Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Incorporating 3D Structural Information for Activity Cliff Analysis
Z Liu, X Zhang, Y Chen, B Feng, M Yang, Z Xu, Y Li, PS Yu, I King
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Ensemble Surrogate-Assisted Optimization with Dynamic Dimensional Splitting for High-Dimensional Expensive Mixed-Variable Problems
J Yi, S Zhu, M Cui, K Deb
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Analyzing ESG Cluster Characteristics of Thai Equity Market Sectors using Unsupervised Machine Learning
P Tanapornwattana, B Watanapa, C Nukoolkit
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Feature Selection for HMM Regime Detection: An Empirical Characterisation of Volatility and Trend Features in Equity Markets
J Xu, KM Kyaw, JH Chan
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Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer
N Eftekhari, S Verma, A Saha, G Zampieri, S Sawan, A Occhipinti, C Angione
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Bioprocess optimisation via joint machine learning and metabolic modelling
G Zampieri, V Sandner, S Verma, J Kraemer, C Lennon, A Occhipinti, G McCreath, C Angione. Cited by 1
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Allies Teach Better Than Enemies: Inverse Adversaries for Robust Knowledge Distillation
J Dong, RZ Moayedi, YS Ong, SM Moosavi-Dezfooli. Cited by 2
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Out-of-Distribution Generalization for Neural Physics Solvers
Z Wei, CC Ooi, JC Wong, AK Gupta, PH Chiu, YS Ong
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Identifying Risk Regimes in Thai Equities Using Rolling-Correlation Features and Unsupervised Learning
S Watanapa, B Watanapa
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Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
JC Wong, A Gupta, CC Ooi, P Chiu, J Liu, YS Ong. Cited by 10
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A Review on Bilevel Optimization Using Evolutionary Algorithms and Machine Learning Approaches
D Chauhan, H Ishibuchi, K Deb, A Trivedi, D Srinivasan
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ConSurv: Multimodal Continual Learning for Survival Analysis
D Yu, C Xiong, Y Chen, W Cui, X Zhang, Y Zhang, H Chen, JJ� Sung, I King