Publications
Papers and articles by IC2 members and collaborators. Search by title, author or topic, or jump to a year. Older work is in the archive; the magnifier at the top of the page searches everything.
Browse an author's full list on Google Scholar
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
2026 138
- AI-Based Prediction of Surfactant Need in Preterm Babies Using Clinical Data and Lung Ultrasound
- Supporting code for: Programmable functional RNA design with a virtual scientist
- Ischemic Stroke Detection, Segmentation, and Volume Estimation using Multi-sequence MRI Data with Missing Sequences
- Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
- XTREAM project, WP2: re-assembled and re-annotated MAGs data
- Benchmark validity in graph neural network scoring of metabolic reaction activity on Recon3D: detecting label leakage, memorized noise and input-invariant models
- Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
- Pareto-Set distribution transfer for evolutionary Bayesian optimization
- Seroprevalence of Burkholderia pseudomallei among international travelers
- Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis
- A Machine-based Decision-maker Toward Benchmarking Interactive Multi-criterion Decision-making Procedures
- Does school-based AI education narrow readiness gaps? The role of prior agency-related learning
- Interpretable and fair generalized additive neural networks via multi-objective learning
- Sertraline and Carfilzomib Synergize to Target T-cell Malignancies with Serine/Glycine synthesis activity via Cholesterol Dysregulation, Cellular Stress and Immune Modulation
- Artificial intelligence for brain cancer management: multimodal digital workflows for diagnosis, treatment planning, and longitudinal monitoring
- Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs
- From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented Generation Agents Development
- Hyperbolic Learning for Structured Data, Knowledge, and Memory: A Tutorial
- Incorporating 3D Structural Information for Activity Cliff Analysis
- LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
- Ready to Sim? Inverse Parametric Building Modeling via Universal Anchor Representation for Urban Simulation
- AIRBDS: Assessing AI readiness in bioscience datasets
- Fine-Tuning Large Language Models for Automated English Speaking Proficiency Assessment Using Multimodal Linguistic and Prosodic Features
- Towards equitable AI for women’s health: accessible data as a catalyst for innovation
- Predictive modelling of CHO cell culture using enzyme-constrained genome-scale metabolic models coupled with empirical regression
- Iteration-wise intermediate points saved in an archive as outcome of an optimization algorithm considered unreliable
- A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge
- A Surrogate-Assisted Evolutionary Algorithm with Innovized Progress Operator for Expensive Many-Objective Optimization
- Advances in Multi-Objective Optimization and Decision-Making
- Directly Targeting Convex Pareto Solutions
- Ensemble Surrogate-Assisted Optimization with Dynamic Dimensional Splitting for High-Dimensional Expensive Mixed-Variable Problems
- GNBG-III: A Property-Aware Benchmark Suite for Diagnosing Continuous Black-Box Optimizers
- pMachine-DM: A Stochastic Machine Learning-Based Decision-Maker for Interactive Multi-Criterion Decision-Making
- QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration
- Regularity-Driven Multi-objective Neural Architecture Search
- Rethinking Evolutionary Optimization: Paying Attention to Intermediate Transitional Solutions for Certain Problems
- Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker
- Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness
- To Balance Competitive Games Using a Multi-objective Coevolutionary Approach
- Following natural evolution closely in devising evolutionary algorithms for certain challenging problems
- FLEL: Federated Ensemble Learning via Distillation under Model Heterogeneity
- Understanding metaverse use in educational settings: evidence from students and teachers
- Using Mixed Machine Learning Approaches for Tree-Based Classification Models of Poverty Indicator Data
- Angione-Lab/Shape2Force: Shape2Force v1.0.0
- A comparison of local LLMs in paragraph decomposition context
- A Parameter-Efficient Cascaded Framework for Mosquito Species Identification using MFCC Features
- A Structured Prompt Design Algorithm for Contextual Health Data Extraction in Elderly Virtual Companion Systems
- Adapting Vision Transformer Models for Thai Cat Breed Classification via Dataset Augmentation and Class Cardinality Reduction
- Analyzing ESG Cluster Characteristics of Thai Equity Market Sectors using Unsupervised Machine Learning
- Backbone Selection for Packaging Defect Classification: A Controlled Study of Accuracy, Robustness, and Computational Efficiency
- Cross-Modal Emotion Discrepancy Detection: Detecting When Voice Reveals Emotions That Text Conceals
- Digital Transformation Maturity Model for Higher Education Institutions: A Qualitative Analysis of Assessment Frameworks
- Feature Selection for HMM Regime Detection: An Empirical Characterisation of Volatility and Trend Features in Equity Markets
- Lumina: Seasonal Color Analysis System with Explainable Machine Learning
- Monitoring Irrigated Wheat in Afghanistan: Systematic Literature Review
- Prompt Compression for Diffusion Large Language Models: An Empirical Evaluation of LLMLingua-2 and LLaDA
- Smart Shopping: Design of an Automated Cart System using EM-18 RFID Reader Module
- Transfer Learning for Constellation Recognition: A Comparative Study of Lightweight CNNs on Small-Scale Astronomical Image Data
- Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions
- Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
- Combining Subjective Perceptions and Objective Behavioral Metrics With the Elderly Digital Twin System: Quantitative Usability Study
- Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
- CRISPR-based environmental detection of Burkholderia pseudomallei identifies sanitation gaps and melioidosis risk in northeast Thailand
- Comparative analysis of CNN-based approaches for flower classification
- From disengaged to self-determined: A latent transition analysis of students’ AI learning motivation
- Knowledge preservation in the era of big science and AI: strategies for sustainable scientific research
- Alternative Monitoring System for Wolffia Globosa Cultivation Using IoT and Image-Based Diagnostics
- Comparative Analysis of Deep Learning Architectures for Multi-Label Classification of Wolffia Globosa Conditions in Mobile Smart Farming
- Knowledge-Assisted Deep Learning for Digital Health: Framework, Case Studies, and Future Opportunities
- Population versus point-based optimization algorithms for hierarchical convergence to multiple solutions
- MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
- Towards equitable AI for women's health: accessible data as a catalyst for innovation
- Moving Contexts: How Culture, Context, and Movement Histories Shape Whole-Body Interaction in Aesthetic Environments
- Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer
- Learning to Generate Preferences for Multiobjective Deep Learning
- MRC Biomedical Data Science Leadership Awards Brochure
- A community reconstruction of Chinese hamster metabolism and structural systems biology elucidate metabolic rewiring in lactate-free CHO cells
- Disclosure Matters: How Self-Disclosure Statements in Song Signing Videos Shape d/Deaf Audiences’ Acceptance of Culturally Sensitive Content
- IEEE Fellows - Class of 2026 [Society Briefs]
- Experimental Setup for the CEC 2026 Competition on Multimodal Multiobjective Optimization
- Generative Archetype-Grounded Item Representations for Sequential Recommendation
- Genetic programming with advanced diverse partner selection for dynamic scheduling
- TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents
- Key elements in student AI literacy development: Insights from psychometric network analyses
- Multimodal transcriptomic, epigenomic and fluxomic data for single cells in direct reprogramming
- Dataset Traccion Forces
- Evaluation of Hydroalcoholic Extract of Leaves of Buddleja asiatica for its Abortifacient Activity on Poecilia sphenops
- Dynamic-Aware video distillation: Adaptive temporal partitioning based on video semantics for edge device
- Aligning the design of voice assistants with older adults’ learning preferences and needs in health-related contexts
- Accession codes for 3,341 Burkholderia pseudomallei global population
- Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
- Bioprocess optimisation via joint machine learning and metabolic modelling
- COST action CA22103 Net4Brain: Pan-European network advancing translational research in brain cancer
- Longitudinal relationships between student ethical considerations, behavioral intention, and perceived knowledge in artificial intelligence education
- Explainable counterfactual reasoning in depression medication selection at multi-levels (personalized and population)
- A novel framework for generating tunable and scalable benchmark problems for multimodal multiobjective optimization
- Scalability via Sparsity in Stackelberg Security Games: An Augmented Decision Space Approach
- Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
- Bridging modalities with AI: a review of AI advances in multimodal biomedical imaging
- Stack-AttenLSTM: A surrogate deep learning model for sequential earthquake-flood structural response assessment of steel buildings
- Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol
- A 28-year evolution experiment on Burkholderia pseudomallei survival in nutrient-depleted sterile water
- Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
- Allies Teach Better Than Enemies: Inverse Adversaries for Robust Knowledge Distillation
- Prescribed-Time Consensus Tracking of Multiagent Systems Under Denial-of-Service Attacks With Application to Unmanned Vehicles
- A KDTree Assisted Bounded Nested List Structure (BNLS-KD) for Online Non-dominated Sorting
- Evolutionary Content Generation via Multimodal LLM-Based Fitness Evaluation
- Out-of-Distribution Generalization for Neural Physics Solvers
- Voice-Powered Assembly: Boosting Self-Efficacy in Older Adults with “Build2Race”
- Predicting Motion Sickness Caused by Mismatched VR Visual Motion and Physical Rotation Using Resting-State EEG and EEGPT
- Longitudinal Wearable Physiological Dataset of Elderly Individuals
- Extracting Multi-Destination Tourism Flows Using LLM-Driven Process Mining: A Case Study of Structural Shifts in Thai Domestic Travel via Social Media Group Before-, During-, and After COVID-19
- Identifying Risk Regimes in Thai Equities Using Rolling-Correlation Features and Unsupervised Learning
- Power-Law Attention Module: An Adaptive Non-Linear Approach to Feature Map Refinement
- Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
- Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations
- ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning
- A Fast Dominance Move Calculation Using Mixed-Integer Programming for Many-objective Optimization
- A latent factor framework to organize regulatory and metabolic programs inferred from scRNA-seq
- A Review on Bilevel Optimization Using Evolutionary Algorithms and Machine Learning Approaches
- Accelerating Two-Stage Stochastic Programming via Parametric Multitask Optimization for Microfactory-Enabled Last-Mile Manufacturing
- Distributed Prescribed-Time Optimization for Multi-Agent Systems Over Switching Networks
- Emerging Techniques for Evolutionary Single- and Multi-objective Optimization with Application to Humanoid Robot Gait Generation
- Evolutionary Multi and Many-Objective Optimization: Enhancements Using Machine Learning
- Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
- Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
- EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
- ExTrEMO-D: Diffusion Transfer for Expensive Multi-Objective Optimization
- Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain
- From Natural Language to Optimization Models: A Survey of LLM-based Autoformulation
- Iteration-wise Intermediate Points Saved in an Archive as Outcome of an OptimizationAlgorithm Considered Unreliable
- MAB-PGC: Multiagent Mutual Awareness Belief via Progressive Graph Construction
- Parallel Genetic Algorithm with Mutual Information and Parent Set Structure for Bayesian Network Structure Learning
- Predictive modeling of CHO cell culture using enzyme-constrained genome-scale metabolic models coupled with empirical regression
- SDNAS: Neural Architecture Search for Self-Supervised Single-Image Denoising Using Genetic Algorithm with Modular Encoding
- The Dark Side of ChatGPT Usage and Its Impact on Students: An Empirical Evidence
- TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
- Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems
2025 269
- Handling of objectives and constraints with heterogeneous evaluation times for surrogate-assisted evolutionary multi- and many-objective optimization
- Towards Practical Automatic Piano Reduction using BERT with Semi-supervised Learning
- Data Augmentation Pipeline for Text Recognition of Laser-Etched Serial Number Images
- An Epistemic Network Analysis (ENA) of Secondary School Students’ Metacognition in Learning Generative AI
- Epistemic network analysis of in-service teachers’ competency to teach artificial intelligence for secondary education
- ADRA-Bank: A Modular Benchmark for Academic Deep Research Agents
- Exploring the User Experience and Cognitive Absorption with Conversational Agents: The Effects of Conversational Norms in Human-AI Interactions Through a Mixed-Methods Study
- MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models
- Deep Learning for Diagnosis of Tinea Corporis and Tinea Cruris
- A modified α-synuclein seed amplification assay in Lewy body dementia using Raman spectroscopy and machine learning analysis
- ConSurv: Multimodal Continual Learning for Survival Analysis
- MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
- Generative AI as a Tool for Thai Startups: A Conceptual Framework Through Qualitative Study
- Validating Warehouse Picking Strategies Using Simulation: Case Study of a Plumbing Equipment Firm
- NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
- Artificial Intelligience for Education: A Signal Processing Perspective: Part I: From Active Learning to Mitigating Gender Bias [From The Guest Editors]
- Clonal dissemination of drug-resistant Acinetobacter baumannii in Thailand: insights from nationwide molecular typing
- Metformin use is associated with lower mortality from bacterial sepsis and improved immunocompetence in Thai diabetes patients with acute melioidosis
- Stories by the campfire: use of generative A.I. voice assistants to support older adult reminiscence self-efficacy
- The development of carbon-neutral data centres in space
- Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation
- Self-attention driven transfer learnt deep neural network for improved lung cancer detection from radiographic images
- Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
- Benchmarking Transformers and Baselines for Multi-Horizon Stock Return Prediction with Technical and Earnings Features
- An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
- Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
- Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection
- Make Me Happier: Evoking Emotions through Image Diffusion Models
- Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
- From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities
- HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
- NK-A 17E-233I: a novel competitive inhibitor of human dihydroorotate dehydrogenase (DHODH) for cancer therapy
- Artificial Intelligence in Gynaecology Oncology
- LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking
- Enhancing Elderly Well-Being Through AI-Based Virtual Companion Systems: A Cooperative Approach
- RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
- Evolutionary Computation as Natural Generative AI
- Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
- Predicting drug responses of unseen cell types through transfer learning with foundation models
- MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
- A continuous encoding-based representation for efficient multi-fidelity multi-objective neural architecture search
- A cooperative co-evolutionary algorithm with core-based grouping strategy for large-scale 0–1 knapsack problems
- Introducing Academia AI and Applications: a new platform for responsible and interdisciplinary AI research
- Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
- Does Changing the Game Metaphor Change the Assessment?
- Improved decisions for unknown behaviours in interactive dynamic influence diagrams
- Comparing and Contrasting N-Back and Self-Directed Memory Selection, as Measures of Working Memory
- Do Cognitive Speed and Executive Functions Follow the Expected Age Trajectory for Fluid Intelligence?
- “Do What I Say”: Designing a Voice Assistant to Help Train Older Adults in Product Assembly
- Applying human factors to design adaptive healthcare environments in face of catastrophic climate events in Canadian hospital environments
- TurnGuide: Enhancing Meaningful Full Duplex Spoken Interactions via Dynamic Turn-Level Text-Speech Interleaving
- Case Report: Genetic evolution of Burkholderia pseudomallei during treatment leading to antibiotic resistance and disease relapse.
- Identifying Secondary School Students' Patterns in Prompting Generative Artificial Intelligence in Ai Education
- (θₗ, θᵤ)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
- 3d-moe: A mixture-of-experts multi-modal llm for 3d vision and pose diffusion via rectified flow
- A community-consensus reconstruction of Chinese Hamster metabolism enables structural systems biology analyses to decipher metabolic rewiring in lactate-free CHO cells
- A Comparative Study of Pareto Front of Optimal Solution Set for NAO Robot's
- A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems
- A Feature Engineering Approach to Improve Clustering-Based Persona Generation
- A federated learning approach for classifying chest diseases from chest X-ray images
- A federated learning approach for classifying chest diseases from chest X-ray images (vol 100, 107107, 2025)
- A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS
- A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi-and Many-Objective Optimization: First Results
- A Multi-objective Competitive Co-evolutionary Framework with Progressive Shrinking for Wargame Scenarios
- A novel approach to navigate the taxonomic hierarchy to address the Open-World Scenarios in Medicinal Plant Classification
- A phenomenographic approach to students’ conceptions of learning artificial intelligence (AI) in secondary schools
- A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
- A survey of personalized large language models: Progress and future directions
- A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
- A Transformer network calibrated with fuzzy logic for phishing URL detection
- Active large language model-based knowledge distillation for session-based recommendation
- Adaptive Attention-Guided Masking in Vision Transformers for Self-Supervised Hyperspectral Feature Learning
- Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results
- AEFA-FDB: A score-based artificial electric field algorithm for optimal reactive power dispatch problem with renewable and load demand uncertainties
- AI-augmented Thinking: Exploring Human-AI Interaction in Generative AI-supported Programming Learning
- AI-Based Prioritization of Indicators of Intelligence in a Threat Intelligence Sharing Platform
- Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis
- An active learning framework for adversarial training of deep neural networks
- An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems
- An Efficient Method of Lifelong Learning with Differentiable Memory for Edge Computing
- Assessment of fluoride bio-accessibility in early childhood diets
- Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability
- Automated ICD-9 and ICD-10 Coding with Machine Learning: A Real-World Study Using Electronic Medical Record Text from Udon Thani Cancer Hospital, Thailand
- Automating Persona Generation: Leveraging ChatGPT-4 in Educational Digital Services
- Band selection for hyperspectral image classification using DBSCAN-informed spectral attention network
- BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
- Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification
- Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization
- BRAIN COMMUNICATIONS
- Building Digital Twins for Elderly Care: An End-to-End Framework from Data Acquisition to Modeling
- Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
- cfDecon: Accurate and Interpretable methylation-based cell type deconvolution for cell-free DNA
- CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
- Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models
- Cold-start recommendation towards the era of large language models (llms): A comprehensive survey and roadmap
- Comparative evaluation of deep learning techniques for multistage Alzheimer's prediction from magnetic resonance images
- Computational Intelligence Methods for Bioinformatics and Biostatistics: 19th International Meeting, CIBB 2024, Benevento, Italy, September 4–6, 2024, Revised Selected Papers
- Context-Adaptive Graph Neural Networks for Next POI Recommendation
- Context-aware inductive knowledge graph completion with latent type constraints and subgraph reasoning
- Context-aware masking and learnable diffusion-guided patch refinement in transformers via sparse supervision for hyperspectral image classification
- Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions
- Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO
- Cooperative Multiagent Learning and Exploration With Min–Max Intrinsic Motivation
- Corrigendum to “A federated learning approach for classifying chest diseases from chest X-ray images”[Biomed. Signal Process. Control 100 (Part A)(2025) 107107](Biomedical …
- Corrigendum to''Surrogate models for seismic and pushover response prediction of steel special moment resisting frames''[Eng. Struct., 314 (2024) 118307]
- Cross-instance Contrastive Masking in Vision Transformers for Self-supervised Hyperspectral Image Classification
- Cryptographic Key Application for Biometric Implementation in Automobiles
- CyberEDU: An Interactive Educational Tool for DDoS Attack Simulation and Prevention
- Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
- Decoding Market Dynamics: Variational Quantum Circuit in Stock Prediction
- Deep graph anomaly detection: A survey and new perspectives
- Deep Learning for Graph Anomaly Detection
- Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
- Developing a scale for measuring the information security awareness of stakeholders in higher education institutions
- Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems
- Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach
- Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
- Diversifying Robot Locomotion Behaviors with Extrinsic Behavioral Curiosity
- DT-GA-FLANN: Decision Tree based Genetically Optimized FLANN for Missing Value Imputation and Classification
- Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robot
- Effects of many conflicting objectives on decision-makers’ cognitive burden and decision consistency
- Efficient identity and position graph embedding via spectral-based random feature aggregation
- Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation
- Enhancing deep learning for demand forecasting to address large data gaps
- Evolutionary Optimization of Physics-Informed Neural Networks: Survey and Prospects
- Evolvable Conditional Diffusion
- EvoSort: A Genetic-Algorithm-Based Adaptive Parallel Sorting Framework for Large-Scale High Performance Computing
- Exploring Undergraduate Students' Computational Thinking Skills Across Engineering Design Processes
- Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
- Fast, sensitive detection of protein homologs using deep dense retrieval
- FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency
- Federated Learning in the Age of Foundation Models-FL 2024 International Workshops: FL@ FM-WWW 2024, Singapore, May 14, 2024; FL@ FM-ICME 2024, Niagara Falls, ON, Canada, July …
- Fifty years of multi-objective optimization and decision-making: From mathematical programming to evolutionary computation
- Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization
- FL@ FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025
- From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
- From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
- G-refer: Graph retrieval-augmented large language model for explainable recommendation
- Geometric-Harmonic Mean based Late Fusion Ensemble for Improved Weather Image Classification
- Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation Path
- Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities
- Handling objective preference and variable uncertainty in evolutionary multi-objective optimization
- Handling objectives with heterogeneous evaluation times in surrogate-assisted evolutionary multi-objective optimization
- Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms
- Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
- Hybmsearch: A Fast Multi-Level Search Algorithm Delivering Order-of-Magnitude Speedups on Multi-Billion Datasets
- Hybrid machine learning model for code classification
- HyperGenie: A method for predicting enzymatic gene essentiality using hypergraph neural networks and genome-scale metabolic models
- Hyperspectral Image Classification using Patch-based Attention and Restricted Isometric Regularization
- Identifier spaces for representing Pareto-optimal solutions in multi-objective optimization and decision-making
- Implicit Reasoning in Large Language Models: A Comprehensive Survey
- Improving myocardial infarction diagnosis with Siamese network-based ECG analysis
- Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
- Integrating Sensor Data with Large Language Models for Enhanced Elderly Care: A Methodological Framework
- Introducing CASUX: A standardized scale for measuring the user experience of artificial intelligence based conversational agents
- Journal of Resilient Cities and …
- KRAFT³-QA: Korean financial text-table benchmark for evaluating tool-augmented agents on QA tasks
- Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
- Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
- Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
- Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model
- LIST: learning to index spatio-textual data for embedding based spatial keyword queries
- Llm-driven instance-specific heuristic generation and selection
- LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs
- Looks great, functions better: Physics compliance text-to-3D shape generation
- Machine Learning Assisted Evolutionary Multi-objective Optimization
- Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization
- Machine Learning-Driven Preventive Maintenance for Fibreboard Production in Industry 4.0
- MaNSGA-II: Many-Objective NSGA-II
- Many-objective robust gait optimization for a 25-DOFs NAO robot using NSGA-III
- Mari: Automating Responses to Thai Legal Debt Queries Using Generative AI and Retrieval-Augmented Generation
- MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
- Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
- Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation
- MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
- Metaverse-based education for sustainable development and improving the performance: Discussing the future research agenda
- MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection
- Mitigating DDoS Attacks: Empowering Network Infrastructure Resilience with AI and ML
- Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
- Model-agnostic social network refinement with diffusion models for robust social recommendation
- Molecular insights into α-synuclein fibrillation: A Raman spectroscopy and machine learning approach
- Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation
- Multi-Objective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for two-Agent Wargame Strategy Optimization
- Neural Collapse Strikes Back: Lightweight Transfer of Large Vision Model for Cross-Scene Spectral Generalization
- Next-generation techniques for parameter reduction for BMP multiobjective optimization in watershed planning
- NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
- Numerical Global Optimization Competition on GNBG-II generated Test Suite
- On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem
- Optimizing classifier performance using PCA-FLANN: a fast and reliable approach
- Optimizing Hyperspectral Image Classification: Biogeography-Based Band Selection and CNN Analysis
- Pareto Set Learning through Genetic Programming for Multi-Objective Dynamic Scheduling
- Parrot: Seamless spoken dialogue interaction with double-channel large language models
- Physics-informed neuro-evolution (PINE): a survey and prospects
- Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
- Position: Beyond Euclidean--Foundation Models Should Embrace Non-Euclidean Geometries
- Position: Llms can be good tutors in foreign language education
- Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy Optimization
- Quality Diversity Genetic Programming for Learning Scheduling Heuristics
- Ranking-prediction based evolutionary algorithm for expensive many-objective optimization problems
- Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization
- Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization
- Reliability-Based MCDM Using Objective Preferences Under Variable Uncertainty
- RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging
- Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation
- Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
- Sandbox: safeguarded multi-label learning through safe optimal transport
- Scalable Cold-Start Optimization in Serverless Computing: Leveraging Function Fusion with PanOpticon Simulator
- Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
- SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
- Serial lung ultrasound in predicting the need for surfactant and respiratory course in preterm infants—multicentre observational study (SLURP)
- SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
- Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
- Spatiotemporal diversity in molecular and functional abnormalities in the mdx dystrophic brain
- Stabilizing modality gap & lowering gradient norms improve zero-shot adversarial robustness of vlms
- Surrogate models for seismic and pushover response prediction of steel special moment resisting frames (vol 314, 118307, 2024)
- Switching to metaverse? Perspectives from push–pull–mooring model
- Think Before You Talk: Enhancing Meaningful Dialogue Generation in Full-Duplex Speech Language Models with Planning-Inspired Text Guidance
- Towards an Efficient Innovation Path Seeking Algorithm Using Directed Domination
- Towards Geometry Problem Solving in the Large Model Era: A Survey
- Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
- Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
- Traffic prediction by graph transformer embedded with subgraphs
- Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
- Understanding and mitigating hyperbolic dimensional collapse in graph contrastive learning
- Unified (Semi) Unbalanced and Classic Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
- Unsupervised video anomaly detection by memory network with autoencoders in euclidean and non-euclidean spaces
- Use of real‐time respiratory function monitor improves neonatal face mask ventilation: Cross‐over simulation study
- Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
- Voxeval: Benchmarking the knowledge understanding capabilities of end-to-end spoken language models
- VR Cybersickness Classification using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network
- WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback
- What, how, where, and how well? a survey on test-time scaling in large language models
- FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation
- Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data
- Case Report: Genetic evolution of Burkholderia pseudomallei during treatment leading to antibiotic resistance and disease relapse – a case report.
- Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
- Sustainable Usage of Algal Biomass for Food Processing and Nutraceuticals Production
- Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
- Using interpretable survival analysis to assess hospital length of stay
- Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey (Extended Abstract)
- Pareto Set Learning Through Genetic Programming for Multiobjective Dynamic Scheduling
- Application of Deep Learning Techniques for Predicting Leaf Lesions in KDML105 Rice Variety
- Multiobjective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for Two-Agent Wargame Strategy Optimization
- Contrastive learning of prototypical network for detecting phishing URL
- IEEE Fellows - Class of 2025 [Society Briefs]
- Handling Objectives With Heterogeneous Evaluation Times in Surrogate-Assisted Evolutionary Multiobjective Optimization
- Are Virtual Forests Just for Relaxation, or Can They Enhance the Benefits of Therapy?
- PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
- 109.02 Sum of integers formula – another visual demonstration
- Encrypted Large Model Inference: The Equivariant Encryption Paradigm
- Overcoming research challenges in resource-limited settings: perspectives from Thailand
- Genetic variation of hemolysin co-regulated protein 1 affects the immunogenicity and pathogenicity of Burkholderia pseudomallei
- A Competitive Game-Based Learning Approach to Facilitate Students’ Engagement in AI Learning
- A Hybrid Method for Optimising Energy Efficiency and CO2 Reduction Using Data-Driven and Physics-Based Scenario Analysis
- An Innovative Divide and Conquer Approach for Many-Objective Optimization: Inducing Artificial Correlations and Enhancing MOEA Performance
- CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
- Contrastive Generative Learning for Enhanced Multiagent Decision-Making under Uncertainty
- Conversational Agents User Experience Scale
- Enhancing Secondary School AI Education Through Online Learning Platforms: A Study on Teachers’ Perspectives in Hong Kong
- Evolutionary Heterogeneous Multitasking for Quality Diversity Optimization
- From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models
- Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management
- Optimal Transport-Based Distributional Pairing in Transfer Multiobjective Optimization
- Position: LLMs Can be Good Tutors in English Education
- Reliance Behaviors Scale
- Stack-AttenLSTM: A Surrogate Deep Learning Model for Sequential Earthquake-Flood Vulnerability Assessment of Steel Buildings
- Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges
- Uncertainty-Aware Adversarial Training via Adversary Distribution Modeling for Improving Robustness
2024 282
- Land Use and Land Cover Change Analysis Using GIS and Remote Sensing: A Case Study of Sutlej Watershed, Punjab
- PCR81 Effectiveness of Peer-Trained Community Health Worker Intervention on Obesity Management in Chinese Adults Living in Informal Houses: A 3-Months Preliminary Investigation
- Video Set Distillation: Information Diversification and Temporal Densification
- Prototype Optimization with Neural ODE for Few-Shot Learning
- A Swarm Optimised Deep Learning Model for Financial Time Series Forecasting
- Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
- Genetic variation, structural analysis, and virulence implications of BimA and BimC in clinical isolates of Burkholderia pseudomallei in Thailand
- Assess and Guide: Multi-modal Fake News Detection via Decision Uncertainty
- Integrating Genomic Data with the Development of CRISPR-Based Point-of-Care-Testing for Bacterial Infections
- HoleyMoley: A Cognitive Assessment for Emotion Recognition in Virtual Reality
- Functional Food and Food Innovation Toward Quality and Safety Regulations
- Demand-driven capacity building for public health nutrition research in Lao PDR
- Development and Evaluation of Preparations Based on Ethanol Extract of Chrysopogon zizanioides, Asteracantha longifolia, Asparagus racemosus, Tinospora cordifolia
- Promoting Physical Activity With Augmented Reality Experiences
- Study of Urinary Electrolytes and Fractional Excretion of Uric Acid in Evaluating Hyponatremia
- The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
- Technology Development with Zero Tillage and Stubble Residue Management for Sustainable Soil Health and System Productivity in Wheat-maize Cropping Pattern
- Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following
- Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
- Towards Secure and Private AI: A Framework for Decentralized Inference
- Genetic diversity, determinants, and dissemination of Burkholderia pseudomallei lineages implicated in melioidosis in Northeast Thailand
- 2 Multi-objective
- A diffusion-based pre-training framework for crystal property prediction
- A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem
- A Framework for Synthetic Audio Conversations Generation Using Large Language Models
- A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images
- A Multi-Objective Unit Commitment Approach Using Genetic Algorithms
- A Novel Feature Selection Method for Regression and its Application for Prediction of Forest Fire
- A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
- A parameter free relative density based biclustering method for identifying non-linear feature relations
- A pilot study on the development and validation of AI literacy test items for grade 7 to grade 9 students
- A review of subjective scales measuring the user experience of voice assistants
- A Simple Yet Effective Approach for Diversified Session-Based Recommendation
- A survey of text watermarking in the era of large language models
- A survey of trustworthy federated learning: Issues, solutions, and challenges
- A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
- A survey on vision-language-action models for embodied ai
- A systematic review of major evaluation metrics for simulator-based automatic assessment of driving after stroke
- A systematic survey on federated semi-supervised learning
- Ablation of the dystrophin Dp71f alternative C-terminal variant increases sarcoma tumour cell aggressiveness
- Accurate RNA 3D structure prediction using a language model-based deep learning approach
- Active Learning using Divergence-Based Sampling in Ensemble Framework of Convolutional Neural Networks
- Actra: Optimized transformer architecture for vision-language-action models in robot learning
- Adaptive in-context learning with large language models for bundle generation
- Advancements in Deep Learning for Disease Detection: A Comprehensive Survey on T-Fusion Net and Spatial Attention in Infectious Disease Imaging
- Advancing COVID-19 poverty estimation with satellite imagery-based deep learning techniques: a systematic review
- Adversarially robust distillation by reducing the student-teacher variance gap
- Adversarially robust few-shot learning via parameter co-distillation of similarity and class concept learners
- Age-Unbiased Facial Emotion Recognition with Regularizing Self-Attention Value Vector
- An entropy-based text watermarking detection method
- An evolutionary functional link artificial neural network for assessment of compressive strength of concrete structures
- An updated performance metric for preference-based evolutionary multi-objective optimization algorithms
- Analysis and optimization of gait cycle of 25-dof NAO robot using particle swarm optimization and genetic algorithms
- Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance
- Application of Hippopotamus Optimization Algorithm for the Routing Problem in Drinking Water Factory
- Attacker-defender strategy optimization using multi-objective competitive co-evolution
- Automated Detection of Plant Diseases Utilizing Convolutional Neural Networks
- Bayesian forward-inverse transfer for multiobjective optimization
- Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
- Benchmarking data heterogeneity evaluation approaches for personalized federated learning
- Brainnetdiff: Generative ai empowers brain network construction via multimodal diffusion
- Bridging the gap between theory and practice: Benchmarking transfer evolutionary optimization
- Chance-constrained multiple-choice knapsack problem: Model, algorithms, and applications
- Checking Dominance Relation on Hardware Towards a Faster Multi-objective Optimization
- Client-specific hyperbolic federated learning
- Clongeval: A chinese benchmark for evaluating long-context large language models
- Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning
- Conclusion and Future Research Directions
- Conference Report on 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024)[Conference Reports]
- Contrastive learning of multivariate Gaussian distributions of incremental classes for continual learning
- Covariance-adaptive sequential black-box optimization for diffusion targeted generation
- Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients
- Data Augmentation Techniques for Chinese Disease Name Normalization
- Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models
- Deep generative design of RNA aptamers using structural predictions
- Deep structural knowledge exploitation and synergy for estimating node importance value on heterogeneous information networks
- Detecting and quantifying crowd-level abnormal behaviors in crowd events
- Developing and validating measures for AI literacy tests: From self-reported to objective measures
- Diesel Price Prediction Models with Traditional Time-Series Algorithms and Neural Networks
- Differentiable clustering for graph attention
- Differentiable Prototypes with Distributed Memory Network for Continual Learning
- Differential privacy in deep learning: A literature survey
- Diffusion model in normal gathering latent space for time series anomaly detection
- Disentangled prototypical convolutional network for few-shot learning in in-vehicle noise classification
- Divdiff: A conditional diffusion model for diverse human motion prediction
- Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space
- Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
- Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment
- DuCoMo: Dual Counters in Model-Based Offline Reinforcement Learning
- Ease: Learning lightweight semantic feature adapters from large language models for ctr prediction
- Efficient feature selection techniques for accurate cancer analysis using krill heard optimization
- Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps
- Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting
- Emerging methods for genome-scale metabolic modeling of microbial communities
- Enhanced Multi-Class Weather Image Classification using Data Augmentation and Dynamic Learning on Pre-trained Deep Neural Net
- Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
- Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization
- Enhancing building sustainability: A comprehensive review and methodological roadmap for retrofit strategies
- Enhancing Early Lung Cancer Detection using Deep Learning Techniques
- Enhancing llm complex reasoning capability through hyperbolic geometry
- Enhancing road safety and cybersecurity in traffic management systems: Leveraging the potential of reinforcement learning
- Enhancing Student Model via Knowledge Transfer with Prior-Informed Constraints from a Teacher
- Entropy-based decoding for retrieval-augmented large language models
- Estimation of compressive strength of concrete cement using random vector functional link networks: a case study
- Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
- Evolutionary Bilevel Optimization: Algorithms and Applications
- Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data
- Exploring Implicit Biological Heterogeneity in ASD Diagnosis Using a Multi-Head Attention Graph Neural Network
- Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game
- ExTrEMO: Transfer evolutionary multiobjective optimization with proof of faster convergence
- Facebook Commerce Issues in Thailand and Precautionary Benchmarks
- Fedcompetitors: Harmonious collaboration in federated learning with competing participants
- Fedcvd: The first real-world federated learning benchmark on cardiovascular disease data
- Federated learning for vehicle trajectory prediction: Methodology and benchmark study
- Fedhlt: Efficient federated low-rank adaption with hierarchical language tree for multilingual modeling
- Fedlfc: Towards efficient federated multilingual modeling with lora-based language family clustering
- Fedrlhf: A convergence-guaranteed federated framework for privacy-preserving and personalized rlhf
- Few-shot nerf by adaptive rendering loss regularization
- Finding Sets of Pareto Sets in Real-World Scenarios–A Multitask Multiobjective Perspective
- FL@ FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web
- Foundational Studies on ML-Based Enhancements
- Fourier warm start for physics-informed neural networks
- Free-rider and conflict aware collaboration formation for cross-silo federated learning
- Frnet: Frequency-based rotation network for long-term time series forecasting
- Frog analysis ensures the reproducibility of genome scale metabolic models
- Fuzzy attention-based border rendering orthogonal network for lung organ segmentation
- Generalizable and discriminative representations for adversarially robust few-shot learning
- Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks
- Generative ai-based prompt evolution engineering design optimization with vision-language model
- Generative AI: How Well Can it Understand Conversational UX?
- Genome‐Scale Metabolic Modeling of Halomonas elongata 153B Explains Polyhydroxyalkanoate and Ectoine Biosynthesis in Hypersaline Environments
- Geometric view of soft decorrelation in self-supervised learning
- GlowNet: A Lightweight Attention based Self-Guided Deep Neural Network for Low-Light Image Enhancement
- Graph linear convolution pooling for learning in incomplete high-dimensional data
- Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks
- Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence
- Guest Editorial: Special Issue on Graph Learning
- Hc-glad: Dual hyperbolic contrastive learning for unsupervised graph-level anomaly detection
- Hihpq: Hierarchical hyperbolic product quantization for unsupervised image retrieval
- Hot off the press: Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
- Human-generative AI collaborative problem solving who leads and how students perceive the interactions
- Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
- Hyperbolic fine-tuning for large language models
- Hypformer: Exploring efficient hyperbolic transformer fully in hyperbolic space
- Hypformer: Exploring efficient transformer fully in hyperbolic space
- Impact of ai on the cyber kill chain: A systematic review
- Influential exemplar replay for incremental learning in recommender systems
- Innovation path: Discovering an ordered set of optimized intermediate solutions from an existing to a desired solution
- Intention for enhancing metaverse-based learning using gamification among university students: a study using Delphi and structural equation modelling approaches
- Inverse multiobjective optimization by generative model prompting
- Investigating innovized progress operators with different ml methods
- Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
- Large language models as evolutionary optimizers
- Large language models for intent-driven session recommendations
- Large-scale multiobjective optimization for watershed planning and assessment
- Learning accurate and bidirectional transformation via dynamic embedding transportation for cross-domain recommendation
- Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
- Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage
- Learning to analyze the pareto-optimal front
- Learning to Converge Better: IP2 Operator
- Learning to Diversify Better: IP3 Operator
- Learning to Simultaneously Converge and Diversify Better: UIP Operator
- Learning to Understand the Problem Structure
- Less is more: Extreme gradient boost rank-1 adaption for efficient finetuning of llms
- Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed management
- LLM2FEA: Discover novel designs with generative evolutionary multitasking
- Low-rank adaptation for foundation models: A comprehensive review
- Machine Intelligence, Tools, and Applications: Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024
- Machine learning assisted evolutionary multi-and many-objective optimization
- Markllm: An open-source toolkit for llm watermarking
- Measuring Spoken English Proficiency Level Based on IELTS Speaking Test Using Machine Learning Models
- Measuring the End-User Experience with Voice-Assistants: from Usability to Acceptance
- MECCH: Metapath context convolution-based heterogeneous graph neural networks
- Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
- Meta databases of steel frame buildings for surrogate modelling and machine learning-based feature importance analysis
- Microbiome alterations are associated with apolipoprotein E mutation in Octodon degus and humans with Alzheimer’s disease
- Mitigating large language model hallucination with faithful finetuning
- Modeling Uncertainty by Integrating Label Smoothing and Data Perturbation: An Application to Pneumonia Detection
- Mome: Mixture of multimodal experts for cancer survival prediction
- MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
- Multi-instance attention network for anomaly detection from multivariate time series
- Multi-objective optimization of rotational magnetorheological abrasive flow finishing process
- Multi-Task Learning with Multi-Task Optimization
- Natural language interfaces for tabular data querying and visualization: A survey
- Nile: Internal consistency alignment in large language models
- On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making
- On the necessity of collaboration for online model selection with decentralized data
- Optimal design of electric machine with efficient handling of constraints and surrogate assistance
- Optimization Problems and Algorithms
- Packaging defect detection in lean manufacturing: a comparative study of yolov8, yolov9, and yolov10
- Panda: Expanded width-aware message passing beyond rewiring
- Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
- Pareto set representation learning with application to multi-criteria order optimization
- Parrot: Autoregressive spoken dialogue language modeling with decoder-only transformers
- Polarized message-passing in graph neural networks
- Precise-physics driven text-to-3d generation
- Predictive monitoring in process mining using deep learning for better consumer service
- Predictor of fluorosis: total fluoride intake or subsequent fluoride absorption
- PrefAce: face-centric pretraining with self-structure aware distillation
- Probabilistic modeling of hardware and software interactions for system reliability assessment
- Progress and opportunities of foundation models in bioinformatics
- Prompt evolutionary design optimization with generative shape and vision-language models
- Pushing Rendering Boundaries: Hard Gaussian Splatting
- Quantitative Assessment of Machine Learning Reliability and Resilience
- Recent advances in speech language models: A survey
- Recent advances of multimodal continual learning: A comprehensive survey
- Reconstructing Optical Imagery from Microwave Data: A Neural Regression-Based Framework
- Reducing item discrepancy via differentially private robust embedding alignment for privacy-preserving cross domain recommendation
- Reliability Evaluation of CNN-enabled Systems in Adversarial Scenarios
- Remembering Jeffrey Horn (1963-2024)
- Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
- Revisiting bundle recommendation for intent-aware product bundling
- Road network representation learning with the third law of geography
- Robust distillation via untargeted and targeted intermediate adversarial samples
- Rotan: A rotation-based temporal attention network for time-specific next poi recommendation
- SafeRoutes: Charting a Secure Path-A Holistic Approach to Women’s Safety through Advanced Clustering and GPS Integration
- Scalable Polynomial RegEM (a) O for Multi-lMany-objective Platform-based Design Optimization Problems
- scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics
- Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
- SeRTS: Self-rewarding tree search for biomedical retrieval-augmented generation
- Shopping trajectory representation learning with pre-training for e-commerce customer understanding and recommendation
- SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
- SmokeFCM: Segmentation of Quarry Blast Smoke Plumes using Self-Adaptive Weighted Fuzzy C-Means
- Speckle De-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images
- Speckle Noise Removal: A Local Structure Preserving Approach
- Speed up! Cost-effective large language model for ADAS via knowledge distillation
- Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering
- Stochastic Variations for Latent Data Representation (SVLDR): A Probabilistic Generative Modeling Framework
- Student Academic Performance Prediction using Machine Learning with Various Features and Scenarios
- Surrogate models for seismic and pushover response prediction of steel special moment resisting frames
- Surrogate-assisted multi-objective optimization for handling objectives with heterogeneous evaluation times: unconstrained problems
- T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations Based Spatial Attention Mechanisms for Covid-19 Detection
- Takt: Target-aware knowledge transfer for whole slide image classification
- Temporal Collage Prompting: A Cost-Effective Simulator-Based Driving Accident Video Recognition With GPT-4o
- The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
- The integration of semantic and structural knowledge in knowledge graph entity typing
- The sweet escape to metaverse: Exploring escapism, anxiety, and virtual place attachment
- Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction
- Towards a mechanism-aware multi-omics supervised learning pipeline to characterise secondary metabolite fluxes in anaerobic hosts
- Towards effective top-n hamming search via bipartite graph contrastive hashing
- Towards efficient and diverse generative model for unconditional human motion synthesis
- Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery
- Towards geometric normalization techniques in se (3) equivariant graph neural networks for physical dynamics simulations
- Towards harmless rawlsian fairness regardless of demographic prior
- Towards insider threat resilience: a proposed mitigation model
- Transfer optimization for heterogeneous drone delivery and pickup problem
- Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification
- Uhcone: Universal hyperbolic cone for implicit hierarchical learning
- Uncovering potential diagnostic and pathophysiological roles of α‐synuclein and DJ‐1 in melanoma
- Unified Denoising Training for Recommendation
- Unsupervised Band Selection for Hyperspectral Image Classification Using Mutual Information Based Clustering
- URBANSCAPE-NET: A SPATIAL AND SELF-ATTENTION GUIDED DEEP NEURAL NETWORK WITH MULTI SCALE FEATURE EXTRACTION FOR URBAN LAND-USE CLASSIFICATION
- User-Centric Design: Adjective Rating Scale for Conversational Agent Interaction
- Video Piracy Websites Detection Using Continual Learning with Elastic Weight Consolidation
- Virtual co-pilot: Multimodal large language model-enabled quick-access procedures for single pilot operations
- Waterseeker: Efficient detection of watermarked segments in large documents
- Waterseeker: Pioneering efficient detection of watermarked segments in large documents
- Where to move next: Zero-shot generalization of llms for next poi recommendation
- Finding Sets of Pareto Sets in Real-World Scenarios – A Multitask Multiobjective Perspective
- Improving Cognitive Safety in High-Risk Patients: A Cognitive Assessment-based Approach
- MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization
- AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
- A Human-AI Interaction Dashboard for Detecting Potentially Malicious Emails
- Discount Driver Mental Workload Assessment
- Impact of Cognitive Ability and Self-Pacing on Occluded Quasi-Driving Task Performance
- Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
- Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge
- Preclinical Evaluation of Paederia foetida leaves for Burn Wound Healing Activity
- Melioidosis in Patients with COVID-19 Exposed to Contaminated Tap Water, Thailand, 2021
- Benchmarking CRISPR-BP34 for point-of-care melioidosis detection in low-income and middle-income countries: a molecular diagnostics study
- Monitoring pathogens in wastewater
- Cognitive components of aging-related increase in word-finding difficulty
- An Uncertainty Estimation Model for Health Signal Prediction
- Black box medicine
- Driving Assistant Using ChatGPT Pre-Generated Messages in Simulator-Based Driving Assessment: Toward Low-Cost Driving Assessment for Stroke Patients
- Effect of Manufacturing-Induced Anisotropy on the Design of Additively Manufactured Lattice Structures
- Enhancing Efficiency in Residential Retrofitting: A Comprehensive Evaluation of Key Performance Indicators Using the Correlation Coefficient/Ahp Hybrid Model
- Microbial Analysis of Urine and Antibiotic Sensitivity Pattern of Isolated Infectious Agents from Patients Suffering in Urinary Tract Infection
- Public opinion on types of voice systems for older adults
- Seeing Think-Aloud: Tracking Driver Visual Attention with Eye Movements and Verbalization
- Uncovering potential diagnostic and pathophysiological roles of α‐synuclein and DJ ‐1 in melanoma
- Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
2023 236
- PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction
- A Generalized and Configurable Benchmark Generator for Continuous Unconstrained Numerical Optimization
- Dual-Stage OOD Detection Learning with an Unsupervised Start
- Scenario Fidelity and Perceived Driver Mental Workload: Can Workload Assessment be Crowdsourced?
- Agglomeration Rate Estimation of Mineral Oil based ZnO Nanofluids by Dielectric Spectroscopy
- BurkHostGEN: a study protocol for evaluating variations in the Burkholderia pseudomallei and host genomes associated with melioidosis infection
- Impact of rewards on cognitive game performance: Competition with peers increases enjoyment in easy, but not difficult tasks
- Designing Feasible and Effective Cognitive Assessment for Older Adults in Long-Term Care
- Lower Executive Function Ability May Lead to Higher Perceived Mental Workload in Driving Scenarios
- The Privacy Attitudes Questionnaire (PAQ) Turned 20: What’s Next for a Generalized Measure of Privacy Attitudes?
- Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection
- Developing a closed captioning quality assessment system using a multi-label classifier with active learning from deaf and hard of hearing viewers
- 1st Workshop on Federated Learning Technologies
- A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand
- A collaborative multimodal learning-based framework for COVID-19 diagnosis
- A Combination of Mutual and Neighborhood Information for Band Selection in Hyperspectral Images
- A Comparative Study of Pareto Front of Optimal Solution Set for NAO Robot’s Gait Optimization Using the Dominance Move Indicator Based on Mixed Integer Programming
- A data mining model for predicting diarrhea in Afghan children
- A Data-Driven Approach to Detect Dehydration in Afghan Children Using Deep Learning
- A Decade of MOOCs and Beyond
- A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization
- A generic reinforced explainable framework with knowledge graph for session-based recommendation
- A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons
- A hybrid evolutionary cnn-lstm model for prognostics of c-mapss aircraft dataset
- A Knee-Based Multi-objective Optimization for Gait Cycle of 25-DOF NAO Humanoid Robot
- A Machine Learning Approach to Detect Dehydration in Afghan Children
- A multi-channel next POI recommendation framework with multi-granularity check-in signals
- A multiagent cooperative learning system with evolution of social roles
- A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools
- A Relative Density Based Biclustering Method for Identifying Non-Linear Feature Relations
- A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images
- A subgraph embedded GIN with attention for graph classification
- A survey of trustworthy federated learning with perspectives on security, robustness and privacy
- A survey on graph embedding techniques for biomedical data: Methods and applications
- A systematic literature review of cybersecurity scales assessing information security awareness
- A unified innovized progress operator for performance enhancement in evolutionary multi-and many-objective optimization
- A unified view of deep learning for reaction and retrosynthesis prediction: Current status and future challenges
- A user-guided innovization-based evolutionary algorithm framework for practical multi-objective optimization problems
- Adversarial discriminator to mitigate gender bias in abusive language detection
- Alignment and outer shell isotropy for hyperbolic graph contrastive learning
- An Augmented Index-based Efficient Community Search for Large Directed Graphs
- An Edge-Based Approach to Partitioning and Overlapping Graph Clustering with User-Specified Density
- An elitist artificial electric field algorithm based random vector functional link network for cryptocurrency prices forecasting
- An experiential learning approach to learn AI in an online workshop
- An interactive knowledge-based multiobjective evolutionary algorithm framework for practical optimization problems
- An interview with kalyanmoy deb 2022 ACM fellow
- An unforgeable publicly verifiable watermark for large language models
- Artificial intelligence for data discovery and reuse in endocrinology and metabolism
- Automated COVID-19 CT image classification using multi-head channel attention in deep CNN
- Automated Extraction and Visualization of Metabolic Networks from Biomedical Literature Using a Large Language Model
- Bayesian federated learning: A survey
- Bipartite graph convolutional hashing for effective and efficient top-n search in hamming space
- Blurring-sharpening process models for collaborative filtering
- Chapter Retrofitting of Buildings to Improve Energy Efficiency: A Comprehensive Systematic Literature Review and Future Research Directions
- CIS Publication Spotlight [Publication Spotlight]
- Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning
- Compact network embedding for fast node classification
- Comparing and Normalizing the Measurement of Step Counts and Heart Rates of Selected Wristbands and Smartwatches
- Compromising Pareto-Optimality With Regularity in Platform-Based Multiobjective Optimization
- Computational approaches to explainable artificial intelligence: advances in theory, applications and trends
- Contrastive cross-scale graph knowledge synergy
- Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
- Development of a framework for metaverse in education: A systematic literature review approach
- Diagnose like a pathologist: Transformer-enabled hierarchical attention-guided multiple instance learning for whole slide image classification
- Digital space economic transformation design: An innovation ecosystem approach
- Discovering adaptable symbolic algorithms from scratch
- Disentangling motives behind item consumption and social connection for mutually-enhanced joint prediction
- Doubly stochastic graph-based non-autoregressive reaction prediction
- Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review
- Drug synergistic combinations predictions via large-scale pre-training and graph structure learning
- Dynamic in-context learning from nearest neighbors for bundle generation
- Eliminating non-dominated sorting from NSGA-III
- Enhancing cybersecurity resilience: A comprehensive analysis of human factors and security practices aligned with the NIST cybersecurity framework
- Enhancing cybersecurity situation awareness through visualization: A USB data exfiltration case study
- Enhancing Diabetic Retinopathy Classification for Small Sample Training Data Through Supervised Feature Attention: Transfer and Multitask Learning Approach
- Enhancing security in WhatsApp: a system for detecting malicious and inappropriate content
- Ensemble-Based Classification of COVID-19 Radiographic Images using Spatial, Textural, and Intensity-Based Features
- Evolutionary many-objective optimisation for pathfinding problems
- Evolutionary multi-task optimization
- Exploiting Local Information with Subgraph Embedding for Graph Neural Networks
- Exploiting local inter-task relationships in adaptive multi-task learning
- Exploring user experience with voice assistants: Impact of prior experience on voice assistants
- Facial emotion detection for thai elderly people using yolov7
- Fall risk assessment dataset: older-adult participants undergoing the time up and go test
- FedHGN: a federated framework for heterogeneous graph neural networks
- Finding robust solutions for many-objective optimization using NSGA-III
- Flexible contribution estimation methods for horizontal federated learning
- Freezing of gait prediction using deep learning
- Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet
- GDA: Generative data augmentation techniques for relation extraction tasks
- Generalizable Neural Physics Solvers by Baldwinian Evolution
- Generalized category discovery with clustering assignment consistency
- Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy
- GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization
- GNBG: a generalized and configurable benchmark generator for continuous numerical optimization
- Granger causality using Jacobian in neural networks
- Graph component contrastive learning for concept relatedness estimation
- Gread: Graph neural reaction-diffusion networks
- Hardware Performance Analysis of N-bit CLA on FPGA and Programmable SoC
- Heterogeneous multi-party learning with data-driven network sampling
- Hey Alexa… Examining factors influencing the educational use of ai-enabled voice assistants during the covid-19 pandemic
- How to select physics-informed neural networks in the absence of ground truth: a pareto front-based strategy
- Hyperbolic graph neural networks: A tutorial on methods and applications
- Hyperbolic representation learning: Revisiting and advancing
- Identifying pareto fronts reliably using a multistage reference-vector-based framework
- IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework
- Immersive Technologies in Virtual Companions: A Systematic Literature Review
- Improved evolutionary operators for sparse large-scale multiobjective optimization problems
- Information security awareness in higher education institutes: A work in progress
- Integration of epigenetic regulatory mechanisms in heart failure
- Intelligent attributes of voice assistants and user’s love for AI: A SEM-based study
- Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race
- Introducing feature attention module on convolutional neural network for diabetic retinopathy detection
- Inverse transfer multiobjective optimization
- Investigating innovized progress operators with different machine learning methods
- Jack and masters of all trades: one-pass learning sets of model sets from large pre-trained models
- Key issues in real-world applications of many-objective optimisation and decision analysis
- Knowledge transfer via multi-head feature adaptation for whole slide image classification
- Large language models as source planner for personalized knowledge-grounded dialogue
- Large language models can be guided to evade ai-generated text detection
- Learning from Others: Daily COVID-19 Cases Prediction in India using Ensembles of LSTM-RNNs
- Learning multitask Gaussian process over heterogeneous input domains
- Learning to predict Pareto-optimal solutions from pseudo-weights
- Lsa-pinn: Linear boundary connectivity loss for solving pdes on complex geometry
- Machine learning based prediction of new pareto-optimal solutions from pseudo-weights
- Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer
- Malware classification with disentangled representation learning of evolutionary triplet network
- Maximizing disability diversity, language diversity, and productivity: A study in apparel manufacturing
- Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities
- Meta-learning with motif-based task augmentation for few-shot molecular property prediction
- Metatranscriptomics-guided genome-scale metabolic modeling of microbial communities
- MICLUST: A Clustering Algorithm for High Dimensional Data
- Mitigating the popularity bias of graph collaborative filtering: A dimensional collapse perspective
- Mo1240 A MULTI-MODALITY MACHINE LEARNING METHOD IS SUPERIOR TO OPERATIVE LINK FOR GASTRIC INTESTINAL METAPLASIA STAGING IN PREDICTING GASTRIC NEOPLASIA DEVELOPMENT FROM …
- Mo1243 PREDICTION OF GASTRIC CANCER DEVELOPMENT FROM INTESTINAL METAPLASIA USING DEEP LEARNING MODEL IN GASTRIC BIOPSIES
- Moaz: A multi-objective automl-zero framework
- Multi-dimensional experimental and computational exploration of metabolism pinpoints complex probiotic interactions
- Multi-objective evolutionary design of microstructures using diffusion autoencoders
- Multi-objective robust optimization and decision-making using evolutionary algorithms
- Multimodal relation extraction with cross-modal retrieval and synthesis
- Nested bilevel evolutionary algorithm (N-BLEA)
- Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment
- Neural Architecture Search for Explainable Networks
- Neural influence estimator: Towards real-time solutions to influence blocking maximization
- Neuro-Symbolic Integration for Detecting Phishing Attacks
- Neuroevolution of physics-informed neural nets: Benchmark problems and comparative results
- No change, no gain: Empowering graph neural networks with expected model change maximization for active learning
- On generalized dominance structures for multi-objective optimization
- On the choice of unique identifiers for predicting pareto-optimal solutions using machine learning
- Optimal block-wise asymmetric graph construction for graph-based semi-supervised learning
- Optimizing keyboard configuration using single and multi-objective evolutionary algorithms
- Pareto optimization with small data by learning across common objective spaces
- Partitioning graph clustering with user-specified density
- Pedagogical Design Matters: Integrating Engineering Design and Knowledge Building for Undergraduates to Practice and Improve Computational Thinking Skills
- Personality perceptions of conversational agents: A task-based analysis using thai as the conversational language
- Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet
- Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Sampling
- Policy Dispersion in Non-Markovian Environment
- Power and Delay Efficient Hardware Implementation with ATPG for Vedic Multiplier Using Urdhva Tiryagbhyam Sutra
- Practical and efficient model extraction of sentiment analysis APIs
- Predicting global label relationship matrix for graph neural networks under heterophily
- Predicting residential energy consumption by explainable deep learning with long-term and short-term latent variables
- Predicting three types of freezing of gait events using deep learning models
- Preface for ACPR 2023 Proceedings
- Proceedings of the 17th ACM Conference on Recommender Systems
- Prompt evolution for generative ai: A classifier-guided approach
- Pure and mixed lexicographic-paretian many-objective optimization: state of the art
- RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
- Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions
- Recognition of behavioural intention in repeated games using machine learning
- Recognizing fall risk factors with convolutional neural network
- RegEMO: Sacrificing Pareto-optimality for regularity in multi-objective problem-solving
- Reliability estimation using long short-term memory networks
- Rethinking Machine Ethics--Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
- Revisiting Collaborative Filtering
- Revisiting residual networks for adversarial robustness
- Simple Data Augmentation Techniques for Chinese Disease Normalization
- SkipFlowNet: Integrating Skip Connection and Spatial Dropout in Deep Convolutional Neural Network for Improved Pneumonia Detection
- Spectral feature augmentation for graph contrastive learning and beyond
- Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data
- Status of Omics Research Capacity on Oral Cancer in Africa: A Systematic Scoping Review Protocol
- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-Based Approach
- Survey on AI sustainability: emerging trends on learning algorithms and research challenges
- Tackling long-tailed distribution issue in graph neural networks via normalization
- Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
- The baldwin effect in advancing generalizability of physics-informed neural networks
- The Stock-flow Classification Model Using Ensemble Machine Learning Approach for Particle Board Inventory
- Think rationally about what you see: Continuous rationale extraction for relation extraction
- This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details
- Topological representation learning for e-commerce shopping behaviors
- Towards building voice-based conversational recommender systems: Datasets, potential solutions and prospects
- Towards fair financial services for all: A temporal GNN approach for individual fairness on transaction networks
- Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks
- Triplet-trained graph transformer with control flow graph for few-shot malware classification
- Understanding diversity in session-based recommendation
- Unfolded self-reconstruction LSH: Towards machine unlearning in approximate nearest neighbour search
- University students’ acceptance and usage of generative AI (ChatGPT) from a psycho-technical perspective
- Unlocking the black box: Exploring the use of generative AI (ChatGPT) in information systems research
- Utilizing innovization to solve large-scale multi-objective chesapeake bay watershed problem
- Variable functioning and its application to large scale steel frame design optimization
- Virtual metrology in long batch processes using machine learning
- Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)
- Visualization-aided multi-criteria decision-making using interpretable self-organizing maps
- VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder
- VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
- What affects the adoption of metaverse in education? A SEM-based approach
- What affects the usage of artificial conversational agents? An agent personality and love theory perspective
- WSFE: wasserstein sub-graph feature encoder for effective user segmentation in collaborative filtering
- κhgcn: Tree-likeness modeling via continuous and discrete curvature learning
- In what ways does user experience design improve printed educational materials?
- Transparent-Reflective Switchable Glass Using Multi-layered Transition Metal Dichalcogenides
- Factors influencing and changes in childhood vaccination coverage over time in Bangladesh: a multilevel mixed-effects analysis
- Benchmarking CRISPR-BP34 for point-of-care melioidosis detection in LMIC: a molecular diagnostics study
- Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism
- Mo1240 a Multi-modality Machine Learning Method Is Superior to Operative Link for Gastric Intestinal Metaplasia Staging in Predicting Gastric Neoplasia Development from Intestinal Metaplasia
- Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]
- Figure S1 from Inhibition of the NKp44-PCNA Immune Checkpoint Using a mAb to PCNA
- Figure S2 from Inhibition of the NKp44-PCNA Immune Checkpoint Using a mAb to PCNA
- Figure S3 from Inhibition of the NKp44-PCNA Immune Checkpoint Using a mAb to PCNA
- Supplementary Figure 1 from mTOR Signaling Feedback Modulates Mammary Epithelial Differentiation and Restrains Invasion Downstream of PTEN Loss
- Supplementary Movie 1 from mTOR Signaling Feedback Modulates Mammary Epithelial Differentiation and Restrains Invasion Downstream of PTEN Loss
- TAG-ME again: A serious game for measuring working memory
- Applying Human Factors to Reduce Healthcare-Associated Infections Caused by Face Touching
- Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails
- Weakness exploitation: Predicting socially communicative devices as a successor to internet-based graphical user interfaces
- Effects of Unit Census and Patient Acuity Levels on Discussions During Patient Rounds
- Phenotypic and genetic alterations of Burkholderia pseudomallei in patients during relapse and persistent infections
- Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement
- Underutilized plant sources: A hidden treasure of natural colors
- Data
- Hybrid Autoencoder-Multi-Task Lstm Model for Indian Stock Market Ohlc Prediction and Profitable Recommendations
- Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues
- Pattern Recognition
- Retrofitting of Buildings to Improve Energy Efficiency: A Comprehensive Systematic Literature Review and Future Research Directions
- Study of Data Augmentation Technique for Discharge Prediction Problems Including Meandering Parameters
- Variations in Superficial Veins of Neck among Population of Eastern India in the Light of Embryological Explanation: A Cadaveric Cross-sectional Study
2022 214
- Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
- kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning
- Ankol plant (Alangium salvifolium)-The treasure trove of bioactives and medicinal potential
- A Multiplexed Cas13-Based Assay with Point-of-Care Attributes for Simultaneous COVID-19 Diagnosis and Variant Surveillance
- A Comprehensive Study on Next-Generation Electromagnetics Devices and Techniques for Internet of Everything (IoE)
- Pneumococcal within-host diversity during colonization, transmission and treatment
- Boosting Delirium Identification Accuracy With Sentiment-Based Natural Language Processing: Mixed Methods Study
- An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems
- The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence
- Nature’s palette: An emerging frontier for coloring dairy products
- A Review on Bioinks and their Application in Plant Bioprinting
- Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?
- How Well Do Privacy-Protective Behaviours Age? The Prevalence of Privacy Heuristics Among Older Adults
- Patient Safety Challenges in the Pandemic: Applying Human Factors Principles to Embed Patient Safety and Experience at the Clinical Front Line
- Highly specific and sensitive detection of Burkholderia pseudomallei genomic DNA by CRISPR-Cas12a
- COSTA
- Evolutionary Multi-Task Optimization for Generalized Vehicle Routing Problem with Occasional Drivers
- Explicit Evolutionary Multi-Task Optimization Algorithm
- Explicit Evolutionary Multi-Task Optimization for Capacitated Vehicle Routing Problem
- Multi-Factorial Evolutionary Algorithm with Adaptive Knowledge Transfer
- Multi-Space Evolutionary Search for Large-Scale Multi-Objective Optimization
- Multi-Space Evolutionary Search for Large-Scale Single-Objective Optimization
- Overview and Application-Driven Motivations of Evolutionary Multitasking
- The Multi-Factorial Evolutionary Algorithm
- Revisiting Bundle Recommendation
- A meta-review of psychological resilience during COVID-19
- 0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications
- A cell-based fast memetic algorithm for automated convolutional neural architecture design
- A computationally fast but approximate MIP-DoM calculation for multi-objective optimization
- A customized genetic algorithm for bi-objective routing in a dynamic network
- A deep neural network ensemble of multimodal signals for classifying excavator operations
- A layered spiking neural system for classification problems
- A localized high-fidelity-dominance-based many-objective evolutionary algorithm
- A multifactorial differential evolution with hybrid global and local search strategies
- A neuro-symbolic AI system for visual question answering in pedestrian video sequences
- A pipeline and comparative study of 12 machine learning models for text classification
- A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling
- A speciation-based bilevel niching method for multimodal truss design problems
- A Study on Deep Learning for Prognostics and Health Management Applications: An Evolutionary Convolutional Long Short-Term Memory Deep Neural Network Data-Driven Model for …
- A survey of learning on small data: generalization, optimization, and challenge
- A survey on deep semi-supervised learning
- A survey on evaluation metrics for synthetic material micro-structure images from generative models
- A systematic review of effective metrics of simulator-based automatic assessment of driving after stroke
- A systematic review of voice assistant usability: An ISO 9241–11 approach
- A vision transformer enhanced with patch encoding for malware classification
- ACE: A coarse-to-fine learning framework for reliable representation learning against label noise
- Adaptive transfer kernel learning for transfer gaussian process regression
- Advanced technology empowering MOOCs
- An effective post-training embedding binarization approach for fast online top-k passage matching
- An information theoretic approach to reducing algorithmic bias for machine learning
- An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors
- An unsupervised band selection method for hyperspectral images using mutual information based dependence index
- Anti-forensic deepfake personas and how to spot them
- Apples vs. Oranges: The QoE Scenario in Consumer IoT Services
- Applying the stimulus organism response framework to explain student’s academic self-concept in online learning during the COVID-19 pandemic
- Approximations for Pareto and proper Pareto solutions and their KKT conditions
- Attentive knowledge-aware graph convolutional networks with collaborative guidance for personalized recommendation
- Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks
- Automatic Text Summarization of COVID-19 Scientific Research Topics Using Pre-trained Models from Hugging Face
- Benefits of sparse population sampling in multi-objective evolutionary computing for large-scale sparse optimization problems
- Bi-objective optimization of transcritical CO2 heat pump systems
- Breaking hardware boundaries of IoT devices via inverse feature completion
- Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features
- CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method
- CenGCN: Centralized convolutional networks with vertex imbalance for scale-free graphs
- Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning
- Clinical stratification improves the diagnostic accuracy of small omics datasets within machine learning and genome-scale metabolic modelling methods
- Co-designing artificial intelligence curriculum for secondary schools: A grounded theory of teachers' experience
- Co-learning Bayesian optimization
- Computational profiling of natural compounds as promising inhibitors against the spike proteins of SARS‐CoV‐2 wild‐type and the variants of concern, viral cell‐entry process …
- ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation
- COSTA: covariance-preserving feature augmentation for graph contrastive learning
- CRODNM: Chemical Reaction optimization of dendritic neuron models for forecasting net asset values of mutual funds
- Cross-domain adaptation using domain interpolation for rotating machinery fault diagnosis
- Daisyrec 2.0: Benchmarking recommendation for rigorous evaluation
- Decision tree analysis to evaluate risks associated with lameness on dairy farms with automated milking systems
- Delving into inter-image invariance for unsupervised visual representations
- Developing an AI literacy test for junior secondary students: The first stage
- Dissecting the transcriptome in cardiovascular disease
- E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction
- ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy
- Embarking on a MOOC Journey
- Emerging Paradigm of IoT Enabled Smart Villages
- Emotion detection of Thai elderly facial expressions using hybrid object detection
- Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
- Ensemble of deep convolutional learning classifier system based on genetic algorithm for database intrusion detection
- Ensemble of diverse deep neural networks with pseudo-labels for repayment prediction in social lending
- Environmental measurements and genetic effects for cancer survival integration data
- Evaluating the intention for the adoption of artificial intelligence-based robots in the university to educate the students
- Evolutionary Optimization
- Evolutionary optimization of large complex problems
- Evolutionary optimization of large complex problems (May, 10.1007/s40747-022-00766-x, 2021)
- Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification
- Exploiting inactive examples for natural language generation with data rejuvenation
- Exploring Global MOOC Ecosystems
- Facial expression synthesis using radial basis function networks
- Fast-PINN for Complex Geometry: Solving PDEs with Boundary Connectivity Loss
- Generative multiform Bayesian optimization
- Genome Sequencing Variations in the Octodon degus, an Unconventional Natural Model of Aging and Alzheimer's Disease
- Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction
- Global MOOC Landscape
- GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single-and Multi-objective Optimization
- Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
- Gradient regularization with multivariate distribution of previous knowledge for continual learning
- Graph-adaptive rectified linear unit for graph neural networks
- Graph-based semi-supervised learning: A comprehensive review
- Gread: Graph neural reaction-diffusion equations
- Guest editorial special issue on multitask evolutionary computation
- Half a dozen real-world applications of evolutionary multitasking, and more
- Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
- Hicf: Hyperbolic informative collaborative filtering
- Hierarchical heterogeneous graph attention network for syntax-aware summarization
- How does frequency bias affect the robustness of neural image classifiers against common corruption and adversarial perturbations?
- How perceptions of trust and intrusiveness affect the adoption of voice activated personal assistants
- HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization
- Hyperbolic curvature graph neural network
- Hyperbolic graph neural networks: A review of methods and applications
- Hyperbolic graph representation learning: A tutorial
- Hyperbolic temporal network embedding
- Image-based benchmarking and visualization for large-scale global optimization
- Importance prioritized policy distillation
- Individual fairness in dynamic financial networks
- Influence-aware attention networks for anomaly detection in surveillance videos
- Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16-17, 2022, Proceedings
- Innovative MOOC Pedagogy and Assessments
- Insider attack detection in database with deep metric neural network with Monte Carlo sampling
- Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction
- Intelligent Data Engineering and Automated Learning–IDEAL 2022: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings
- Intelligent financial forecasting with an improved chemical reaction optimization algorithm based dendritic neuron model
- Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions
- Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions. arXiv
- Interprofessional education—situations of a university in Hong Kong and major hurdles to teachers and students
- Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data
- Jax-accelerated neuroevolution of physics-informed neural networks: Benchmarks and experimental results
- Knowledge-aware neural networks with personalized feature referencing for cold-start recommendation
- Krathu-500: Post-Comments Thai Corpus
- Large-scale multi-objective optimization for water quality in Chesapeake Bay watershed
- Lean evolutionary reinforcement learning by multitasking with importance sampling
- Learning binarized graph representations with multi-faceted quantization reinforcement for top-k recommendation
- Learning from ideography and labels: a schema-aware radical-guided associative model for Chinese text classification
- Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data
- Learning in sinusoidal spaces with physics-informed neural networks
- Loss of full-length dystrophin expression results in major cell-autonomous abnormalities in proliferating myoblasts
- Machine learning-based framework to cover optimal pareto-front in many-objective optimization
- Masked frequency modeling for self-supervised visual pre-training
- Minimizing expected deviation in upper level outcomes due to lower level decision making in hierarchical multiobjective problems
- Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation
- Momentum contrastive pre-training for question answering
- MOOC Development in Greater China
- MOOC Policies Across the Globe
- Multimodality in meta-learning: A comprehensive survey
- Multiparty dual learning
- Multispace evolutionary search for large-scale optimization with applications to recommender systems
- Multitask neuroevolution for reinforcement learning with long and short episodes
- Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification
- Mutual Information Assisted Ensemble Recommender System for Identifying Critical Risk Factors in Healthcare Prognosis
- Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
- Not all neighbors are worth attending to: Graph selective attention networks for semi-supervised learning
- Obfuscated malware detection using deep generative model based on global/local features
- On the Use of Grossone Methodology for Handling Priorities in Multi-objective Evolutionary Optimization
- Outlook of MOOCs in Post-Pandemic Era
- Parameter tuning and control: A case study on differential evolution with polynomial mutation
- Personality is to a Conversational Agent What Perfume is to a Flower
- Personality type based on myers-briggs type indicator with text posting style by using traditional and deep learning
- Perturbation-recovery method for recommendation
- Plant-DTI: Extending the landscape of TF protein and DNA interaction in plants by a machine learning-based approach
- Prediction of exchange rate using improved particle swarm optimised radial basis function networks
- pysamoo: Surrogate-assisted multi-objective optimization in python
- Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training
- Resnorm: Tackling long-tailed degree distribution issue in graph neural networks via normalization
- Retrieval-augmented multilingual keyphrase generation with retriever-generator iterative training
- Revisiting bundle recommendation: Datasets, tasks, challenges and opportunities for intent-aware product bundling
- Roles of MOOCs in times of crises
- Scalable transfer evolutionary optimization: Coping with big task instances
- Scaling multiobjective evolution to large data with minions: A bayes-informed multitask approach
- Scheduling by NSGA-II: review and bibliometric analysis
- Segmentation of smoke plumes using fast local Laplacian filtering
- Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021)
- Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
- Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks
- Semisupervised graph neural networks for graph classification
- Single cell self-paced clustering with transcriptome sequencing data
- Student's Academic Self-concept in Online Learning During
- Synthesising audio adversarial examples for automatic speech recognition
- Text revision by on-the-fly representation optimization
- The diagnostic and prognostic potential of the EGFR/MUC4/MMP9 axis in glioma patients
- The effect of trust and its antecedents towards determining users’ behavioral intention with voice-based consumer electronic devices
- Tightening regret bounds for scalable transfer optimization with Gaussian process surrogates
- TimeKit: A time-series forecasting-based upgrade kit for collaborative filtering
- Toward interpretable-AI policies using evolutionary nonlinear decision trees for discrete-action systems
- Towards an optimal asymmetric graph structure for robust semi-supervised node classification
- Towards effective detection of elderly falls with CNN-LSTM neural networks
- Towards efficient post-training quantization of pre-trained language models
- Transfer kernel learning for multi-source transfer gaussian process regression
- Understanding in-app advertising issues based on large scale app review analysis
- Using machine learning as a surrogate model for agent-based simulations
- Using online food delivery applications during the COVID-19 lockdown period: What drives University Students’ satisfaction and loyalty?
- Visualization-aided multi-criterion decision-making using reference direction based Pareto race
- Who wants to shop with you: Joint product–participant recommendation for group-buying service
- Whole‐genome sequencing and genome‐scale metabolic
- Whole‐genome sequencing and genome‐scale metabolic modeling of Chromohalobacter canadensis 85B to explore its salt tolerance and biotechnological use
- Word2pix: Word to pixel cross-attention transformer in visual grounding
- Editorial: Enhancing Quality of Life in Ambient Spaces
- Coffee Roast Intelligence
- A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
- Computational profiling of natural compounds as promising inhibitors against the spike proteins of SARS‐CoV‐2 wild‐type and the variants of concern, viral cell‐entry process, and cytokine storm in COVID‐19
- FMEA-AI: AI fairness impact assessment using failure mode and effects analysis
- Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
- Longitudinal analysis of sustained performance on gamified cognitive assessment tasks
- Pneumococcal within-host diversity during colonisation, transmission and treatment
- Novel Bioactive Compounds From Marine Sources as a Tool for Functional Food Development
- Picture-Word Interference Effects Are Robust With Covert Retrieval, With and Without Gamification
- Innovations in Intelligent Computing and Communication
- Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making.
Earlier publications (2021 and before)
No publications match your search.