Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
Publications in this area
390 in total, most recent first.
- Incorporating 3D Structural Information for Activity Cliff Analysis
- Ensemble Surrogate-Assisted Optimization with Dynamic Dimensional Splitting for High-Dimensional Expensive Mixed-Variable Problems
- Feature Selection for HMM Regime Detection: An Empirical Characterisation of Volatility and Trend Features in Equity Markets
- Analyzing ESG Cluster Characteristics of Thai Equity Market Sectors using Unsupervised Machine Learning
- Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer
- Bioprocess optimisation via joint machine learning and metabolic modelling
- Allies Teach Better Than Enemies: Inverse Adversaries for Robust Knowledge Distillation
- Out-of-Distribution Generalization for Neural Physics Solvers
- Identifying Risk Regimes in Thai Equities Using Rolling-Correlation Features and Unsupervised Learning
- Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
- A Review on Bilevel Optimization Using Evolutionary Algorithms and Machine Learning Approaches
- ConSurv: Multimodal Continual Learning for Survival Analysis