Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Experimental condition selection in whole-genome functional classification
Z Zhu, YS Ong, K Wong, KT Scow. Cited by 4
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Multiclass protein fold recognition using multiobjective evolutionary algorithms
S Shi, PN Suganthan, K Deb. Cited by 34
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Video summarization by video structure analysis and graph optimization
S Lu, I King, MRT Lyu. Cited by 35
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Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms
D Datta, K Deb. Cited by 10
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Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches
RTFA King, HCS Rughooputh, K Deb. Cited by 119
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Two-Phase LMR-RC Tagging for Chinese Word Segmentation
TP Lau, I King. Cited by 2
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Surrogate-assisted coevolutionary search
YS Ong, AJ Keane, PB Nair. Cited by 30
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Incremental support vector machine for unlabeled data classification
JH Hong, SB Cho. Cited by 13
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Whole-genome functional classification of genes by latent semantic analysis on microarray data
SK Ng, Z Zhu, YS Ong. Cited by 11
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Multi-Class Protein Fold Recognition Using Multi-Objective Evolutionary Algorithms
SYM Shi, PN Suganthan, K Deb. Cited by 13
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Gaussian mixture distance for information retrieval
X Li, I King. Cited by 14
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Towards understanding constraint-handling methods in evolutionary algorithms
Z Michalewicz, K Deb, MH Schmidt, T Stidsen. Cited by 6