation for fault diagnosis of rotating machinery under different working conditions
- Frame-correlation transfers trigger economical attacks on deep reinforcement learning policies
- From multitask gradient descent to gradient-free evolutionary multitasking: A proof of faster convergence
- Genome‐scale metabolic modelling of SARS‐CoV‐2 in cancer cells reveals an increased shift to glycolytic energy production
- Graph joint attention networks
- Grpavoid: Multigroup collision-avoidance control and optimization for UAV swarm
- Hand Foot and Mouth Rash Detection Using Deep Convolution Neural Network
- Handling priority levels in mixed pareto-lexicographic many-objective optimization problems
- Handwritten Pashto Characters Dataset for Optical Character Recognition
- HFMD skin rash detection using convolutional neural networks
- How do leaders influence innovation and creativity in employees? The mediating role of intrinsic motivation
- How gamification leads to continued usage of MOOCs? A theoretical perspective
- Human factors in cybersecurity: A scoping review
- Humans in the loop: Cybersecurity aspects in the consumer IoT context
- Improving the robustness of a convolutional neural network with out-of-distribution data fine-tuning and image preprocessing
- Improving the transferability of adversarial samples with adversarial transformations
- Indicator-based evolutionary algorithm for solving constrained multiobjective optimization problems
- Inference of Other’s Minds with Limited Information in Evolutionary Robotics
- Integrated multi-omics analysis of ovarian cancer using variational autoencoders
- Integrating deep learning with first-order logic programmed constraints for zero-day phishing attack detection
- Interpretable AI agent through nonlinear decision trees for lane change problem
- Interpretable self-organizing maps (isom) for visualization of pareto front in multiple objective optimization
- Introduction to Game Theory
- Learnable evolutionary search across heterogeneous problems via kernelized autoencoding
- Learning by distillation: a self-supervised learning framework for optical flow estimation
- Learning conjoint attentions for graph neural nets
- Learning dynamic connectivity with residual-attention network for autism classification in 4D fMRI brain images
- Learning from others: A data driven transfer learning based daily new COVID-19 case prediction in India using an ensemble of LSTM-RNNs
- Machine Learning Applications to Sports Injury: A Review
- Machine learning method to discover the novel association of vaccine and vitamin a supplement on covid 19 infection: a biclustering approach
- Making Predictions for Sequentially Available Choices: A Semiparametric Gaussian Copula Approach (SGC)
- ml4bio/CLEAR: CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
- Modeling Customer Experience in a Contact Center through Process Log Mining
- Modulating scalable Gaussian processes for expressive statistical learning
- Motion Interpretation of Trochoidal Paths
- Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments
- Multi-source propagation aware network clustering
- Multi-space evolutionary search for large-scale optimization
- Multidimensional aspects of sustainable biofuel feedstock production
- Multimodal optimization by evolution strategies with repelling subpopulations
- Multimodal regularized linear models with flux balance analysis for mechanistic integration of omics data
- Multiobjective optimization and analysis of petroleum refinery catalytic processes: A review
- Mutagenic prediction for chemical compound discovery with partitioned graph convolution network
- Neural architecture transfer
- Non-linear domain adaptation in transfer evolutionary optimization
- Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport
- Open-retrieval conversational machine reading
- Optimized electric machine design solutions with efficient handling of constraints
- Optimizing CNN-LSTM neural networks with PSO for anomalous query access control
- Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach
- Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002
- PSAF: A probabilistic surrogate-assisted framework for single-objective optimization
- Question Answering Model in Thai by using Squad Thai Wikipedia dataset
- Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics
- Resume Parser with Natural Language Processing
- Rethinking engineering education: Policy, pedagogy, and assessment during crises
- Scalable Gaussian process classification with additive noise for non-Gaussian likelihoods
- Self-training sampling with monolingual data uncertainty for neural machine translation
- Semi-supervised multi-label learning for graph-structured data
- Situating agent-based modelling in population health research
- Solution representation learning in multi-objective transfer evolutionary optimization
- SOLVeR: A Blueprint for Collaborative Optimization in Practice
- Solving mixed pareto-lexicographic multiobjective optimization problems: the case of priority levels
- Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid
- Systematic development of single-objective optimization approaches for Chesapeake Bay watershed management
- Temporal context-aware task recommendation in crowdsourcing systems
- Testing the Effectiveness of CNN and GNN and Exploring the Influence of Different Channels on Decoding Covert Speech from EEG Signals: CNN and GNN on Decoding Covert Speech …
- The (M-1)+ 1 framework of relaxed pareto dominance for evolutionary many-objective optimization
- The Effect of PreTraining Thoracic Disease Detection Systems on Large-Scale Chest X-Ray Domain Datasets
- Towards low-loss 1-bit quantization of user-item representations for top-k recommendation
- Towards multi-objective co-evolutionary problem solving
- Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization
- Understanding of human factors in cybersecurity: a systematic literature review
- Unified Model for Learning Style Recommendation
- University students’ perception of video-based learning in times of COVID-19: A TAM/TTF perspective
- Unsupervised object-level representation learning from scene images
- Usability evaluation of artificial intelligence-based voice assistants: The case of Amazon Alexa
- Vicinal vertex allocation for matrix factorization in networks
- Virtual Companion for the Elderly: Conceptual Framework
- Visualization-based multi-criterion decision making with NIMBUS method using Palette Viz
- PSAF
- Demographic Effects on Mid-Air Gesture Preference for Control of Devices: Implications for Design
- Can Cognitive Assessment Games Save Us From Cognitive Decline?
- Evaluating and Motivating Activation in Long Term Care: Lessons From a Pilot Study
- Psychological resilience during COVID-19: a meta-review protocol
- Monitoring Cognitive Performance with a Serious Game
- Multi-Party Dual Learning
- Patient Safety Design Competition
- Toward a Subjective Assessment System for Closed Captioning Quality
- RNA alternative splicing prediction with discrete compositional energy network
- Consumer Perceptions of Factors Affecting Online Shopping Behavior
- MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis
- Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
- Antibiotic Susceptibility of Clinical Burkholderia pseudomallei Isolates in Northeast Thailand from 2015 to 2018 and the Genomic Characterization of β -Lactam-Resistant Isolates
- Editorial: Cognitive Multitasking – Towards Augmented Intelligence
- An Evolutionary Arms Race Between Burkholderia pseudomallei and Host Immune System: What Do We Know?
- Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)\n Curriculum
- Designing the BrainTagger Researcher Platform to Automate Development of Customized Cognitive Games
- Frailty and Dysglycaemia in Older Adults with Type 2 Diabetes on Insulin Therapy: The HARE Continuous Glucose Monitoring Study
- IEA 2021 Patient Safety Design Competition
- The Gap Between Human Factors Engineering Education and Industry Needs
2020 226
- AI technique that predicts cell growth could someday diagnose cancer or develop new drugs
- A Person-Centered Design Framework for Serious Games for Dementia
- Beauty and the Beastly Search: Finding Luxury in a Product Hierarchy
- Irrigation Scheduling using Probabilistic Simulation Optimization Framework and Farm-scale Ecohydrological Model at Daily Scale Using Weather Forecasts
- Tracking Cognitive Decline with a Serious Game: Benchmarking Against the Mini-Mental State Examination
- Clinical Manifestation and Complications of Scrub Typhus Cases: A Hospital-based Observational Study from Rural Part of West Bengal
- Answer Graph: Factorization Matters in Large Graphs
- Knowledge, attitudes, and practices towards COVID-19 among hospital staff of West Bengal during COVID-19 outbreak: A hospital based cross sectional study
- Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience
- Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise
- Cluster-Boosted Multi-Task Learning Framework for Survival Analysis
- Comparing immersiveness and perceptibility of spherical and curved displays
- Identification of Coliform in Common Street Food and Associated Factors of Contamination in Noakhali, Bangladesh: A Cross-sectional Study
- An Automated Approach for Finding Course-specific Vocabulary
- Flattening the Curve of Cognitive Decline: A Survey of Cognitive Interventions for People Living with Dementia
- Co-evolutionary signals from Burkholderia pseudomallei genomics identify its survival strategies and highlight improving environmental health as prevention policy
- A Framework for Using Cognitive Assessment Games for People Living with Dementia
- Performance Investigation of Dual Wavelength Fiber Laser using different SOAs
- Evolutionary multi-objective optimization
- PaletteStarViz
- 2020 Index IEEE Computational Intelligence Magazine Vol. 15
- 3D-convolutional neural network with generative adversarial network and autoencoder for robust anomaly detection in video surveillance
- A 3D-CNN siamese network for motion gesture Sign Language alphabets recognition
- A Comparison of Destination Clustering using Density-based Algorithm on The Trip Planning Optimization for Last-Mile Parcel Delivery
- A convolutional neural-based learning classifier system for detecting database intrusion via insider attack
- A customized bilevel optimization approach for solving large-scale truss design problems
- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects
- A generic and computationally efficient automated innovization method for power-law design rules
- A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems
- A hybrid flux balance analysis and machine learning pipeline elucidates metabolic adaptation in cyanobacteria
- A large-scale bi-objective optimization of solid rocket motors using innovization
- A literature review of recent graph embedding techniques for biomedical data
- A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth
- A Monte Carlo search-based triplet sampling method for learning disentangled representation of impulsive noise on steering gear
- A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis
- A novel selection mechanism for evolutionary algorithms with metameric variable-length representations: M. Ryerkerk et al
- A running performance metric and termination criterion for evaluating evolutionary multi-and many-objective optimization algorithms
- A smooth proximity measure for optimality in multi-objective optimization using benson’s method
- A Survey for User's Awareness and Practices Regarding Smartphone Security and Privacy in Afghanistan
- A survey of graph curvature and embedding in non-euclidean spaces
- A unified automated innovization framework using threshold-based clustering
- A unified dual-view model for review summarization and sentiment classification with inconsistency loss
- Adaptive knowledge transfer based on transfer neural kernel network
- Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring
- An ANN-assisted repair operator for evolutionary multiobjective optimization
- An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis
- An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors
- An Improved Transfer Model: Randomized Transferable Machine
- An overview of machine learning in chatbots
- Approximate bilevel optimization with population-based evolutionary algorithms
- Attributed collaboration network embedding for academic relationship mining
- Augmented Reality Project Poster
- Augmented Reality Project Poster: Using Mobile Augmented Reality Application to Enhance Project Poster
- Autograph: Automated graph neural network
- Automated Data Filtering Approach for ANN Modeling of Distributed Energy Systems: Exploring the Application of Machine Learning
- Automated learning of in-vehicle noise representation with triplet-loss embedded convolutional beamforming network
- BAND ELIMINATION FOR DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES USING MUTUAL INFORMATION
- BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation
- Bayesian networks+ reinforcement learning: Controlling group emotion from sensory stimuli
- Bilevel optimization based on iterative approximation of multiple mappings
- Binarybert: Pushing the limit of bert quantization
- Bio-inspired Routing in DMFB
- Bio-inspired Routing in DMFB: An Artificial Swarm Propagation Based Application
- Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
- Biomarker Identification in Colorectal Cancer Using Subnetwork Analysis with Feature Selection
- Boosting the transferability of adversarial samples via attention
- Clinical ultrasound image standardization using histogram specification
- Cluster validity index for big Data based on density discriminant analysis
- Cocon: A self-supervised approach for controlled text generation
- Cognizant multitasking in multiobjective multifactorial evolution: MO-MFEA-II
- Conference Committee Co-Chair
- COVID19 Chest X-Ray Classification with Simple Convolutional Neural Network
- Crisis resilience pedagogy (CRP) for teaching and learning
- Cross-media keyphrase prediction: A unified framework with multi-modality multi-head attention and image wordings
- Data Mining Based Prediction of Malnutrition in Afghan Children
- Data Mining Methods for Optimizing Feature Extraction and Model Selection
- Data rejuvenation: Exploiting inactive training examples for neural machine translation
- Deep learning for fabrication and maturation of 3D bioprinted tissues and organs
- Deep neural network feature selection approaches for data-driven prognostic model of aircraft engines
- Defending adversarial attacks without adversarial attacks in deep reinforcement learning
- Detecting Covid-19 in Chest X-Rays using Transfer Learning with VGG16
- DEVDAN: Deep evolving denoising autoencoder
- Developments in AI and machine learning for neuroimaging
- Dialogue generation on infrequent sentence functions via structured meta-learning
- Difficulty adjustable and scalable constrained multiobjective test problem toolkit
- Discern: Discourse-aware entailment reasoning network for conversational machine reading
- Discovering essential multiple gene effects through large scale optimization: an application to human cancer metabolism
- Discrete Variational Attention Models for Language Generation
- DLAI3 Hackathon Phase3 COVID-19 CXR Challenge
- Does preference always help? A holistic study on preference-based evolutionary multiobjective optimization using reference points
- Dynamic vessel-to-vessel routing using level-wise evolutionary optimization
- Easy-but-effective domain sub-similarity learning for transfer regression
- Education technology for online learning in times of crisis
- Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
- Electric energy demand forecasting with explainable time-series modeling
- Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems
- Enhanced innovized repair operator for evolutionary multi-and many-objective optimization
- Ethical Data Management
- Evaluating nonlinear decision trees for binary classification tasks with other existing methods
- Evolution in action: past, present and future
- Evolutionary computation in scheduling: A scientometric analysis
- Evolutionary computation's niche for solving multi-criterion optimization problems
- Evolutionary multi-objective optimization: Past, present and future
- Evolutionary reinforcement learning for adaptively detecting database intrusions
- Exclusive hierarchical decoding for deep keyphrase generation
- Explicit memory tracker with coarse-to-fine reasoning for conversational machine reading
- Exploiting unsupervised data for emotion recognition in conversations
- Exploration of multi-objective optimization with genetic algorithms for PET image reconstruction
- Fair representation for safe artificial intelligence via adversarial learning of unbiased information bottleneck
- Featurenorm: L2 feature normalization for dynamic graph embedding
- Few shot network compression via cross distillation
- Flow2stereo: Effective self-supervised learning of optical flow and stereo matching
- From genes to cognition: Octodon degus, an animal model for AD translational research
- From genes to cognition: Octodon degus, an animal model for AD translational research: Developing topics
- Gamifying MOOC's a Step in The Right Direction?
- Gamifying MOOC's a Step in The Right Direction? A Systematic Literature Review
- Gap finding and validation in evolutionary multi-and many-objective optimization
- Generalizing transfer Bayesian optimization to source-target heterogeneity
- Generating well-spaced points on a unit simplex for evolutionary many-objective optimization
- Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation
- Generator for Non-stationary Noise
- Genetic programming multitasking
- Guest editorial special issue on structured multi-output learning: modeling, algorithm, theory, and applications
- Handling constrained many-objective optimization problems via problem transformation
- Heterogeneous Representation Learning: A Review
- Identification of Gene Subnetwork Biomarkers of Lung Cancer from RNA-seq Data
- Implicit constraints handling for efficient search of feasible solutions
- Incremental Object Detection Using Ensemble Modeling and Deep Transfer Learning
- Indoor Position Detection Using Smartwatch and Beacons
- Interpretable deep learning with hybrid autoencoders to predict electric energy consumption
- Interpretable rule discovery through bilevel optimization of split-rules of nonlinear decision trees for classification problems
- Interpretable-AI policies using evolutionary nonlinear decision trees for discrete action systems
- Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization
- Jacobian adversarially regularized networks for robustness
- Learning 3d face reconstruction with a pose guidance network
- Learning disentangled representation of residential power demand peak via convolutional-recurrent triplet network
- Learning-based multi-objective optimization through ANN-assisted online Innovization
- Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding
- Many-Objective Software Remodularization using NSGA-III
- Mapping gaming elements with gamification categories: Immersion, achievement, and social in a MOOC setting
- Metagross: Meta gated recursive controller units for sequence modeling
- Minimalistic attacks: How little it takes to fool deep reinforcement learning policies
- Missing data imputation over academic records of electrical engineering students
- Multi-task gradient descent for multi-task learning
- Multiobjective evolutionary design of deep convolutional neural networks for image classification
- MUXConv: Information multiplexing in convolutional neural networks
- Neural information processing
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part I
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part II
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part III
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V
- Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II
- Neural networks based feature selection approaches for prognostics of aircraft engines
- NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)
- Nsganetv2: Evolutionary multi-objective surrogate-assisted neural architecture search
- On a practical notion of Geoffrion proper optimality in multicriteria optimization
- Online Deep Clustering for Unsupervised Representation Learning
- Online Learning During COVID-19
- Online learning during COVID-19: Students' perception of multimedia quality
- PaletteStarViz: A visualization method for multi-criteria decision making from high-dimensional Pareto-optimal front
- Paletteviz with star-coordinates: An improved method for high-dimensional pareto-optimal front visualization and decision-making
- PaletteViz: A visualization method for functional understanding of high-dimensional Pareto-optimal data-sets to aid multi-criteria decision making
- Pareto enveloped selection ant system (PESAS) 62–64 pheromone updating model 21 population-based ACO (P-ACO) 48–50
- Pay-per-flight dynamic pricing of uav operations
- Paying by Your Messaging Application?
- Paying by your messaging application? a trust model
- Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India
- Personal information disclosure via voice assistants: the personalization–privacy paradox
- Photon: A robust cross-domain text-to-SQL system
- Poison attacks against text datasets with conditional adversarially regularized autoencoder
- Practical multisource transfer regression with source–target similarity captures
- Precise object detection using adversarially augmented local/global feature fusion
- Predicting Dihydroartemisinin Resistance in Plasmodium falciparum using Pathway Activity Inference
- Predicting the effect of variants on splicing using Convolutional Neural Networks
- Principal component clustered factors for determining study performance in computer programming class
- Proceedings of The Web Conference 2020
- Pymoo: Multi-objective optimization in python
- Ranking multi-metric scientific achievements using a concept of pareto optimality
- Real-time emotion recognition via attention gated hierarchical memory network
- Relational Thematic Clustering with Mutually Preferred Neighbors
- Relevant Feature Selection for Predicting the Severity of Motorcycle Accident in Thailand
- Research contributions published on betweenness centrality algorithm: modelling to analysis in the context of social networking
- Revisiting parameter sharing for automatic neural channel number search
- Rise of Evolutionary Multi-criterion optimization: a brief history of time with key contributions
- Search-based software engineering for self-adaptive systems: Survey, disappointments, suggestions and opportunities
- Should I disclose my personal data? Perspectives from Internet of Things services
- Skip-connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
- Solving dynamic multiobjective problem via autoencoding evolutionary search
- Surrogate modeling approaches for multiobjective optimization: Methods, taxonomy, and results
- The adoption analysis of voice-based smart IoT products
- The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model
- Time series forecasting with multi-headed attention-based deep learning for residential energy consumption
- To trust or not-trust: privacy issues with voice assistants
- Towards faster vehicle routing by transferring knowledge from customer representation
- Towards global explanations of convolutional neural networks with concept attribution
- Towards sustainable forest management strategies with moeas
- Trend mining 2.0: Automating the discovery of variable trends in the objective space
- Unconventional optimization for achieving well-informed design solutions for the automobile industry
- Unsupervised functional link artificial neural networks for cluster analysis
- Unsupervised text generation by learning from search
- Usability of voice-based intelligent personal assistants
- Using gradient-free local search within MOEAs for the treatment of constrained MOPs
- Vd-bert: A unified vision and dialog transformer with bert
- Voice usability scale: measuring the user experience with voice assistants
- What changed your mind: The roles of dynamic topics and discourse in argumentation process
- What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules
- What it Thinks is Important is Important: Robustness Transfers through Input Gradients
- When Gaussian process meets big data: A review of scalable GPs
- Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting
- Horizontal gene transfer rate is not the primary determinant of observed antibiotic resistance frequencies in Streptococcus pneumoniae
- Stem Cell Therapy in Treatment of Non-communicable Diseases: Possibilities and Challenges
- A novel selection mechanism for evolutionary algorithms with metameric variable-length representations
- Using Machine Learning to Emulate Agent-Based Simulations
- P107: Use of activity trackers to count steps of older emergency department patients: a feasibility and validity study
- Large-Scale Heteroscedastic Regression via Gaussian Process
- A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
- Modeling Closed Captioning Subjective Quality Assessment by Deaf and Hard of Hearing Viewers
- Challenges to Human Drivers in Increasingly Automated Vehicles
- Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
- Age-sensitive well-being support
- Motivating Physical Exercise in the Elderly with Mixed Reality Experiences
- Nature and Nurturance Across the Ages: Modest Means for Modern Times
- Recommendation Systems for Sequential Decisions
- Returning to Nature: VR Mediated States of Enhanced Wellness
- Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications.
2019 119
- Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction
- Feature selection in GSNFS-based marker identification
- Quality of Experience of Smart-Wearables: From Fitness-Bands to Smartwatches
- Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.
- Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
- Coping with Big Data in Transfer Optimization
- Design prototype of a smart household touch sensitive locker security system based on GSM technology
- Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning
- The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight
- Genetic variation associated with infection and the environment in the accidental pathogen Burkholderia pseudomallei
- Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks
- A Multi-Task Gradient Descent Method for Multi-Label Learning
- Using a serious game to measure executive functioning: Response inhibition ability
- Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
- Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
- BigScholar 2019: The 6th Workshop on Big Scholarly Data
- Towards Repayment Prediction in Peer-to-Peer Social Lending Using Deep Learning
- A Longitudinal Study on Quality of Experience (QoE) measures to predict customer’s Likelihood to Recommend (L2R) a service
- Automating App Review Response Generation
- Immersiveness and Perceptibility of Convex and Concave Displays
- Manifold Regularized Stochastic Block Model
- Memories of Video: Impact of Sequencing on Rated Technical Quality for Viewed and Visualized Disruptions
- Predicting Emergency Department Visits Based on Cancer Patient Types
- Tuning a Cancer Patient Typology Based on Emergency Department Visits
- Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling
- PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition
- Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier]
- A Combined Framework for Dimensionality Reduction of Hyperspectral Images using Feature Selection and Feature Extraction
- A Density Discriminant Index for Cluster Validation
- An unsupervised feature selection by back-propagated weighting the non-Gaussianity score of independence components
- Utilizing Gene Co-expression Network for Identifying Subnetwork Biomarkers for Cancer
- Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
- Generating Biased Datasets for Neural Natural Language Processing
- Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods
- Contrasting approaches to genome-wide association studies impact the detection of resistance mechanisms in Staphylococcus aureus
- Causes of Early Marriage and Its Effect on Reproductive Health of Young Mothers in Bangladesh
- A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential
- Effective Data-Aware Covariance Estimator From Compressed Data
- Making Online Sketching Hashing Even Faster
- AIR5: Five Pillars of Artificial Intelligence Research
- Overall Quality Performance of Long-Term Care Homes in Ontario
- Predictive Ability of a Serious Game to Identify Emergency Patients With Unrecognized Delirium
- Difficulty Controllable Generation of Reading Comprehension Questions
- Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
- Genome-wide epistasis and co-selection study using mutual information
- Contextual Correlation Preserving Multiview Featured Graph Clustering
- Crop yield simulation optimization using precision irrigation and subsurface water retention technology
- DDFlow: Learning Optical Flow with Unlabeled Data Distillation
- Generating Distractors for Reading Comprehension Questions from Real Examinations
- Title-Guided Encoding for Keyphrase Generation
- Analysis and multi-objective optimization of a kind of teaching manipulator
- Machine and deep learning meet genome-scale metabolic modeling
- A parametric investigation of PBI and AASF scalarizations
- An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms
- Can route planning be smarter with transfer optimization?
- Optimisation of crop configuration using NSGA-III with categorical genetic operators
- NSGA-Net
- User Experience with Smart Voice Assistants: The Accent Perspective
- Decision-Support System for Optimisation of Crop Configuration based on Artificial Intelligence
- A survey of evolutionary algorithms using metameric representations
- Neural Keyphrase Generation via Reinforcement Learning with Adaptive\n Rewards
- Human Systems Biology and Metabolic Modelling: A Review—From Disease Metabolism to Precision Medicine
- Recognizing Falls, Daily Activities, and Health Monitoring by Smart Devices
- Predicting residential energy consumption using CNN-LSTM neural networks
- What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
- A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm
- A Novel Pareto-VIKOR Index for Ranking Scientists’ Publication Impacts: A Case Study on Evolutionary Computation Researchers
- Combining metabolic modelling with machine learning accurately predicts yeast growth rate
- Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks
- Evolutionary Optimization-based Mission Planning for UAS Traffic Management (UTM)
- Memetic Evolution Strategy for Reinforcement Learning
- SelFlow: Self-Supervised Learning of Optical Flow
- Doctor of Crosswise: Reducing Over-parametrization in Neural Networks
- An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset
- Emerging App Issue Identification from User Feedback: Experience on WeChat
- LO14: Unrecognized delirium in a cohort of older ED patients assessed at a tertiary care center: signs of improvement?
- Exploiting deep convolutional neural networks for a neural-based learning classifier system
- Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach
- Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
- A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification
- Enhancing metabolic event extraction performance with multitask learning concept
- A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster
- Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder
- A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm
- Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
- Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm
- Social dynamics modeling of chrono-nutrition
- Back to the Roots: Multi-X Evolutionary Computation
- A Quantitative Approach for Evaluating the Quality of Experience of Smart-Wearables From the Quality of Data and Quality of Information: An End User Perspective
- Additional file 1 of Multiplex methods provide effective integration of multi-omic data in genome-scale models
- Additional file 2 of Multiplex methods provide effective integration of multi-omic data in genome-scale models
- An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
- Antecedents of Trust and the Continuance Intention in IoT-Based Smart Products: The Case of Consumer Wearables
- Architecture Search for Image Inpainting
- Bigscholar'17 chairs' welcome
- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data
- Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being
- Data-driven Prognostic Model of Li-ion Battery with Deep Learning Algorithm
- Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition
- Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling
- Enhancing Predictive Power of Cluster-Boosted Regression With Text-Based Indexing
- Face Recognition using Transferred Deep Learning for Feature Extraction
- Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization
- Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack
- HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition
- Improving Question Generation With to the Point Context
- Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
- Investigating the Normalization Procedure of NSGA-III
- iWatch: A Fall and Activity Recognition System Using Smart Devices
- Microblog Hashtag Generation via Encoding Conversation Contexts
- Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
- Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining
- Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation
- Supplementary Data 10
- Supplementary Data 7
- Survey on Multi-Output Learning
- Topic-Aware Neural Keyphrase Generation for Social Media Language
- Trust-Region Based Multi-objective Optimization for Low Budget Scenarios
2018 165
- Big Data in Smart-Cities: Current Research and Challenges
- Canonical Memetic Algorithms
- Data-Driven Adaptation in Memetic Algorithms
- Future Direction: Compressed Meme Space Evolutions
- Introduction: The Rise of Memetics in Computing
- Memetic Computation
- Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era
- Multitask Knowledge Transfer Across Problems
- Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine
- Sequential Knowledge Transfer Across Problems
- The Memetic Automaton
- In silico engineering of Pseudomonas metabolism reveals new biomarkers for increased biosurfactant production
- Fast transfer Gaussian process regression with large-scale sources
- Emotion in a Century
- Hyperspectral Remote Sensing Images and Supervised Feature Extraction
- Quality Provisioning in the Internet of Things Era
- Satja
- Stock Selection Using Association Rules on Cash Flow and Accrual Financial Indicators
- Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks
- Matching Question and Answer Using Similarity: An Experiment with Stack Overflow
- Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions
- A review and empirical analysis of neural networks based exchange rate prediction
- Using semi-independent variables to enhance optimization search
- Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study
- Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats
- Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities.
- Understanding and comparing scalable Gaussian process regression for big data
- Proprties of biclustering algorithms and a novel biclustering technique based on relative density.
- RelDenClu: A Relative Density based Biclustering Method for identifying non-linear feature relations
- Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement
- Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment
- A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making
- A Unified Framework for Student Cluster Grouping with Learning Preference Associative Detection for Enhancing Students' Learning Outcomes in Computer Programming Courses
- Characterization of Wideband Semiconductor Optical Amplifiers based on OptiSystem and MATLAB
- CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms
- Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization
- Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization
- Reference Point Based NSGA-III for Preferred Solutions
- Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization
- The poly-omics of ageing through individual-based metabolic modelling
- Uncluttered Domain Sub-Similarity Modeling for Transfer Regression
- INFAR: insight extraction from app reviews
- Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
- Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization
- Neural Relational Topic Models for Scientific Article Analysis
- Scaled and oriented object tracking using ensemble of multilayer perceptrons
- NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
- A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries
- NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.
- Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams
- Multiphase Balance of Diversity and Convergence in Multiobjective Optimization
- A Combination of Text Mining Techniques for Relevant Literature Search and Extractive Summarization
- Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
- Push and pull search for solving constrained multi-objective optimization problems
- Domain Adaption via Feature Selection on Explicit Feature Map
- Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency
- Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization
- The HCI living curriculum as a community of practice
- Exploring the effects of ad schemes on the performance cost of mobile phones
- Monitoring Health Status in Long Term Care Through the Use of Ambient Technologies and Serious Games
- Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs
- Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept
- Distributed approaches for reference-point-based multi-objective hybrid problems
- Multifactorial Genetic Programming for Symbolic Regression Problems
- Evaluation of the impacts of hydrologic model calibration methods on predictability of ecologically-relevant hydrologic indices
- Deep binary prototype multi-label learning
- Difficulty Controllable Question Generation for Reading Comprehension.
- Context-based and Explainable Decision Making with Argumentation
- Trust-region based algorithms with low-budget for multi-objective optimization
- Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective
- A study on short term outcome of stroke in a rural tertiary care center of Sub Himalayan Terai
- Evolutionary Multitasking via Explicit Autoencoding
- A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization
- A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding
- Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms
- Bilevel Optimization Based on Kriging Approximations of Lower Level Optimal Value Function
- Code Completion with Neural Attention and Pointer Networks
- Deep Discrete Prototype Multilabel Learning
- Discrete Network Embedding
- Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification
- Modelling of Different Types of SOA Characteristics
- O2‐07‐04: Designing for Dementia: the Impact of Interactive Ambient Technology on Well‐being in Long‐term Care Homes
- Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts
- DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation
- Enhancing the uptake of systematic reviews of effects: what is the best format for health care managers and policy-makers? A mixed-methods study
- Overlapping community detection with preference and locality information: a non-negative matrix factorization approach
- Co-evolutionary multi-task learning for dynamic time series prediction
- Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network Methods
- Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons
- Using multi-objective optimization to secure fertile soils across municipalities
- A quantitative relationship between Application Performance Metrics and Quality of Experience for Over-The-Top video
- Constrained Multi-objective Evolutionary Algorithm
- Genetic Algorithm and Its Advances in Embracing Memetics
- Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems
- On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries
- Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
- Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor
- Daily Stress Recognition System Using Activity Tracker and Smartphone Based on Physical Activity and Heart Rate Data
- Guest Editorial Special Issue on Search-Based Software Engineering
- A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective
- Online app review analysis for identifying emerging issues
- Integrated computational extraction of cross-cancer poly-omic signatures
- Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice
- Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution
- Mechanistic effects of influenza in bronchial cells through poly-omic genome-scale modelling
- Evaluation of the migrated solutions for distributing reference point-based multi-objective optimization algorithms
- Compact Multi-Label Learning
- Domination landscape in evolutionary algorithms and its applications
- On Human Factors
- A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization
- Melioidosis in Thailand: Present and Future
- Data-driven risk assessment and multicriteria optimization of UAV operations
- Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
- GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
- GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal\n Graphs
- Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates
- A Framework for MOOC Content Generation
- SIT Academy: Online learning using the MOOC approach
- Towards the Hci Living Curriculum
- Auto-scaling microservices on IaaS under SLA with cost-effective framework
- CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm
- Guest Editorial for the 8 th Symposium on Search Based Software Engineering Special Section
- Analysis of Factors Affecting Multimedia Delivery for Elderly People
- Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator
- Computing with Metabolic Machines
- Features of Marketer-Generated Content Tweets For Electronic Word of Mouth in Banking Context
- Hotels and Resorts Rent Intention via Online Affiliate Marketing
- User Intention towards a Music Streaming Service: A Thailand Case Study
- An Efficient Nondominated Sorting Algorithm for Large Number of Fronts
- Remarks on multi-output Gaussian process regression
- Additional file 1 of The poly-omics of ageing through individual-based metabolic modelling
- Additional file 2 of The poly-omics of ageing through individual-based metabolic modelling
- Additional file 3 of The poly-omics of ageing through individual-based metabolic modelling
- Additional file 3: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Additional file 4 of The poly-omics of ageing through individual-based metabolic modelling
- Additional file 4: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Additional file 5 of The poly-omics of ageing through individual-based metabolic modelling
- Additional file 5: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Additional file 6: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Additional file 7: of CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
- Analyzing the Elderly Users’ Adoption of Smart-Home Services
- Conclusion and Future Work
- Fall motion detection with fall severity level estimation by mining kinect 3D data stream.
- Frozen Shoulder Rehabilitation
- Geo-Teaser: Geo-Temporal Sequential Embedding Rank for POI Recommendation
- How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach
- Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective
- Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
- Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application
- Numerical analysis near singularities in RBF networks
- Point-of-Interest Recommendation in Location-Based Social Networks
- Presence and human development : age-specific variations in presence and their implications for the design of life-enhancing interactive applications
- Smart Homes and Quality of Life for the Elderly: Perspective of Competing Models
- Social Recommendation in Dynamic Networks
- STELLAR: Spatial-Temporal Latent Ranking Model for Successive POI Recommendation
- Sustainable Agricultural Intensification through Crop Water and Nutrient Management Optimization
- Thread Popularity Prediction and Tracking with a Permutation-invariant Model
- Topic Memory Networks for Short Text Classification
- Towards a hierarchical optimization framework for spatially targeting incentive policies to promote green infrastructure amidst multiple objectives and uncertainty
- Tutorials at PPSN 2018
- Understanding Human Mobility from Geographical Perspective
- Understanding Human Mobility from Temporal Perspective
- Using the Senses to Make sense : From Aesthetics to Ethics
- 転送回帰のための非クラッタ領域サブ類似性モデリング【JST・京大機械翻訳】
2017 169
- Improving the performance of genetic algorithms for land-use allocation problems
- Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems
- PCA, Kernel PCA and Dimensionality Reduction in Hyperspectral Images
- Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities
- Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives
- Computational intelligence in optical remote sensing image processing
- Quality evaluation of high resolution videos viewed on a mobile device in an online streaming environment
- Smart Homes and Quality of Life for the Elderly: A Systematic Review
- Model for Mobile Online Video viewed on Samsung Galaxy Note 5
- Semantically Consistent Image Completion with Fine-grained Details
- Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization
- A Novel Class of Test Problems for Performance Evaluation of Niching Methods
- A poly-omics machine-learning method to predict metabolite production in CHO cells
- High-resolution Deep Convolutional Generative Adversarial Networks
- Insights on Transfer Optimization: Because Experience is the Best Teacher
- Traffic Prediction Based Power Saving in Cellular Networks
- Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
- Multilabel Prediction via Cross-View Search
- Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method
- Factors influencing teenagers behavior on posting and sharing messages via Facebook
- Finding near-optimum and diverse solutions for a large-scale engineering design problem
- Regularizing the loss layer of CNNs for facial expression recognition using crowdsourced labels
- Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects
- Compressed representation for higher-level meme space evolution: a case study on big knapsack problems
- Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data
- Model-Assisted Planning of Groundwater Development
- Knowledge Transfer Through Machine Learning in Aircraft Design
- Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
- An agent-based system for abnormal flow detection in semiconductor production line
- Asterisk server performance under stress test
- Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism
- 3D-RadVis Antenna: Visualization and performance measure for many-objective optimization
- An adaptive RBF-HDMR modeling approach under limited computational budget
- R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points
- Opposition based learning: A literature review
- Hierarchical modular Bayesian networks for low-power context-aware smartphone
- Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism
- Gait-Guided Adaptive Interfaces: Managing Cognitive Load In Older Users
- Testing the Effects of Peak, End, and Linear Trend on Evaluations of Online Video Quality of Experience
- Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation
- Gene-set profiles
- Network analysis of inter-organizational success factor relationships
- Network-based visualization tool for analyzing gene expression data
- Visualizing thai stock performance using parallel coordinates
- Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation
- Poly-omic statistical methods describe cyanobacterial metabolic adaptation to fluctuating environments
- Toward efficient and accurate covariance matrix estimation on compressed data
- A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization
- Learning to Rank Using Localized Geometric Mean Metrics
- Mining Business Opportunities from Location-based Social Networks
- Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland
- Gene Expression Programming: A Survey [Review Article]
- Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
- Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems
- A computationally fast multimodal optimization with push enabled genetic algorithm
- Recent advances in evolutionary multi-criterion optimization (EMO)
- Short versus long-term urban planning using multi-objective optimization
- Towards an epigenetics-inspired control system for power dispatch problem
- A linear discriminant analysis using weighted local structure information
- A virtual marketplace for goods and services for people with social needs
- MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information
- Constraint handling in efficient global optimization
- Handling practicalities in agricultural policy optimization for water quality improvements
- Metamodeling for multimodal selection functions in evolutionary multi-objective optimization
- Multimodal truss structure design using bilevel and niching based evolutionary algorithms
- Predict - Predicting Emergency Department Incident Delirium with an Interactive Computer Tablet
- Solving a supply-chain management problem using a bilevel approach
- Table- Based Clinical Frailty Scale—agreement Between Ed Physicians, Patients and Caregivers
- A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
- Neural network metamodelling in multi-objective optimization of a high latitude solar community
- A Multiple-stage Classification of Fall Motions Using Kinect Camera
- Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design
- Monitoring Daily Life Activities of the Elderly using Data Mining, Cloud and Web Services
- Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
- An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error
- Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results
- A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
- Coping with Data Scarcity in Aircraft Engine Design
- A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach
- Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems
- Effect of size and order of variables in rules for multi-objective repair-based innovization procedure
- Enhancing clearing-based niching method using Delaunay Triangulation
- Evolutionary bilevel optimization using KKT proximity measure
- Fusion-based hybrid many-objective optimization algorithm
- Linearized domain adaptation in evolutionary multitasking
- Multi-objective optimization of cellular scanning strategy in selective laser melting
- Solving dynamic vehicle routing problem via evolutionary search with learning capability
- Subjective QoE assessment on video service: Laboratory controllable approach
- Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant
- Pneumococcal Capsule Synthesis Locus cps as Evolutionary Hotspot with Potential to Generate Novel Serotypes by Recombination
- Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms
- A System for Rewarding Physical and Cognitive Activity in People with Dementia
- Ambient Activity Technologies for Managing Responsive Behaviours in Dementia
- Graph compaction in analyzing large scale online social networks
- Improving recommendation accuracy using networks of substitutable and complementary products
- It's about time! Modeling customer behaviors as the secretary problem in daily deal websites
- Simple and efficient parallelization for probabilistic temporal tensor factorization
- Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling
- Dynamic Key-Value Memory Networks for Knowledge Tracing
- Introduction: special issue of selected papers from ACML 2015
- UI Design for an Engineering Process: Programming Experiments on a Liquid Handling Robot
- Reliable underwater dipole source characterization in 3D space by an optimally designed artificial lateral line system
- Sentence identification system based on criminal law ontology
- Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems
- Derived heuristics-based consistent optimization of material flow in a gold processing plant
- MORE: A multi‐objective refactoring recommendation approach to introducing design patterns and fixing code smells
- A New Decomposition-Based NSGA-II for Many-Objective Optimization
- Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction
- Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis
- Fabrication and simulation studies on D-shaped optical fiber sensor via surface plasmon resonance
- Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis
- Making life difficult for Clostridium difficile: augmenting the pathogen’s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
- A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables
- CBRAP: Contextual Bandits with RAndom Projection
- An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems
- Automatic discovering success factor relationship entities in articles using named entity recognition
- Dog cough sound classification using artificial neural network and the selected relevant features from discrete wavelet transform
- Editorial IEEE Transactions on Emerging Topics in Computational Intelligence
- Online Nonlinear AUC Maximization for Imbalanced Data Sets
- Global and regional dissemination and evolution of Burkholderia pseudomallei
- Integration of Preferences in Decomposition Multi-Objective Optimization
- Unsupervised band extraction for hyperspectral images using clustering and kernel principal component analysis
- Frequent recombination of pneumococcal capsule highlights future risks of emergence of novel serotypes
- A case study in visualizing disruptions to service quality
- A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization
- A Data- and Model-Driven Analysis Reveals the Multi-omic Landscape of Ageing
- A No-Reference Modular Video Quality Prediction Model for H.265/HEVC and VP9 Codecs on a Mobile Device
- A Video Quality Prediction Model for the Elderly
- Additional file 1 of Making life difficult for Clostridium difficile: augmenting the pathogenâ s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
- Additional file 2 of Making life difficult for Clostridium difficile: augmenting the pathogenâ s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
- Additional file 3 of Making life difficult for Clostridium difficile: augmenting the pathogenâ s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
- Bilevel Optimization based on Iterative Approximation of Mappings
- Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results
- Clostridium difficileに対して困難な生活: より良い治療標的特性化のためのトランスクリプトームおよびコドン使用データによる病原体の代謝モデルの増強【JST・京大機械翻訳】
- Cognitive capacity and smartphone dual-task gait measurement
- Condition-specific engineering of Pseudomonas metabolism – Business Interaction Grant Case study
- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer
- Distillation of Knowledge from the Research Literature on Alzheimer's Dementia
- Effect of a Push Operator in Genetic Algorithms for Multimodal Optimization
- Effect of network QoS on user QoE for a mobile video streaming service using H.265/VP9 codec
- Emerging Trends in Electrical, Electronic and Communications Engineering
- Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results
- Flux distribution results from Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism
- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach
- FROSH: FasteR Online Sketching Hashing.
- Fusion of Many-Objective Non-dominated Solutions Using Reference Points
- Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation
- Geo-Teaser
- Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms
- Journeys to Engagement
- Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace.
- Knowledge-Based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace.
- Leveraging Social Connections to Improve Peer Assessment in MOOCs
- Model
- Monitoring frozen shoulder exercises to support clinical decision on treatment process using smartphone
- Multi-omic Data Integration Elucidates Synechococcus Adaptation Mechanisms to Fluctuations in Light Intensity and Salinity
- On Far End Saliency Detection of Images by Compressive Sensing
- Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization
- Rankings of the security factors of human resources information system (HRIS) influencing the open climate of work: using analytic hierarchy process (AHP)
- Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models
- Serious Games for Dementia
- Shifu
- Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms
- Source code from Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism
- Supplementary material from "Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism"
- TASWEET: Optimizing Disjunctive Path Queries in Graph Databases
- Technology profiles as proxies for measuring functional and frailty status
- Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results
- WIREFRAME: two-phase, cost-based optimization for conjunctive regular path queries
2016 151
- Feasibility of Using a Game-Based Cognitive Assessment for Older Adults in Emergency Care
- Gait Variability and Assessment of Cognitive Impairment
- Prototypes based discriminative appearance model for object tracking
- Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications
- Moving Object Detection using Multi-layer Markov Random Field Model
- Multi-Criterion Optimization and Decision Making Using Evolutionary Computing
- A new approach to map cropland irrigation distribution using time series remote sensing and ancillary data in a heterogeneous semi-arid and arid region: a case study in Heihe watershed
- Capturing User Behavior in Subjective Quality Assessment of OTT Video Service
- Concurrently searching branches in software tests generation through multitask evolution
- Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem
- G.1070 Model Extension at Full HD Resolution for VP9/HEVC Codec
- Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization
- GSNFS: Gene subnetwork biomarker identification of lung cancer expression data
- ICA-DEODA: An independent feature extraction model for stock index forecasting
- Mapping Cropland and Crop-type Distribution Using Time Series MODIS Data
- Modeling Impacts of Irrigation on Land Surface Hydrology and Subseasonal Forecast
- Partial opposition-based learning using current best candidate solution
- Self-assembly of supplier selection strategies
- Supervised Feature Extraction of Hyperspectral Images Using Partitioned Maximum Margin Criterion
- Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization
- Metaheuristic Techniques
- Test-Retest Reliability of a Serious Game for Delirium Screening in the Emergency Department
- Effect of the Multiple Intelligences in multiclass predictive model of computer programming course achievement
- Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP
- Graph Partitioning in Parallelization of Large Scale Networks
- Inferring Future Links in Large Scale Networks
- TGDB: towards a benchmark for graph databases
- Constructing Reliable Gradient Exploration for Online Learning to Rank
- Soft computing in remote sensing image processing
- Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
- Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications
- Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent
- Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization
- A generic framework for multi-criteria decision support in eco-friendly urban logistics systems
- Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour
- An online-updating algorithm on probabilistic matrix factorization with active learning for task recommendation in crowdsourcing systems
- Neural approach for object tracking in complex environment
- Introduction of Artificial Intelligence through Fuzzy Logic in Minecraft
- Solving metameric variable-length optimization problems using genetic algorithms
- Search-based detection of model level changes
- A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks
- Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping
- Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes
- Assessment of Technical Quality of Online Video Using Visualization in Place of Experience
- Tablet-Based Frailty Assessments in Emergency Care for Older Adults
- Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms
- A derived heuristics based multi-objective optimization procedure for micro-grid scheduling
- RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization
- Approximated set-valued mapping approach for handling multiobjective bilevel problems
- Evolutionary Bilevel Optimization: An Introduction and Recent Advances
- On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking
- A Hybrid Approach to Human Posture Classification During TV Watching
- Smartphone-Based Audio-Biofeedback System for Shoulder Joint Tele-Rehabilitation
- A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization
- Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms
- Best Order Sort
- Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm
- Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties
- Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients
- Maintaining Diversity in The Bounded Pareto-Set
- Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions
- Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches
- Learning word dependencies in text by means of a deep recurrent belief network
- Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection
- Introduction to the Special Issue on Crowd in Intelligent Systems
- Modeling the homophily effect between links and communities for overlapping community detection
- Leveraging contact pattern to predict future contact pattern in mobile networks
- A Survey of Point-of-interest Recommendation in Location-based Social Networks
- 3D-RadVis: Visualization of Pareto front in many-objective optimization
- A conceptual modeling of flocking-regulated multi-agent reinforcement learning
- A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem
- A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems
- Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems
- An evolutionary many-objective optimisation algorithm with adaptive region decomposition
- Application of route flexibility in data-starved vehicle routing problem with time windows
- Assessing unreliability in OTT video QoE subjective evaluations using clustering with idealized data
- Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization
- Complex and Intelligent Systems in Manufacturing
- Creating human-like non-player game characters using a Memetic Multi-Agent System
- Distributed Information-Theoretic Metric Learning in Apache Spark
- Dynamic traffic light timing optimization model using bat algorithm
- EliteNSGA-III: An improved evolutionary many-objective optimization algorithm
- Evolutionary multitasking across single and multi-objective formulations for improved problem solving
- Handling inverse optimal control problems using evolutionary bilevel optimization
- High dimensional model representation for solving expensive multi-objective optimization problems
- Key challenges and future directions of dynamic multi-objective optimisation
- Landscape synergy in evolutionary multitasking
- Online non-negative dictionary learning via moment information for sparse Poisson coding
- Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing
- Peak-end effects in video Quality of Experience
- Robust image segmentation using global and local fuzzy energy based active contour
- Semi-supervised auto-encoder based on manifold learning
- Solving optimistic bilevel programs by iteratively approximating lower level optimal value function
- Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems
- Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition
- การตรวจจบและรายงานกจกรรมของผสงอายโดยใชสมารตโฟน
- Multi-Criteria Code Refactoring Using Search-Based Software Engineering
- GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation
- Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational Practice
- Structured Memetic Automation for Online Human-Like Social Behavior Learning
- A Serious Game for Clinical Assessment of Cognitive Status: Validation Study
- Statistical feature bag based background subtraction for local change detection
- Robust global and local fuzzy energy based active contour for image segmentation
- A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction
- Multiobjective Multifactorial Optimization in Evolutionary Multitasking
- Understanding the relationships between performance metrics and QoE for Over-The-Top video
- Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search
- Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion
- Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties
- Extreme learning machine for indoor location fingerprinting
- Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations
- Pathogen hide-and-'seq'
- Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis
- GP made faster with semantic surrogate modelling
- An integrated text mining framework for metabolic interaction network reconstruction
- Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach
- Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking
- A robust multi-objective approach to balance severity and importance of refactoring opportunities
- Making Trillion Correlations Feasible in Feature Grouping and Selection
- STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation
- Multi-objective code-smells detection using good and bad design examples
- Can Cluster-Boosted Regression Improve Prediction of Death and Length of Stay in the ICU?
- Adaptive Subgradient Methods for Online AUC Maximization
- Data mining approach for automatic discovering success factors relationship statements in full text articles
- Multiplex methods provide effective integration of multi-omic data in genome-scale models
- Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts
- A Fast Reduced Kernel Extreme Learning Machine
- A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System
- A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning
- An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems
- Bioinformatics Challenges and Potentialities in Studying Extreme Environments
- Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks
- Extending the ITU-T G.1070 Opinion Model to Support Current Generation H.265/HEVC Video Codec
- Handling batch effects on cross-platform classification of microarray data
- Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems
- Impact of technical and Content Quality on Overall Experience of OTT video
- Improving Sense of Well-Being by Managing Memories of Experience
- Influence of ERP Employment on Work Skills
- Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multi-objective Algorithms
- Locality-Sensitive Linear Bandit Model for Online Social Recommendation
- Metabolite Named Entity Recognition: A Hybrid Approach
- Pragmatics of Network Centrality
- SwarmGuide: Towards Multiple-Query Optimization in Graph Databases.
- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking
- The dengue fever and its complication: A scenario in a tertiary-level hospital of greater Kolkata
- Topological Order Discovery via Deep Knowledge Tracing
- Trust-aware Peer Assessment using Multi-armed Bandit Algorithms
- Using multi-objective optimization to support urban planning
- Using Visualizations to Measure SQE: Individual Differences, and Pricing and Disruption Type Effects
- Variable Interaction in Multi-objective Optimization Problems
- マルチタスク進化によるソフトウェアテスト生成における同時探索分岐【Powered by NICT】
2015 124
- Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem
- Equality Constrained-Optimization-Based Semi-supervised ELM for Modeling Signal Strength Temporal Variation in Indoor Location Estimation
- On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach
- An improved fully stressed design evolution strategy for layout optimization of truss structures
- Towards Evolutionary Multitasking: A New Paradigm in Evolutionary Computation
- Iterative Multi Level Calibration of Metabolic Networks
- Assessment of Left Ventricular Diastolic Function Morbidity in Chronic Obstructive Lung Disease in Population of West Bengal
- Evolutionary multitasking in bi-level optimization
- Offline time-sensitive travel time estimation in an urban road network
- Smartphone-Based Tele-Rehabilitation System for Frozen Shoulder Using a Machine Learning Approach
- Texture and color feature based WLS framework aided skin cancer classification using MSVM and ELM
- Towards a Model for Likelihood to Recommend (L2R) based on Accumulated Experience with an Online Service
- Towards Evolutionary Multitasking
- Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation
- Intelligent and Evolutionary Systems
- Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science
- Extracting translations from comparable corpora for Cross-Language Information Retrieval using the language modeling framework
- Integration of fuzzy Markov random field and local information for separation of moving objects and shadows
- Late Parallelization and Feedback Approaches for Distributed Computation of Evolutionary Multiobjective Optimization Algorithms
- Predictive analytics of environmental adaptability in multi-omic network models
- Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks
- Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation
- BESC industry forum [6 abstracts]
- Low-Cost Transducer Based On Surface Scattering Using Side-Polished D-Shaped Optical Fibers
- An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization
- NSPRING: the SPRING extension for subsequence matching of time series supporting normalization
- Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey
- Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems
- Multi-Target Analysis and Design of Mitochondrial Metabolism
- Measuring adaptation to extreme environments with a multi-omicapproach
- Budget constrained non-monotonic feature selection
- Model transformation testing: a bi-level search-based software engineering approach
- Online sequential reduced kernel extreme learning machine
- Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems
- Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm
- A Case of Suicidal Attempt with Chlorantraniliprole
- A data-driven approach for online adaptation of game difficulty
- Efficient Variation-Based Feature Selection for Medical Data Classification
- Real-Time Analysis of Vital Signs Using Incremental Data Stream Mining Techniques with a Case Study of ARDS Under ICU Treatment
- Exploiting k-degree locality to improve overlapping community detection
- Training-efficient feature map for shift-invariant kernels
- A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives
- Multifactorial Evolution: Toward Evolutionary Multitasking
- Maximum margin semi-supervised learning with irrelevant data
- Fast relative-error approximation algorithm for ridge regression
- Clustering-based gene-subnetwork biomarker identification using gene expression data
- Controlled and collaborative presentation via tablet PCs for classroom and meeting room uses
- Group buying in social coupon: Myths or facts
- Monitoring and visualizing the daily activities and in-house locations using smartphone
- Necessary skills and attitudes for development team members in Scrum: Thai experts' and practitioners's perspectives
- Smartphone posture monitoring system to prevent unhealthy neck postures
- Climate induces seasonality in pneumococcal transmission
- Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks
- Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty
- Acceptability and Quality of Experience in over the top video
- Improving the Ergonomics of Cognitive Assessment with Serious Games
- Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images
- Modelling Circulating Tumour Cells for Personalised Survival Prediction in Metastatic Breast Cancer
- Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization
- Multilingual information retrieval in the language modeling framework
- An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs
- An integrated approach involving EMO and HYDRUS-2D software for SWRT-based precision irrigation
- Design optimization of artificial lateral line system under uncertain conditions
- Effect of selection operator on NSGA-III in single, multi, and many-objective optimization
- Evolutionary multiobjective optimization with hybrid selection principles
- Handling decision variable uncertainty in bilevel optimization problems
- Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results
- Reference point based distributed computing for multiobjective optimization
- Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms
- Towards an automated innovization method for handling discrete search spaces
- Towards optimal ship design and valuable knowledge discovery under uncertain conditions
- Transportation policy formulation as a multi-objective bilevel optimization problem
- Unconstrained robust optimization using a descent-based crossover operator
- Extracting from the relaxed for large-scale semi-continuous variable nondominated frontiers
- Fabrication of polymer microfiber through direct drawing and splicing of silica microfiber via vapor spray and flame treatment
- Pathway activity transformation for multi-class classification of lung cancer datasets
- Self-Learning Gene Expression Programming
- A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation
- Systematic review of electronic remote blood issue
- Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization
- A dual-population paradigm for evolutionary multiobjective optimization
- City Vehicle Routing Problem (City VRP): A Review
- An Adaptive Gradient Method for Online AUC Maximization
- Kernelized Online Imbalanced Learning with Fixed Budgets
- Boosting Response Aware Model-Based Collaborative Filtering
- Incorporating Implicit Link Preference Into Overlapping Community Detection
- Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns
- An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels
- Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization
- WSDM'15 Workshop Summary / Scalable Data Analytics
- Analysis and design of molecular machines
- Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP
- Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network
- Performance of case-control rare copy number variation annotation in classification of autism
- Specialization of a UCT-Based General Game Playing Program to Single-Player Games
- A Framework for Describing Multimedia Circulation in a Smartphone Ecosystem
- A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results
- An Empirical Analysis towards the Adoption of NFC Mobile Payment System by the End User
- An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization
- Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer
- Case Study: A Serious Game for Neurorehabilitation Assessment
- Clustering-based multi-class classification of complex disease
- Combining Multiple Measures into a Single Figure of Merit
- Comparative Study of Web-Based Gene Expression Analysis Tools for Biomarkers Identification
- Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors
- Detect the Daily Activities and In-house Locations Using Smartphone
- Dynamic Resampling for Preference-based Evolutionary Multi-Objective Optimization of Stochastic Systems
- Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection
- Enhancing Reliability through Screening and Segmentation: An Online Video Subjective Quality of Experience Case Study
- Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization
- Multi-Objective Evolutionary Algorithms
- Nonadditive optimization
- Prescription Irrigation Systems Enhanced for Optimal Water Usage by a Soil Water Retention Technology
- Prevalence of skin changes in diabetes mellitus and its correlation with internal diseases: A single center observational study
- R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs
- Rapid Deployment and Evaluation of Mobile Serious Games: A Cognitive Assessment Case Study
- Special Issue: Crowd in Intelligent Systems ACM Transactions on Intelligent Systems and Technology
- Temperature dependent structural variations of OH − (H 2 O) n , n = 4–7: effects on vibrational and photoelectron spectra
- Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization
- TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification
- Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions
- U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results
- Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization
- VoIP Quality Prediction Model by Bio-Inspired Methods
2014 111
- Constrained Efficient Global Optimization for Pultrusion Process
- Evolutionary Constrained Optimization: A Hybrid Approach
- Evolutionary Constrained Optimization
- Triple Bottomline Many-Objective-Based Decision Making for a Land Use Management Problem
- Efficient silhouette-based contour tracking using local information
- Access Behavior Prediction in Distributed Storage System Using Regularized Extreme Learning Machine
- Combinatorial Pure Exploration of Multi-Armed Bandits
- Interrelationship-Based Selection for Decomposition Multiobjective Optimization
- A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm
- Global Phylogenomic Analysis of NonencapsulatedStreptococcus pneumoniaeReveals a Deep-Branching Classic Lineage That Is Distinct from Multiple Sporadic Lineages
- Introduction to Corporate Leaders Analytics and Network System (CLANS) in China and Its Data Management Mechanism
- Maximum Margin Criterion Based Band Extraction of Hyperspectral Imagery
- MOMM: Multi-objective model merging
- Multiple-Stage Classification of Human Poses while Watching Television
- An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
- Cerebellar ataxia in a young patient: A rare path to lupus
- Generalized higher-level automated innovization with application to inventory management
- Surrogate Genetic Programming: A semantic aware evolutionary search
- A Bi-level Evolutionary Algorithm for Multi-objective Vehicle Routing Problems with Time Window Constraints
- A Risk-Averse Inventory Cost Model Using CVaR
- Bayesian Inference to Sustain Evolvability in Genetic Programming
- C2: Adaptive Load Balancing for Metadata Server Cluster in Cloud-Scale Storage Systems
- Emergent Effects from Simple Mechanisms in Supply Chain Models
- Multi-objective Heterogeneous Capacitated Vehicle Routing Problem with Time Windows and Simultaneous Pickup and Delivery for Urban Last Mile Logistics
- Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2
- Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1
- Axiomatic Analysis of Cross-Language Information Retrieval
- Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering
- Memetic Music Composition
- Impact of Retainability Failures on Video Quality of Experience
- Frustration in Response to Impairments and Failures in Online Services, and Resulting Impact on Customer Attitudes
- Code-Smell Detection as a Bilevel Problem
- Gradient boosting factorization machines
- Office workers syndrome monitoring using kinect
- Ratings meet reviews, a combined approach to recommend
- Welcome from DSAA 2014 chairs
- A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis
- Two-phase importance sampling for inference about transmission trees
- Deep transfer learning for classification of time-delayed Gaussian networks
- Recommendation system for software refactoring using innovization and interactive dynamic optimization
- Bioremediation in marine ecosystems: a computational study combining ecological modeling and flux balance analysis
- Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions
- Application of Gibbs–Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera
- Combining Speed and Accuracy into a Global Measure of Performance
- Sensitivity of a Voluntary Interruption of Occlusion Measure to Cognitive Distraction During a Pedal Tracking Task
- Edge Preserving Region Growing for Aerial Color Image Segmentation
- A Study on Nonlinear Classifier-Based Moving Object Tracking
- Efficient Microarray Data Classification with Three-Stage Dimensionality Reduction
- Simultaneous topology, shape and size optimization of truss structures by fully stressed design based on evolution strategy
- A topic-biased user reputation model in rating systems
- Comprehensive Identification of Single Nucleotide Polymorphisms Associated with Beta-lactam Resistance within Pneumococcal Mosaic Genes
- Method of flight planning for airborne LiDAR using genetic algorithms
- Context-aware smartphone application category recommender system with modularized Bayesian networks
- Human activity recognition using smartphone sensors with two-stage continuous hidden Markov models
- Video quality of experience in the presence of accessibility and retainability failures
- Multiobjective optimization based on reputation
- Generation of Compliant Mechanisms using Hybrid Genetic Algorithm
- Machine learning based decision support for many-objective optimization problems
- A bilevel optimization approach to automated parameter tuning
- Evolutionary bilevel optimization (EBO)
- High dimensional search-based software engineering
- Software refactoring under uncertainty
- The Emerging "Big Dimensionality"
- A review of hybrid evolutionary multiple criteria decision making methods
- An improved bilevel evolutionary algorithm based on Quadratic Approximations
- An integrated intelligent technique for monthly rainfall time series prediction
- Exploiting homophily-based implicit social network to improve recommendation performance
- Integrating user preferences and decomposition methods for many-objective optimization
- Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem
- Network path optimization under dynamic conditions
- Non-uniform mapping in real-coded genetic algorithms
- On the performance of classification algorithms for learning Pareto-dominance relations
- Planning-driven behavior selection network for controlling a humanoid robot
- Postural classification using Kinect
- Smart bedroom for elderly using kinect
- Transformation of input space using statistical moments: EA-based approach
- Evidence for Soft Selective Sweeps in the Evolution of Pneumococcal Multidrug Resistance and Vaccine Escape
- Designing Serious Games for Cognitive Assessment of the Elderly
- A pheromone-based traffic management model for vehicle re-routing and traffic light control
- A comparative study of student's attitudes among IT and non-IT students in Information Technology education
- Prolonged sitting detection for office workers syndrome prevention using kinect
- Developing a serious game for cognitive assessment
- Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm
- Language technologies for enhancement of teaching and learning in writing
- Trend mining for system reliability employing a novel heuristic-based Kriging profiling method
- A Hybrid System of Hierarchical Planning of Behaviour Selection Networks for Mobile Robot Control
- Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
- Optimum design of pultrusion process via evolutionary multi-objective optimization
- Learning to suggest questions in social media
- A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system
- Dense genomic sampling identifies highways of pneumococcal recombination
- TaskRec: A Task Recommendation Framework in Crowdsourcing Systems
- A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images
- Band elimination of hyperspectral imagery using partitioned band image correlation and capacitory discrimination
- Evaluation of the tapered PMMA fiber sensor response due to the ionic interaction within electrolytic solutions
- A Memetic Variant of R-NSGA-II for Reference Point Problems
- A Pheromone-based Traffic Management Model for Vehicle Re-routing and Traffic Light Control (Extended Abstract)
- A Search Engine for Structured Health Data
- A Two-Stage Classifier That Identifies Charge and Punishment under Criminal Law of Civil Law System
- Advances in Neural Networks – ISNN 2014
- Analysing mutation schemes for real-parameter genetic algorithms
- Confessions from the Operating Suite: Negotiating Capture, Resistance, Errors, and Identity
- Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China
- GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation
- Innovization: Discovering Innovative Solution Principles Through Optimization
- Non-monotonic Feature Selection for Regression
- Office Delivery Robot Controlled by Modular Behavior Selection Networks with Planning Capability
- Pace and temporality in safety critical medical work: Concepts for understanding adaptation behaviors
- Paraparesis and pleural effusion in a young patient: A road less travelled
- PHR User Privacy Concerns and Behaviours
- Predicting ICU Death with Summarized Data: The Emerging Health Data Search Engine
2013 104
- Test Problem Construction for Single-Objective Bilevel Optimization
- Your gut microbiota are what you eat
- Behavior and Social Computing: International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17
- Exact and Stable Recovery of Pairwise Interaction Tensors
- Moving object detection using Markov Random Field and Distributed Differential Evolution
- Graphical lasso quadratic discriminant function and its application to character recognition
- A constraint consensus memetic algorithm for solving constrained optimization problems
- Laser ablation and waveguide fabrication using CR39 polymer
- Extreme Learning Machines [Trends & Controversies]
- Nonconfidential Patient Types in Emergency Clinical Decision Support
- An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering
- Semi-supervised change detection using modified self-organizing feature map neural network
- Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms
- Designing game-based cognitive assessments for elderly adults
- Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art
- Sparse Poisson coding for high dimensional document clustering
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
- An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls
- Modelling the Pareto-optimal set using B-spline basis functions for continuous multi-objective optimization problems
- Analysis of Morphology Based Horticultural Features through Clustering Methods
- Automatic multiple Kinect cameras setting for simple walking posture analysis
- Looking or Listening?
- Spatial constraint Hopfield-type neural networks for detecting changes in remotely sensed multitemporal images
- Design and strain selection criteria for bacterial communication networks
- A unified framework for reputation estimation in online rating systems
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- Where you like to go next: successive point-of-interest recommendation
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- Moving object detection using Gaussian background model and Wronskian framework
- Stay in Touch: Multimedia Delivery for Elderly People
- Finding optimal strategies in a multi-period multi-leader–follower Stackelberg game using an evolutionary algorithm
- Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing
- Shape Oriented Feature Selection for Tomato Plant Identification
- Multi-objective Optimization
- Evolutionary bilevel optimization
- A design automation framework for computational bioenergetics in biological networks
- Efficient online learning for multitask feature selection
- Keynote Speaker 3: Irwin King
- Pareto Optimality in Organelle Energy Metabolism Analysis
- Transfer Ordinal Label Learning
- A multi-objective evolutionary approach for generator scheduling
- Shifting Between Cognitive and Visual Distraction: The Impact of Cognitive Ability on Distraction Caused by Secondary Tasks
- Genetic Algorithm–Based Design and Development of Particle-Reinforced Silicone Rubber for Soft Tooling Process
- An Evolutionary Algorithm Based Approach to Design Optimization Using Evidence Theory
- A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization
- A parameterless-niching-assisted bi-objective approach to multimodal optimization
- A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems
- An evolutionary algorithm based pattern search approach for constrained optimization
- Differential evolution: Performances and analyses
- Effect Of Ionic Liquid On Semi–crystalline Poly(vinylidene fluoride–co–hexafluoropropylene) Solid Copolymer Electrolytes
- Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach
- Multi objective design for bacterial communication networks
- Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach
- Multi-objective Stackelberg game between a regulating authority and a mining company: A case study in environmental economics
- Solving clustering problems using bi-objective evolutionary optimisation and knee finding algorithms
- Pareto epsilon-dominance and identifiable solutions for BioCAD modeling
- Introduction to Special section on Large-scale Data Mining
- Meme representations for game agents
- An evolutionary model for constructing robust trust networks
- Identification of Criminal Case Diagnostic Issues: a Modular Ann Approach
- Ensemble of Multilayer Perceptrons for Change Detection in Remotely Sensed Images
- Multi-game playing — A challenge for computational intelligence
- Balanced Energy Consumption Approach for Deployment of Clusters in a WSN
- Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization
- Shared Input Multimodal Mobile Interfaces: Interaction Modality Effects on Menu Selection in Single-Task and Dual-Task Environments
- Customized evolutionary optimization procedure for generating minimum weight compliant mechanisms
- Aggregation pheromone metaphor for semi-supervised classification
- Change detection for moving object segmentation with robust background construction under Wronskian framework
- Higher and lower-level knowledge discovery from Pareto-optimal sets
- 17th Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES2013 Towards Believable Resource Gathering Behaviours in Real-time Strategy Games with a Memetic Ant Colony System
- A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization
- A genetic fuzzy based modeling of effective thermal conductivity for polymer composites
- A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers
- Adaptive Guided Evolutionary Multi-Objective Optimization
- An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization
- Behavior and Social Computing
- Bilevel Multi-Objective Optimization and Decision Making
- Capturing Geographical Influence in POI Recommendations
- Change detection in remotely sensed images using semi-supervised clustering algorithms
- Data Management with Flexible and Extensible Data Schema in CLANS
- Design and implementation of a power-line intra-building communication device
- Development of a Web‐Based, Work‐Related Asthma Educational Tool for Patients with Asthma
- Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization of Stochastic Systems
- Epileptic Seizure Identification from Electroencephalography Signal Using DE-RBFNs Ensemble
- Individual differences in driving-related multitasking
- Innovization: Discovery of Innovative Solution Principles Using Multi-Objective Optimization
- Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence
- Introduction to the special section on twitter and microblogging services
- Meta-modeling and Optimization for Varying Dimensional Search Space
- Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network
- Negotiating capture, resistance, errors, and identity: Confessions from the operating suite.
- Optical Music Recognition on Windows Phone 7
- Personal web: a research agenda
- Preface: Computational Systems-Biology and Bioinformatics
- Probabilistic Modeling for Context-Aware Service in Smart TV
- Semi-supervised Self-organizing Feature Map for Gene Expression Data Classification
- Simplifying the Task of Group Gift Giving
- The Effect of Secondary Task Timing and Difficulty on Driving-Related Performance and Modality Selection
- The Personal Web
- The Role of the Genome in the Evolution of the Complexity of Metabolic Machines
- Towards Believable Resource Gathering Behaviours in Real-time Strategy Games with a Memetic Ant Colony System
- Two-step procedure of optimisation for flight planning problem for airborne LiDAR data acquisition
2012 124
- Self-adaptive differential evolution for feature selection in hyperspectral image data
- Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms
- Efficient Behavior of Photosynthetic Organelles via Pareto Optimality, Identifiability, and Sensitivity Analysis
- Bose–Einstein condensation in satisfiability problems
- Boundary Handling Approaches in Particle Swarm Optimization
- Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm
- Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization
- Non-Uniform Mapping in Binary-Coded Genetic Algorithms
- A semi-supervised change detection for remotely sensed images using ensemble classifier
- Change detection in remotely sensed images using an ensemble of multilayer perceptrons
- Clustering based band selection for hyperspectral images
- Dimensionality reduction of morphological features of tomato leaves and fruiting habits
- Image segmentation using rough-fuzzy K-medoid algorithm
- Learning Target Predictive Function without Target Labels
- Reference point-based evolutionary multi-objective optimization for industrial systems simulation
- Search-based semi-supervised clustering algorithms for change detection in remotely sensed images
- Multi-Criteria Optimization in Friction Stir Welding Using a Thermal Model with Prescribed Material Flow
- Combating Negative Transfer From Predictive Distribution Differences
- RePAMO: Recursive Perturbation Approach for Multimodal Optimization
- Planning of sustainable agricultural groundwater development in canal areas
- Rational design of organelle compartments in cells
- Combination of fuzzy clustering algorithms for change detection in remote sensing images
- Object and shadow separation using fuzzy Markov Random Field and local gray level co-occurence matrix based textural features
- Reverse engineering of content to find usability problems: a healthcare case study
- Do ads compete or collaborate?
- Information propagation in social rating networks
- Maximum margin clustering on evolutionary data
- Developing Insights Into the Mechanisms of Evolution of Bacterial Pathogens from Whole-Genome Sequences
- Response Aware Model-Based Collaborative Filtering
- Robust design of microbial strains
- Evolutionary Discovery of Transition States in Water Clusters
- Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification
- Solving dual problems using a coevolutionary optimization algorithm
- Optimization for Variable-Size Problems Using Genetic Algorithms
- Genetic Characterisation of Malawian Pneumococci Prior to the Roll-Out of the PCV13 Vaccine Using a High-Throughput Whole Genome Sequencing Approach
- Using objective reduction and interactive procedure to handle many-objective optimization problems
- Multi-objective optimization and decision making approaches to cricket team selection
- Measuring the Emotional Impacts of Multimedia eHealth
- Natural transformers
- Task recommendation in crowdsourcing systems
- Two Approaches for Single and Multi-Objective Dynamic Optimization
- A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle
- Message from the General Chairs
- An improved CUDA-based implementation of differential evolution on GPU
- Experiences on memetic computation for locating transition states in biochemical applications
- GECCO 2012 tutorial on evolutionary multiobjective optimization
- Meaningful representation and recombination of variable length genomes
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- A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach
- Discovering Support and Affiliated Features from Very High Dimensions
- On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization
- Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
- A Hybrid Framework for Evolutionary Multi-Objective Optimization
- Modeling and exploiting heterogeneous bibliographic networks for expertise ranking
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- A multiagent evolutionary framework based on trust for multiobjective optimization
- Virtual characters in agent-augmented co-space (demonstration)
- An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach
- An evolutionary search paradigm that learns with past experiences
- Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor
- Autonomous flock brush for non-photorealistic rendering
- Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing?
- Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls
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- Interactive differential evolution for image enhancement application in smart phone
- Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems
- Online learning for collaborative filtering
- Pareto Rank Learning in Multi-objective Evolutionary Algorithms
- Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications
- Solving high objective problems in fixed interactions with the decision maker
- Unconstrained scalable test problems for single-objective bilevel optimization
- QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization
- Approximate KKT points and a proximity measure for termination
- Evolution by Adapting Surrogates
- Human gesture recognition using Kinect camera
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- An evolutionary based Bayesian design optimization approach under incomplete information
- A classification-based approach to question routing in community question answering
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- A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules
- Object Detection From Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching
- CFD Analysis of Scramjet Engines with Ramp fuel Injector using Non-Premixed Combustion Model
- A genetic algorithm based augmented Lagrangian method for constrained optimization
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- The Study on Creative Tutoring Service Design to Improve Self-presentation and Learning Abilities for Kids Focusing on Visual Association and Storytelling
- Asthma action plans are highly variable and do not conform to best visual design practices
- Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms
- Extreme learning machine terrain-based navigation for unmanned aerial vehicles
- A Comparative Analysis of Modern Day Network Simulators
- A Future Ready Smart Network
- 2011 IEEE Conference on Computational Intelligence and Games [Conference Reports]
- A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design
- Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
- 52 Selected Aspects of Natural
- A Framework of Multi-Stage Classifier for Identifying Criminal Law Sentences
- Advances in Evolutionary Multi-objective Optimization
- Are You a Social Conformer?
- Associated and Assorted Recombination in SBX Operator for Problems with Linkages
- Factors Affecting Student's Intention to Choose IT Program
- FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development
- Gender Gap In Information Technology (It) Majors: A Preliminary Study On Cross-Cultural Perspective
- How to Compute with Metabolism in Bacteria
- Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms
- Knowledge Discovery in Production simulation By Interleaving Multi-Objective Optimization and Data Mining
- Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling
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- Optical Music Recognition on Android Platform
- Parallel Problem Solving from Nature - PPSN XII
- Pathway-Based Multi-class Classification of Lung Cancer
- Performance Analysis Of Different Manet Specific Tcp Variants
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- TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems
- Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution
- Usability testing of two e-learning resources: Methods to maximize potential for clinician use
- Web-Based Decision Support System for School Meal Planning
2011 106
- 12. Individual Differences
- Smart Home Network Monitoring and Troubleshooting System
- Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
- Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms
- WikiBuild: A New Online Collaboration Process For Multistakeholder Tool Development and Consensus Building
- Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion
- Healing Sample Selection Bias by Source Classifier Selection
- Multi-objective path planning using spline representation
- Central executive functions likely mediate the impact of device operation when driving
- Ockham’s Razor in memetic computing: Three stage optimal memetic exploration
- Distributed differential evolution algorithm for MAP estimation of MRF model for detecting moving objects
- Mining test oracles of web search engines
- RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data
- Wrapper based feature selection in hyperspectral image data using self-adaptive differential evolution
- Can irrelevant data help semi-supervised learning, why and how?
- Question identification on twitter
- Question routing in community question answering
- Towards a top-down and bottom-up bidirectional approach to joint information extraction
- An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
- Multi‐objective optimisation and multi‐criteria decision making in SLS using evolutionary approaches
- A Multi-Facet Survey on Memetic Computation
- A Survey of Crowdsourcing Systems
- Task Matching in Crowdsourcing
- Discovering Design Principles for Soft Multi-objective Decision Making
- A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem
- Hybrid evolutionary multi-objective optimization and analysis of machining operations
- Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
- Location-based topic evolution
- The development of a BAC-based physical map of perennial ryegrass (Lolium perenne) derived from high information content fingerprints and BAC-end sequences
- A report on the fourth ACM international conference on web search and data mining (WSDM 2011)
- Affective Interaction
- Enhanced Models for Expertise Retrieval Using Community-Aware Strategies
- Kernel Function Model for Planning of Agricultural Groundwater Development
- Learning to Suggest Questions in Online Forums
- Special issue on advances in web intelligence
- Histogram thresholding for unsupervised change detection of remote sensing images
- Improving university e-Learning with exploratory data analysis and web log mining
- Solving the multiobjective environmental/economic dispatch problem with prohibited operating zones using NSGA-II
- Text cohesion visualizer
- Component Ranking for Fault-Tolerant Cloud Applications
- Probabilistic factor models for web site recommendation
- An EA-based approach to design optimization using evidence theory
- Design knowledge extraction in multi-objective optimization problems
- KKT proximity measure for testing convergence in smooth multi-objective optimization
- Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach
- Quantitative modeling of customer perception from service data using evolutionary optimization
- Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets
- Improving question retrieval in community question answering with label ranking
- The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011)
- Pathway-based microarray analysis for robust disease classification
- MatchSim: a novel similarity measure based on maximum neighborhood matching
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- A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems
- Assessing age-related performance decrements in user interface tasks
- Higher-level innovization: A case study from Friction Stir Welding process optimization
- Integration of Swarm Intelligence and Artificial Neural Network
- Modified SBX and adaptive mutation for real world single objective optimization
- Swarm Intelligence and Neural Networks
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- Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
- A personalized summarization of video life-logs from an indoor multi-camera system using a fuzzy rule-based system with domain knowledge
- Optimization of the size of a solar thermal electricity plant by means of genetic algorithms
- Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems
- Investigating the Role of Nonmetallic Fillers in Particulate-Reinforced Mold Composites using EAs
- Improving Recommender Systems by Incorporating Social Contextual Information
- Learning to recommend with explicit and implicit social relations
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- Understanding knee points in bicriteria problems and their implications as preferred solution principles
- Requirements analysis for customization using subgroup differences and large sample user testing: A case study of information retrieval on handheld devices in healthcare
- Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm
- Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique
- A hybrid agent architecture integrating desire, intention and reinforcement learning
- CMAP
- Recommender systems with social regularization
- Efficient Sparse Generalized Multiple Kernel Learning
- Toward an Evolutionary Computing Modeling Language
- Mining Web Graphs for Recommendations
- 2011 Board of Governors
- A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints
- A Hybrid Framework with Enhanced Convergence and Diversity Preservation for Evolutionary Multiobjective Optimization
- An Improved Concurrent-Hybrid Algorithm for Enhanced Diversity and Accuracy in Evolutionary Multi-Objective Optimization
- Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization
- Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems
- Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System
- Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure
- Cricket Team Selection Using Evolutionary Multi-objective Optimization
- Empirical Comparisons of Attack and Protection Algorithms for Online Social Networks
- Enrichment and Reductionism: Two Approaches for Web Query Classification
- Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study
- Feature selection applicable to classification and clustering by the analysis of optical diffraction and entropy score discrimination
- Graphical Lasso Quadratic Discriminant Function for Character Recognition
- IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)
- Improving Factory Productivity and Energy Efficiency Through Holistic Simulation Optimisation
- Modified Self-Organizing Feature Map Neural Network with Semi-supervision for Change Detection in Remotely Sensed Images
- Multi-objective Evolutionary Optimisation for Product Design and Manufacturing
- Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches
- Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction
- Network Analysis, Automated
- Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images
- Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization
- Pathway-Based Microarray Analysis with Negatively Correlated Feature Sets for Disease Classification
- Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties
- Question Identification on Twitter, Accepted by CIKM 2011
- Simulation-Based Innovization Using Data Mining for Production Systems Analysis
- Social Media Tools and Platforms in Learning Environments
2010 103
- QoS-Aware Web Service Recommendation by Collaborative Filtering
- Calibration and Optimal Leakage Management for a Real Water Distribution Network
- Meme selection, variation, and transmission in multi-agent system
- A selective template matching algorithm for short and intuitive gesture UI of accelerometer-builtin mobile phones
- Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening
- Collaborative filtering model for user satisfaction prediction in Spoken Dialog System evaluation
- Collection of user judgments on spoken dialog system with crowdsourcing
- Predicting user evaluations of spoken dialog systems using semi-supervised learning
- Proceedings of the 8th international conference on Simulated evolution and learning
- Structural analysis of (TCR—)HLA/peptide complexes: An initial study
- Using finite state machines for evaluating spoken dialog systems
- AMGA2: improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization
- Enhancing Biological Relevance of a Weighted Gene Co-expression Network for Functional Module Identification
- Do in Thai Sense: Thailand's first online social network with Web 2.0 platform
- FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications
- Online learning for multi-task feature selection
- Routing questions to appropriate answerers in community question answering services
- Proceedings of second ACM SIGMM workshop on Social media
- Domain-specific initial population strategy for compliant mechanisms using customized genetic algorithm
- Fuzzy clustering algorithms for unsupervised change detection in remote sensing images
- Online Collaboration Tool for Asthma Action Plan With Usability (OCTAPUS)
- Youth Olympic Village Co-space
- An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions
- Guest Editorial Special Issue on Preference-Based Multiobjective Evolutionary Algorithms
- Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms
- Communication of Emotion in Social Robots through Simple Head and Arm Movements
- Sliders Rate Valence but not Arousal: Psychometrics of Self-Reported Emotion Assessment
- Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches
- Design of a contactless sensor system for woven-bag manufacture monitoring
- Measuring credibility of users in an E-learning social network
- Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
- Evolutionary algorithms in large-scale open pit mine scheduling
- Evolutionary multi-criterion optimization
- Evolutionary multi-objective optimization and decision making for selective laser sintering
- Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach
- Investigating EA solutions for approximate KKT conditions in smooth problems
- Diversifying Query Suggestion Results
- UserRec: A User Recommendation Framework in Social Tagging Systems
- Smooth Optimization for Effective Multiple Kernel Learning
- A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach
- Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design
- Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring
- Comparing lbest PSO niching algorithms using different position update rules
- Exploit of online social networks with Semi-Supervised Learning
- Hybrid gradient projection based Genetic Algorithms for constrained optimization
- Information visualization using the Weibull distribution
- Multi-task Learning for one-class classification
- Parallelization of binary and real-coded genetic algorithms on GPU using CUDA
- Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions
- Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem
- Discriminative Semi-Supervised Feature Selection Via Manifold Regularization
- Online Learning for Group Lasso
- Simple and Efficient Multiple Kernel Learning by Group Lasso
- An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm
- Evaluating hypertext
- Proceedings of the 21st ACM conference on Hypertext and hypermedia
- Bridging the Semantic Gap Between Image Contents and Tags
- Label Ranking with Semi-Supervised Learning
- Birds of a feather: How personality influences blog writing and reading
- Introduction to social recommendation
- Memetic Computation—Past, Present & Future [Research Frontier
- Automated Delineation of Subgroups in Web Video: A Medical Activism Case Study
- Tracking cohesive subgroups over time in inferred social networks
- A Loop Loading Technique for the Miniaturization of Non-Planar and Planar Antennas
- Human Computation Games and Optimization of Their Productivity
- An investigation on noise-induced features in robust evolutionary multi-objective optimization
- Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis
- A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach
- A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization
- A Gradient Projection based Hybrid Constrained Optimization Methodology using Genetic Algorithms
- A Self-Organizing Neural Architecture Integrating Desire
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- An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones
- ANN-Assisted Planning of Conjunctive Use of Canal and Ground Water in Canal Commands
- Ant Based Semi-supervised Classification
- Arrowhead Detection Method for Traffic Guidance Sign Structure Analysis based on Genetic Algorithm
- Autonomous Multi-agents in Flexible Flock Formation
- Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
- Comparison of NSGA-II and SPEA2 on the Multiobjective Environmental/Economic Dispatch Problem
- Computational Systems-Biology and Bioinformatics
- Cooperating Memes for Vehicle Routing Problems
- Evolutionary Multiobjective Optimization: Principles, Procedures, and Practices
- Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning
- First symposium on the Personal Web
- Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding
- Improving Differential Evolution by Altering Steps in EC
- Introduction to Social Computing
- Microarray-Based Disease Classification Using Pathway Activities with Negatively Correlated Feature Sets
- Motivation
- Neural Meta-Memes Framework for Combinatorial Optimization
- New methods for clinical decision support in hospitals
- Overview of the Smart Internet
- Parallel Lcs Algorithm for Pairwise Sequence Alignment
- Predicting User Activities in the Sequence of Mobile Context for Ambient Intelligence Environment Using Dynamic Bayesian Network
- Predictive Distribution Matching SVM for Multi-domain Learning
- Recent Developments in Evolutionary Multi-Objective Optimization
- Smart Interactions
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- The Smart Internet
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- Towards a Link between Knee Solutions and Preferred Solution Methodologies
- Using Motion Sensing to Study Human Computer Interaction in Hospital Settings
2009 104
- A self-organizing neural architecture integrating desire, intention and reinforcement learning
- Proceedings of the 16th International Conference on Neural Information Processing: Part II
- Generalizing Surrogate-Assisted Evolutionary Computation
- Adaptive Regularization for Transductive Support Vector Machine
- A Push for Software Process Improvement in Thailand
- Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm
- Learning Predictive Models of Memory Landmarks based on Attributed Bayesian Networks Using Mobile Context Log
- Is Web-only self-care education sufficient for heart failure patients?
- DISSECT: Data-Intensive Socially Similar Evolving Community Tracker
- Evaluating HMI device for in-car systems ― Device usability in static/driving conditions -
- A social recommendation framework based on multi-scale continuous conditional random fields
- Automobile, car and BMW
- Enhancing expertise retrieval using community-aware strategies
- MatchSim
- Proceedings of the 2nd ACM workshop on Social web search and mining
- Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
- Learning to recommend with trust and distrust relationships
- Proceedings of the first SIGMM workshop on Social media
- Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic
- Faster Hypervolume-Based Search Using Monte Carlo Sampling
- Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search
- First ACM SIGMM international workshop onsocial media (WSM'09)
- Emotrace: Tracing Emotions through Human-System Interaction
- Lamarckian memetic algorithms: local optimum and connectivity structure analysis
- A Hierarchical Approach to Study the Thermal Behavior of Protonated Water Clusters H+(H2O)n
- Emotional Majority Agreement a psychometric property of affective self-report instruments
- Model-driven coding with VPAT: The Verbal Protocol Analysis Tool
- Optimization in microbial pest control: An integrated approach
- An interactive evolutionary multi-objective optimization and decision making procedure
- Reliability-Based Optimization Using Evolutionary Algorithms
- Entropy-biased models for query representation on the click graph
- Learning to recommend with social trust ensemble
- Univariate Filter Technique for Unsupervised Feature Selection Using a New Laplacian Score Based Local Nearest Neighbors
- WSRec: A Collaborative Filtering Based Web Service Recommender System
- A generalized Co-HITS algorithm and its application to bipartite graphs
- Non-monotonic feature selection
- A brief survey of computational approaches in Social Computing
- A Probabilistic Memetic Framework
- Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data
- Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data
- Constrained many-objective optimization: A way forward
- Constructing test problems for bilevel evolutionary multi-objective optimization
- Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
- Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
- Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
- A proposition on memes and meta-memes in computing for higher-order learning
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- Reference Frame Congruency in Search-and-Rescue Tasks
- Use of aggregation pheromone density for image segmentation
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- Genetic Algorithm-Based Multicriteria Optimization of Ironmaking in the Blast Furnace
- Effective latent space graph-based re-ranking model with global consistency
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- Editorial to the first issue
- 09041 Abstracts Collection – Hybrid and Robust Approaches to Multiobjective Optimization
- 09041 Summary – Hybrid and Robust Approaches to Multiobjective Optimization
- 09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round)
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- A classical-cum-Evolutionary Multi-objective optimization for optimal machining parameters
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- An Introduction to Swarm Intelligence for Multi-objective Problems in Data Mining
- Ant based supervised and unsupervised land use map generation from remotely sensed images
- Best Compromise Solutions for Stochastic Multi-Objective Environmental/Economic Dispatch of Power Systems using Evolutionary Chance-Constrained Nonlinear Programming and Latin Hybercube Sampling
- Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
- Customized Evolutionary Optimization of Compliant Mechanism to Generate Multiple Light Weight Topologies
- Development of an Emotional Interface for Sustainable Water Consumption in the Home
- Emotional Bandwidth: Information Theory Analysis of Affective Response Ratings Using a Continuous Slider
- Emotions and Messages in Simple Robot Gestures
- Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification
- Evolution’s Niche in Multi-Criterion Problem Solving
- Hybrid and Robust Approaches to Multiobjective Optimization
- Learning with unlabeled data
- Let’s Tango – Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis
- Mathematical Modeling of Social Games
- Message from the WSCE 2009 Workshop Chairs
- Mobility, Emotion, and Universality in Future Collaboration
- Neural information processing : 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009 : proceedings
- Optimal View Selection and Event Retrieval in Multi-Camera Office Environment
- Procedurally Placement of Tropical Beach Vegetation in Level Design Tools
- Recognizing Human Activities from Accelerometer and Physiological Sensors
- Responsive interfaces : Mobility, emotion and universality
- Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection
- Semi-supervised Methods
- Sensor-based support of clinical contexts in hospitals
- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
- Simulation-based Innovization for production systems improvement : An industrial case study
- SITCON
- Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
- Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge
- Swarm Intelligence for Multi-objective Problems in Data Mining
- TagRec: Leveraging Tagging Wisdom for Recommendation
- Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm
- Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
- Weaving Services and People on the World Wide Web
- Web mining techniques for query log analysis and expertise retrieval
- WSCE 2009 Organizing and Program Committees
2008 88
- Personalization of PIM Functionality within Mobile Devices
- Feature Selection Using Single/Multi-Objective Memetic Frameworks
- A Volume-Based Heat-Diffusion Classifier
- A biased minimax probability machine-based scheme for relevance feedback in image retrieval
- An Extended Level Method for Efficient Multiple Kernel Learning
- Proceedings of the 7th International Conference on Simulated Evolution and Learning
- A novel kernel-based maximum a posteriori classification method
- Aggregation Pheromone Density Based Classification
- An Analytical Approach to Optimizing the Utility of ESP Games
- An Analytical Study of Puzzle Selection Strategies for the ESP Game
- Direct Zero-Norm Optimization for Feature Selection
- Formal Models for Expert Finding on DBLP Bibliography Data
- RATE: A Review of Reviewers in a Manuscript Review Process
- Semi-supervised Learning from General Unlabeled Data
- Localized support vector regression for time series prediction
- A recommender system for prostate cancer websites.
- Game 2.0 and beyond
- Learning latent semantic relations from clickthrough data for query suggestion
- Mining social networks using heat diffusion processes for marketing candidates selection
- Semi-supervised text categorization by active search
- SoRec
- The effect of stereoscopic viewing in a word‐search task with a layered background
- Identification of Full and Partial Class Relevant Genes
- Editorial
- Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system
- Arbitrary Norm Support Vector Machines
- Machine Learning: Modeling Data Locally and Globally
- Cancer classification with incremental gene selection based on DNA microarray data
- Kernel Maximum a Posteriori Classification with Error Bound Analysis
- Special issue on emerging trends in soft computing: memetic algorithms
- A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms
- A robust evolutionary framework for multi-objective optimization
- AMGA
- Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography
- In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm
- Non-genetic transmission of memes by diffusion
- Optinformatics for schema analysis of binary genetic algorithms
- A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems
- Automatic detection of cohesive subgroups within social hypertext: A heuristic approach
- International Conference on Neural Information Processing (ICONIP 2006)
- Multiscale Approach to Explore the Potential Energy Surface of Water Clusters (H2O)nn ≤ 8
- A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
- An empirical study of Genetic Programming generated trading rules in computerized stock trading service system
- An investigation on evolutionary gradient search for multi-objective optimization
- Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems
- Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design
- Design and validation of a hybrid interactive reference point method for multi-objective optimization
- Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
- Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel
- Extreme learning machine for multi-categories classification applications
- Memetic Gradient Search
- Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure
- A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
- Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead
- Unsupervised Context-Sensitive Change Detection Techniques Based on Self-Organizing Feature Map Neural Network
- Introduction
- A BDI Assignment Protocol With New Cooperative-Concession Strategies
- Symbolic regression, parsimony, and some theoretical considerations about GP search space
- A Genetic Algorithm Based Bus Scheduling Model for Transit Network
- Aggregation pheromone density based data clustering
- An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network
- Robust BMPM training based on second-order cone programming and its application in medical diagnosis
- A fast pruned-extreme learning machine for classification problem
- Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
- Multiobjective Problem Solving from Nature: From Concepts to Applications (Natural Computing Series)
- On the effects of basis-set in studying the hydration and dissociation of HF in cubic HF(H2O)7 clusters
- A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms
- A Fuzzy Approach for Personalized Product Clustering with Flexible Discriminating Power
- A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence
- A Multi-Objective Memetic Algorithm Based Clustering Method.
- A Review of Nadir Point Estimation Procedures Using Evolutionary Approaches: A Tale of Dimensionality Reduction
- An Improved Initial Population Strategy for Compliant Mechanism Designs Using Evolutionary Optimization
- Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron
- Estimating Nadir Objective Vector : Hybrid of Evolutionary and Local Search
- Evolutionary Design in Engineering
- Evolutionary Optimization with Dynamic Fidelity Computational Models
- Extracting Structural Image Contents
- Future Challenges
- Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases
- Genetic and Evolutionary Computation Conference 2008 : GECCO 2008
- Interleaving Guidance in Evolutionary Multi-Objective Optimization
- Introduction to Evolutionary Multiobjective Optimization
- Machine Learning
- Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
- Multiobjective Problem Solving from Nature: From Concepts to Applications
- Simulated Evolution and Learning
- Simulated evolution and learning: proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL 2008), Melbourne, Victoria, Australia, 07-10 December 2008
- Usability of a mobile electronic medical record prototype: a verbal protocol analysis
2007 89
- A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images
- Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem
- Efficient Convex Relaxation for Transductive Support Vector Machine
- Feature Selection Based on Minimum Error Minimax Probability Machine
- Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images
- Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization
- Introduction: Problem Solving, EC and EMO
- On Handling a Large Number of Objectives A Posteriori and During Optimization
- Hybrid ant colony algorithms for path planning in sparse graphs
- An Ant Colony System algorithm for path planning in sparse graphs
- Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure
- Current trends in evolutionary multi-objective optimization
- Customizing online education for cardiac patients
- Driving Under the Influence of Phones: The Importance of Cognitive Ability and Cognitive Style on Interruption-Related Performance
- The generalized dependency degree between attributes
- A direct first principles study on the structure and electronic properties of BexZn1−xO
- Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers
- Identifying subcommunities using cohesive subgroups in social hypertext
- Extracted Structural Features for Image Comparison
- A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming
- A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data
- A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-objective Evolutionary Procedure
- A study on the design issues of Memetic Algorithm
- Bibliographic Attributes Extraction with Layer-upon-Layer Tagging
- Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
- Hierarchical model parallel memetic algorithm in heterogeneous computing environment
- Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems
- Light beam search based multi-objective optimization using evolutionary algorithms
- NEMO: neural enhancement for multiobjective optimization
- Noise-induced features in robust multi-objective optimization problems
- Reliability-based optimization for multiple constraints with evolutionary algorithms
- Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms
- Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective
- A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization
- Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization
- A Bayesian Network Framework for Vision Based Semantic Scene Understanding
- Large Scale Imbalanced Classification with Biased Minimax Probability Machine
- Maximum Margin based Semi-supervised Spectral Kernel Learning
- Two-stage Multi-class AdaBoost for Facial Expression Recognition
- Group differences in physician responses to handheld presentation of clinical evidence: a verbal protocol analysis
- DiffusionRank
- Effective missing data prediction for collaborative filtering
- A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
- Evolutionary multiobjective optimization
- Evolutionary practical optimization
- Interactive evolutionary multi-objective optimization and decision-making using reference direction method
- Self-adaptive simulated binary crossover for real-parameter optimization
- Remote augmented reality for multiple players over network
- Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling
- I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
- Multi-objective Evolutionary Algorithms for Resource Allocation Problems
- Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding
- Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms
- Efficient training on biased minimax probability machine for imbalanced text classification
- Measuring credibility of users in an e-learning environment
- Web page classification with heterogeneous data fusion
- A Flow Model of Web Services for the Grid
- Earpod
- Evolutionary Multi-Objective Optimization Without Additional Parameters
- An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies
- Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
- Markov blanket-embedded genetic algorithm for gene selection
- A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks
- Unsupervised Change Detection in Remote-Sensing Images Using Modified Self-Organizing Feature Map Neural Network
- Special Issue on Memetic Algorithms
- Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
- 06501 Abstracts Collection – Practical Approaches to Multi-Objective Optimization
- A Computational Method for Viewing Molecular Interactions in Docking
- A Novel Discriminative Naive Bayesian Network for Classification
- A Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in Surrogate-Assisted Memetic Algorithms
- A Tutorial on RDF with Jena
- An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks
- Character Agents in E-Learning Interface Using Multimodal Real-Time Interaction
- Evolutionary Computation in Dynamic and Uncertain Environments
- Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network
- GECCO 2007: Genetic and Evolutionary Computation Conference
- Identifying active subgroups in online communities
- Identifying communities in blogs: roles for social network analysis and survey instruments
- Individual Differences in Personal Information Management
- Machine learning models on random graphs
- Memetic Algorithms for Feature Selection on Microarray Data
- Multi-Objective Evolutionary Algorithm for Land-Use Management Problem
- Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem
- Problem definitions for performance assessment of multi-objective optimization algorithms
- Process Design for Multidisciplinary Patient Care Meetings: Considering the Human Factor
- Represent Image Contents Using Curves and Chain Code
- Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty
- Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World
- Using Glyphs to Facilitate Transition from Hierarchical Selection to Gesturing
2006 75
- Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization
- Memetic algorithm using multi-surrogates for computationally expensive optimization problems
- Aggregation Pheromone Density Based Change Detection in Remotely Sensed Images
- Aggregation Pheromone Density Based Clustering
- Empathic Multiple Tutoring Agents for Multiple Learner Interface
- PageSim: A Novel Link-Based Similarity Measure for the World Wide Web
- Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network
- Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
- Introducing Robustness in Multi-Objective Optimization
- Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II (Lecture Notes in Computer Science)
- Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization
- Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems
- Proceedings of the 13th international conference on Neural information processing - Volume Part III
- Congruency between Visual and Auditory Displays on Spatial Tasks Using Different Reference Frames
- Differences in Cognitive Ability and Preference Mediate Effects of Interruptions on Simulated Driving Performance
- Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms
- A Framework for Automated Evaluation of Hypertext Search Interfaces
- A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization
- Classification of extended control chart patterns: a neural networks approach
- Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation
- Ergonomic Design of an Optimal Hindi Keyboard for Convenient Use
- Evolutionary Aggregation and Refinement of Bayesian Networks
- Evolutionary Othello Players Boosted by Opening Knowledge
- Image shape representation using curve fitting
- Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems
- Trusted Evolutionary Algorithm
- On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
- Inverse multi-objective robust evolutionary design
- Editorial to special issue on evolutionary computation in dynamic and uncertain environments
- A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets
- A social hypertext model for finding community in blogs
- A context switchable fuzzy inference chip
- Max-min surrogate-assisted evolutionary algorithm for robust design
- Imbalanced learning with a biased minimax probability machine
- A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
- Adaptation for parallel memetic algorithm based on population entropy
- Comparison of multi-modal optimization algorithms based on evolutionary algorithms
- Innovization
- Multi-objective test problems, linkages, and evolutionary methodologies
- Reference point based multi-objective optimization using evolutionary algorithms
- Towards estimating nadir objective vector using evolutionary approaches
- Control of flow using genetic algorithm for a circular cylinder executing rotary oscillation
- A New Machine Learning Paradigm for Terrain Reconstruction
- Evolutionary neural networks for anomaly detection based on the behavior of a program
- Reservoir Characterization Using Support Vector Machines
- A user profile-based approach for personal information access
- Bilingual web page and site readability assessment
- PageSim
- A Simple Surface Representation Scheme for Rigid Body Docking
- Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives
- Maximizing sensitivity in medical diagnosis using biased minimax probability Machine
- Searching in audio
- Multi-Objective Evolutionary Algorithms for Engineering Shape Design
- Intelligent Web Interface Using Flexible Conversational Agent with Semantic Bayesian Networks
- Are two talking heads better than one?
- Classification of adaptive memetic algorithms: a comparative study
- Elastic Hierarchies: Combining Treemaps and Node-Link Diagrams
- A development platform for Memetic Algorithm design
- A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems
- Aggregation Pheromone Density Based Image Segmentation
- Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval
- Characteristics of flow over bottom racks
- Computational Capabilities of Soft-Computing Frameworks: An Overview
- Discovery Association Rules in Time Series Data
- Dual Guidance in Evolutionary Multi-objective Optimization by Localization
- Empathic tutoring software agents using real-time eye tracking
- Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks
- Local Support Vector Regression for Financial Time Series Prediction
- Monotonicity Analysis, Evolutionary Multi-objective Optimization, and Discovery of Design Principles
- Neural information processing : 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, proceedings
- Optimal Strategies oftheIterated Prisoner's DilemmaProblem for Multiple Conflicting Objectives
- Practical optimization using evolutionary methods
- Predictive Random Graph Ranking on the Web
- Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization
- Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch
2005 54
- A Study on Polynomial Regression and Gaussian Process Global Surrogate Model in Hierarchical Surrogate-Assisted Evolutionary Algorithm
- Handling Constraints In Robust Multi-Objective Optimization
- Wear characterization by fractal mathematics for quality improvement of machine
- Evaluating the ε-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions
- A probabilistic cooperative–competitive hierarchical model for global optimization
- Mobile text entry
- Scalable Test Problems for Evolutionary Multiobjective Optimization
- Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I (Lecture Notes in ... Science) (Lecture Notes in Computer Science)
- Improving the Usability and Effectiveness of Online Learning: How Can Avatars help?
- Simple Visualizations Enhance Speaker Identification when Listening to Spatialized Voices
- Novel composition test functions for numerical global optimization
- Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
- Least Mean Square Error Reconstruction Learning in Recurrent Network
- A service-oriented approach for aerodynamic shape optimisation across institutional boundaries
- Study of migration topology in island model parallel hybrid-ga for large scale quadratic assignment problems
- Experimental condition selection in whole-genome functional classification
- Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
- Solving large scale combinatorial optimization using PMA-SLS
- A genetic algorithm for the multi-class contingent bidding model
- Multi-objective optimization of a leg mechanism using genetic algorithms
- Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine
- Evolutionary Fuzzy Clustering Algorithm with Knowledge-Based Evaluation and Applications for Gene Expression Profiling
- Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns
- Multiclass protein fold recognition using multiobjective evolutionary algorithms
- Video summarization by video structure analysis and graph optimization
- Biased support vector machine for relevance feedback in image retrieval
- Parallelizing multi-objective evolutionary algorithms: cone separation
- Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control
- Hierarchical surrogate-assisted evolutionary optimization framework
- 04461 Summary – Practical Approaches to Multi-Criterion Optimization
- A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
- A Novel Video Summarization Framework for Document Preparation and Archival Applications
- A Tutorial on Evolutionary Multi-Objective Optimization (EMO)
- Advances in Natural Computation
- Advances in natural computation : First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005 : proceedings
- ARCADE: Augmented Reality Computing Arena for Digital Entertainment
- Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method
- Design and implementation of an efficient multi-cluster GridRPC system
- Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms
- Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches
- Grid Enabled Optimization
- Heat Diffusion Model and its Applications
- I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool
- Information retrieval in P2P networks using genetic algorithm
- Integrating User Preferences into Evolutionary Multi-Objective Optimization
- Omni-optimizer: A Procedure for Single and Multi-objective Optimization
- On Properly Pareto Optimal Solutions
- Practical Approaches to Multi-Objective Optimization
- Predictive ranking
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization
- Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems
- Synthesis of mechanical error in rapid prototyping processes using stochastic 1 approach
- Two-Phase LMR-RC Tagging for Chinese Word Segmentation
2004 62
- The Minimum Error Minimax Probability Machine
- Fitness landscapes
- Introduction to selection
- Limitations of evolutionary computation methods
- Speciation methods
- Learning classifiers from imbalanced data based on biased minimax probability machine
- Effect of different network analysis strategies on search engine re-ranking
- Video summarization by spatial-temporal graph optimization
- Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications
- Evolution of emergent behaviors for shooting game characters in Robocode
- Multiobjective Placement of Electronic Components Using Evolutionary Algorithms
- Physician Responses to Handheld Presentation of Clinical Evidence: Analysis of Group Differences
- Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation
- An efficient algorithm to compute differences between structured documents
- Evaluating Evolutionary Multi-objective Optimization Algorithms Using Running Performance Metrics
- A parallel hybrid GA for combinatorial optimization using grid technology
- Computationally effective search and optimization procedure using coarse to fine approximations
- Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design
- Distributed content-based visual information retrieval system on peer-to-peer networks
- Handwritten chinese character recognition using kernel active handwriting model
- A population-based algorithm-generator for real-parameter optimization
- Individual differences and task-based user interface evaluation: a case study of pending tasks in email
- Single and Multi-objective Optimization Using Evolutionary Computation
- Locating support vectors via β-skeleton technique
- Surrogate-assisted coevolutionary search
- Simultaneous price and due date settings for multiple customer classes
- Incremental support vector machine for unlabeled data classification
- Non-fixed and asymmetrical margin approach to stock market prediction using Support Vector Regression
- Structure-adaptive SOM to classify 3-dimensional point light actors' gender
- Meta-Lamarckian Learning in Memetic Algorithms
- Constructing a large node Chow-Liu tree based on frequent itemsets
- Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles
- Behavior selection architecture for tangible agent
- Discriminative training of Bayesian Chow-Liu multinet classifiers
- Branching Competitive Learning Network: A Novel Self-Creating Model
- Optimization for Engineering Design: Algorithms and Examples
- Face recognition committee machines: dynamic vs. static structures
- “Gridifying” Aerodynamic Design Problem Using GridRPC
- A Revenue Management Approach for a Make-to-Order Bidding System
- Biased Minimax Probability Machine for Medical Diagnosis.
- Drag Optimization For A Circular Cylinder At High Reynolds Number By Rotary Oscillation Using Genetic Algorithms
- Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm
- Financial Time Series Prediction Using Non-fixed and Asymmetrical Margin Setting with Momentum in Support Vector Regression
- Finding Knees in Multi-objective Optimization
- GADKit -A Toolkit for “Gridifying” Applications
- Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I
- Improving Chow-Liu Tree Performance by Mining Association Rules
- Introduction to Genetic Algorithms for Engineering Optimization
- Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm
- Learning large margin classifiers locally and globally
- Multi-Class Protein Fold Recognition Using Multi-Objective Evolutionary Algorithms
- Optimal Gene Selection for Cancer Classification with Partial Correlation and k-Nearest Neighbor Classifier
- Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
- Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
- Reverse Engineering Using Loop Subdivision
- The Vocal Village: Enhancing Collaboration with Spatialized Audio
- The When, Where and Why of Mobile Access to Medical Evidence: A Socio-Technical Analysis of a Field Trial
- Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation
- User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
- Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map
- Using Memetic Algorithms for Fuzzy Modelling
- Whole-genome functional classification of genes by latent semantic analysis on microarray data
2003 58
- Face recognition committee machine
- Lossy 3D mesh compression using loop scheme
- Reliable classification of two-class cancer data using evolutionary algorithms
- Spatialized audioconferencing: what are the benefits?
- The Privacy Attitudes Questionnaire (PAQ): Initial Development and Validation
- Unveiling innovative design principles by means of multiple conflicting objectives
- Logical structure analysis and generation for structured documents: A syntactic approach
- Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms
- Extracting latent structures in numerical classification: an investigation using two factor models
- Learning maximum likelihood semi-naive Bayesian network classifier
- Book reviews
- A study of the relationship between support vector machine and Gabriel graph
- An evolutionary algorithm for constrained multi-objective optimization
- Analysis of direct manipulation in interactive evolutionary computation on fitness landscape
- Evolving speciated checkers players with crowding algorithm
- Managing metadata over the WWW using eXtensible markup language (XML) [for electric power industry]
- Measuring evolvability in evolutionary fuzzy robotics
- Real-coded evolutionary algorithms with parent-centric recombination
- Relevance feedback based on parameter estimation of target distribution
- Scalable multi-objective optimization test problems
- Integrated probability function and its application to content-based image retrieval by relevance feedback
- Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
- Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
- Extracting intuitive strokes in complex structured patterns with domain knowledge
- Gaussian mixture distance for information retrieval
- Information retrieval using local linear PCA
- A web-based power flow simulator for power engineering education
- An alternative constraint handling method for evolution strategies
- FF99: a novel fuzzy first-order logic learning system
- Fuzzy-genetic algorithms and mobile robot navigation among static obstacles
- Solving goal programming problems using multi-objective genetic algorithms
- Towards understanding constraint-handling methods in evolutionary algorithms
- The operator as a purposive system: a new approach to human factors
- Individual differences in exploration using desktop VR
- Optimal Scheduling of Casting Sequence Using Genetic Algorithms
- A neural network based testbed for modelling sensorimotor integration in robotic applications
- Design orientation and ergonomics
- A Face Processing System Based on Committee Machine: The Approach and Experimental Results
- Choice of Memes In Memetic Algorithm
- Distributed computing of Pareto-optimal solutions using multi-objective evolutionary algorithms
- Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms
- Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications
- Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
- Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
- Genetic and evolutionary computation - GECCO 2003 : Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003 : proceedings
- Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms
- Incorporating Ancestors' Influence in Genetic Algorithms
- Intelligent Well Log Data Analysis for Reservoir Characterization
- Learning Action Selection Network of Intelligent Agent
- MEH: modular evolvable hardware for designing complex circuits
- Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions
- Parameter identification using memetic algorithms for fuzzy systems
- Peer Clustering and Firework Query Model in the Peer›to›Peer Network
- Performance Scaling of Multi-objective Evolutionary Algorithms
- Searching under Multi-evolutionary Pressures
- Solving the inverse loop subdivision surface problem and its practical applications
- The good of the many outweighs the good of the one: evolutionary multi-objective optimization
- Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions
2002 50
- Facial expression synthesis by radial basis function network and image warping
- Performance analysis of a new updating rule for TD(λ) learning in feedforward networks for position evaluation in Go game
- An application of the discrete Fourier transformation in simulating large neural networks
- A neural network for the detection of rotational motion
- Truncated experiments and field experiments in usability engineering
- The Insulin Resistance and Atherosclerosis Study (IRAS). Plasma and dietary vitamin E in relation to incidence of type 2 diabetes: The Insulin Resistance and Atherosclerosis Study (IRAS)
- A distance measure for video sequence similarity matching
- Intra-block algorithm for digital watermarking
- Performance analysis of clustering algorithms for information retrieval in image databases
- Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization
- Using rival penalized competitive clustering for feature indexing in Hong Kong's textile and fashion image database
- A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization
- An application of genetic algorithms to evolve Hopfield type optimum network architectures for object extraction
- On-line handwriting recognition with a neuro-fuzzy method
- A 3D modeling system for creative design
- Accelerating evolution by direct manipulation for interactive fashion design
- An adaptive codebook design using the branching competitive learning network
- Coordination of multiple behavior modules evolved on CAM-Brain
- Evolving multiple sensory-motor controllers based on cellular neural network
- Gender recognition of human behaviors using neural ensembles
- Observational emergence of a fuzzy controller evolved by genetic algorithm
- Building virtual communities for research collaboration
- Exploiting coalition in co-evolutionary learning
- Towards an evaluation methodology for the development of research-oriented virtual communities
- Design of documentation for handheld ergonomics
- Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach
- Measurement of technology mediated communication style: the communication preferences inventory (CPI)
- Re-ranking search results using network analysis a case study with google: a case study with Google
- Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
- Estimating the efficiency of recognizing gender and affect from biological motion
- How Good is Search Engine Ranking? a Validation Study with Human Judges
- Multi–objective Evolutionary Algorithms for the Risk–return Trade–off in Bank Loan Management
- Profiling Users of a Unified Communication Service: Understanding Communication Traits and Styles
- A human-oriented image retrieval system using interactive genetic algorithm
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- An efficient decoding technique for Huffman codes
- A domain knowledge based search advisor for design problem solving environments
- A GA-FUZZY Approach to Evolve Hopfield Type Optimum Networks for Object Extraction
- Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization
- Automated optimization system for aircraft wing design
- Communication Preferences and E-Learning
- Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation
- Knowledge discovery in databases with categorical data
- Managing Metadata over the WWW using eXtensible Markup Language (XML)
- Running performance metrics for evolutionary multi-objective optimizations
- Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem
- Searching the hypermedia Web: improved topic distillation through network analytic relevance ranking
- Simultaneous Price and Due Date Settings for Multiple Customer Classes with Contingent and Urgent Orders
- Support Vector Machine Regression for Volatile Stock Market Prediction
- Ultra low frequency estimation: a neglected apportion
2001 18
- Scalable test problems for evolutionary multi-objective optimization
- On self-adaptive features in real-parameter evolutionary algorithms
- On the convergence and diversity-preservation properties of multi-objective evolutionary algorithms
- Self-Adaptive Genetic Algorithms with Simulated Binary Crossover
- Design of truss-structures for minimum weight using genetic algorithms
- Java-based applications for accessing power system data via intranet, extranet and internet
- The impact of text browsing on text retrieval performance
- Nonlinear goal programming using multi-objective genetic algorithms
- Optimal fleet size distribution and scheduling of transit systems using genetic algorithms
- A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design
- A PCA approach for fast retrieval of structural patterns in attributed graphs
- An Agent-based Platform for Online Auctions
- Application of Synergistic Neural Networks in Data Classification
- Assessment of the effects of user characteristics on mental models of information retrieval systems
- Constrained Test Problems for Multi-objective Evolutionary Optimization
- Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence
- Hierarchical Classification of Documents with Error Control
- Multi-Objective Optimization Using Evolutionary Algorithms
2000 23
- Encoding and decoding functions
- A genetic algorithm based heat transfer analysis of a bloom re-heating furnace
- Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
- A Two-Stage Framework for Polygon Retrieval
- An efficient constraint handling method for genetic algorithms
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
- Introduction to the Special Issue: Multicriterion Optimization
- Optimal turning gait of a six-legged robot using a GA-fuzzy approach
- Automated vectorization of cartographic maps by a knowledge-based system
- A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
- Algorithms for automatic generation of one-line diagrams
- Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function
- Content-Based Image Retrieval By Relevance Feedback
- Hierarchical data visualization in desktop virtual reality
- Mechanical Component Design for Multiple Ojectives Using Elitist Non-dominated Sorting GA
- Monitoring cognitive performance with a serious game: A longitudinal case study on online cognitive assessment using serious games
- Multi-Objective Evolutionary Optimization: Past, Present, and Future
- On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms
- Optimization of Composite Laminates with Cutouts Using Genetic Algorithm, Variable Metric and Complex Search Methods
- Parallel Problem Solving from Nature PPSN VI
- Parallel Problem Solving from Nature PPSN VI: 6th International Conference Paris, France, September 18-20, 2000 Proceedings
- Regression analysis for Rival Penalized Competitive Learning Binary Tree
- Test-case generator for nonlinear continuous parameter optimization techniques
1999 27
- Genetic Algorithms
- Comparison of multiobjective evolutionary algorithms: empirical results (Revised Version)
- Dynamic hypertext
- Fuzzy-genetic Algorithms and Time-optimal Obstacle-free Path Generation for Mobile Robots
- Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems
- An introduction to genetic algorithms
- Design of a genetic-fuzzy system for planning optimal path and gait simultaneously of a six-legged robot
- Self-adaptation in real-parameter genetic algorithms with simulated binary crossover
- A Distance Measure for Video Sequences
- Genetic Programming 1998: Proceedings of the Third Annual Conference
- Mobile computing and accessibility
- Discriminating meta-search: a framework for evaluation
- Free Vibration of Laminated Composite Plates with Cutout
- A genetic-fuzzy approach for mobile robot navigation among moving obstacles
- A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms
- Construction of Test Problems for Multi-Objective Optimization.
- Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot
- Development of internet applications for SCADA systems
- Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval
- Human—Computer Interaction
- Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm
- Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
- On the Analysis of Self-Adaptive Evolutionary Algorithms
- Optimum design of laminated composite plates with cutouts undergoing large amplitude oscillations
- Registration Procedures for URL Scheme Names Status of this Memo This document specifies an Internet Best Current Practices for the Internet Community, and requests discussion and suggestions for improvements. Distribution of this memo is unlimited.
- Rule-based integration of multiple neural networks evolved based on cellular automata
- Towards Information Retrieval Measures for Evaluation of Web Search Engines
1998 27
- The Effect of Overview Displays on Situation Assessment
- Network‐Wide Optimal Scheduling of Transit Systems Using Genetic Algorithms
- Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm
- Optimum design of laminated composite plates with cutouts using a genetic algorithm
- A Flexible Optimization Procedure for Mechanical Component Design Based on Genetic Adaptive Search
- An efficient iterative pose estimation algorithm
- Electronic engineering notebooks
- Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms
- Sensor network design of linear processes using genetic algorithms
- A combined heat transfer and genetic algorithm modeling of an integrated steel plant bloom re-heating furnace
- Analytic curve detection from a noisy binary edge map using genetic algorithm
- ClickIR: Text Retrieval using a Dynamic Hypertext Interface.
- Compressed Introns in a Linkage Learning Genetic Algorithm
- Cooperative-competitive as a Genetic Operator in Global Optimization
- Genetic algorithm in search and optimization: the technique and applications
- In Information Exploration
- Information archiving with bookmarks
- Intra-block max-min algorithm for embedding robust digital watermark into images
- Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach
- Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks
- Optimal Operating Conditions for the Primary End of an Integrated Steel Plant: Genetic Adaptive Search and Classical Techniques.
- Optimal operating conditions steel plant: genetic adaptive for the search primary end of an integrated and classical techniques
- Optimal truss-structure design using real-coded genetic algorithms
- Theoretical aspects of neural computation : a multidisciplinary perspective : International Workshop, TANC '97, Hong Kong, 26-28 May 1997
- Two-Stage Polygon Representation for Efficient Shape Retrieval in Image Databases
- Understanding Interactions among Genetic Algorithm Parameters.
- Video sequence similarity matching
1997 17
- Dynamic Hypertext Benefits Novices in Question Answering
- Optimum design of laminated composite rectangular plates with cutouts using genetic algorithm
- Optimal design of an ammonia synthesis reactor using genetic algorithms
- The newspaper as an information exploration metaphor
- A two-stage framework for polygon retrieval using Minimum Circular Error Bound
- Car Suspension Design for Comfort Using Genetic Algorithm.
- Competitive Learning Clustering for Information Retrieval in Image Databases.
- Design and evaluation of web-based dynamic hypertexts
- Evolutionary Computation Models
- Formal experiments in casual attire: case studies in information exploration
- From information retrieval to hypertext and back again: the role of interaction in the information exploration interface
- Fundamental Concepts of Evolutionary Computation
- Gabor-wavelet decomposition based filtering of gray-level images for object and scene recognition experiments
- GeneAS: A Robust Optimal Design Technique for Mechanical Component Design
- Montage : An image database for the fashion, textile, and clothing industry in Hong Kong
- Optimizing Engineering Designs Using a Combined Genetic Search.
- Website Authoring using Dynamic Hypertext.
1996 11
- Steps toward output device-independent feedback: evaluation of a standardised vocabulary
- Expertise and Technology: Cognition and Human-Computer Cooperation Edited by Jean-Michel Hoc, Pietro C. Cacciabue, and Erik Hollnagel 1995, 289 pages, $45.00 Hillsdale, NJ: Erlbaum ISBN 0-8058-1511-2
- Analysis of Selection Algorithms: A Markov Chain Approach
- VOIR
- A combined genetic adaptive search (GeneAS) for engineering design
- A data reduction method for efficient document skew estimation based on Hough transformation
- Developing usable online information for a Web authoring tool
- Merging hypertext and information retrieval in the interface
- Optimal design of composite turbine blade using genetic algorithms
- Randomized generalized Hough transform for 2-D gray scale object detection
- Recognition of unconstrained handwritten numerals by doubly self-organizing neural network
1995 12
- Generating complementary gray-level images for object recognition experiments using Gabor wavelet decomposition
- Browsing local and global information
- Optimal Scheduling of Urban Transit Systems Using Genetic Algorithms
- End user as developer: free-form multimedia
- Report on the Computer Strategy-Game Programming Workshop
- A New Approach for Network Topology Optimization
- Book Review: Human-Computer Interaction
- Combining multiple neural networks by fuzzy integral for robust classification
- Discount Video Analysis for Usability Engineering
- Is Recall Relevant? An Analysis of How User Interface Conditions Affect Strategies and Performance in Large Scale Text Retrieval.
- Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems.
- Simulated Binary Crossover for Continuous Search Space.
1994 10
- Optimization of back propagation algorithm and GAS-assisted ANN models for hot metal desulphurization
- Sufficient conditions for deceptive and easy binary functions
- Genetic adaptive search model of hot metal desulphurization
- Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
- Neo-statistical methods of recognition: Neural network, hidden Markov model, and their hybridization
- Implicit Niching in a Learning Classifier System: Nature's Way
- Interactive exploration as a formal text retrieval method : how well can interactivity compensate for unsophisticated retrieval algorithms
- Long path problems
- Multi-objective Function Optimization Using Non-dominated Sorting Genetic Algorithms
- The Formation of Spatiotemporal Masks From 1-D Sinusoidal Grating Patterns with Principal Component Analysis Learning
1993 19
- Information visualization and interactive querying for online documentation and electronic books
- An Exploration in the Design Space of Three Dimensional Hierarchies
- From icons to interface models: designing hypermedia from the bottom up
- Optimal Design of Binary Phase-Only Filters Using Genetic Algorithms
- Virtual reality for palmtop computers
- RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
- Intelligent Database Tools & Applications: Hyperinformation Access, Data Quality, Visualization, Automatic Discovery
- Hypertext in context
- Cooperative human-machine reasoning: Communication through the user interface
- Toward a Better Understanding of Mixing in Genetic Algorithms
- Hypermedia: design for browsing
- A high level approach to the interpretation of motion in dynamic scenes
- Accounting for Noise in the Sizing of Populations* *Portions of this paper are excerpted from a paper by the authors entitled “Genetic Algorithms, Noise, and the Sizing of Populations” (Goldberg, Deb, & Clark, 1991).
- Adaptive function allocation by intelligent interfaces
- Analyzing Deception in Trap Functions
- Browsing through querying
- Multimodal Deceptive Functions.
- Queries-R-Links
- Special Issue on Genetic Algorithms. Toward a Better Understanding of Mixing in Genetic Algorithms.
1992 5
- Out of Site, Still in Mind? A Case Study in Video Mediated Communication
- Numerical accuracy in the integration of cable dynamics equations
- Components of the visual computer: A review of relevant technologies
- Massive Multimodality, Deception, and Genetic Algorithms.
- Ordering Genetic Algorithms and Deception.
1991 12
- Optimal design of a welded beam via genetic algorithms
- Virtual reality and telepresence: visual worlds from non-visual sensors
- The Missing Link? Comparison of Manual and Automated Linking in Hypertext Engineering
- Binary and floating-point function optimization using messy genetic algorithms
- Instructional resources for research and writing: The Jefferson Notebook
- Wimps and nerds
- A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
- A Model for Information Exploration
- Complex Systems: Errata and Changes Volumes 3 and 4.
- Don't Worry, Be Messy.
- Genetic algorithms, noise, and the sizing of populations
- The HEFTI Model of Text to Hypertext Conversion
1990 7
- Predicting the Effects of Stress on Performance
- Evaluation of high order single-step integrators for structural response calculation
- An investigation of messy genetic algorithms
- Optimal Design of a Class of Welded Structures via Genetic Algorithms
- A taxonomy of user interface terminology
- Intelligent databases
- Messy genetic algorithms revisited: studies in mixed size and scale
1989 and earlier 41
- Experimental Evaluations of a Model of Mental Workload
- Inertial properties of tapered cylinders and partial volumes of revolution
- Knowledge-based search tactics for an intelligent intermediary system
- An Investigation of Niche and Species Formation in Genetic Function Optimization
- Intelligent Interfaces: Theory, Research and Design
- A Manifesto for Hypermedia Usability Research
- Designing an information retrieval interface based on children's categorization of knowledge: A pilot study.
- Messy genetic algorithms: motivation, analysis, and first results
- Authoring Hypermedia for Computer Based Instruction
- Browsing Models for Hypermedia Databases
- Development of a User Model Evaluation Technique for Hypermedia Based Interfaces
- Mental Models: A Fifth Paradigm?
- Strategic Issues in Knowledge Engineering
- Mental workload dynamics in adaptive interface design
- Intelligent Interface Design
- Project Jefferson: Integrating Research and Instruction.
- Three neural models which process temporal information
- Intelligent warning systems for instrument landings
- Cognitive Processes during Instrument Landing
- Bibliographic information retrieval systems: increasing cognitive compatibility*
- Unidimensional scaling with efficient ranking methods.
- 8. Adaptive Control in Human-Machine Systems
- Computer Interfaces for the Humanities.
- Integration of the Cognitive and Physical Aspects of the Human-Machine Interface
- The principles of caveat vendor, caveat emptor and caveat operator in robotic safety
- Knowledge-based load leveling and task allocation in human-machine systems
- Comparison of Mental Workload and Available Capacity in Complex Person-Machine Systems
- Modular synthesis of deadlock-free control structures
- A framework for artificial intelligence applications software development
- Cognitive Engineering Issues in the Design of a Knowledge-Based Information Retrieval System
- Same-different judgments under high speed stress: Missing-feature principle predominates in early processing
- EP-X: A Knowledge-Based System to Aid in Searches of the Environmental Pollution Literature.
- Further evidence for priming in perceptual matching: Temporal, not spatial, separation enhances the fast-same effect
- The classification of patients into diagnostic groups using cluster analysis
- Exploratory Cluster Analysis of Attitude Structure in the New Zealand Electorate
- Practical Problems Associated with the Use of Cluster Analysis
- Cognitive mechanisms of categorisation.
- Report of the Committee on the Status of Women, American Astronomical Society.
- Composition and Energy Spectra of Heavy Nuclei of Unknown Origin Detected on Sky-lab
- Literature Review : AXISYMMETRIC VIBRATION OF A FREE FINITE-LENGTH ROD Hutchinson, J. R. J. Acoust. Soc. Amer. 51(1), 233-240 (Jan. 1972) 7 refs Refer to Abstract No. 72-627
- Meteorological observations and results at the United States Naval Observatory 1889
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