Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach
W Engchuan, A Meechai, S Tongsima, N Doungpan, JH Chan. Cited by 7
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Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking
YS Ong, A Gupta. Cited by 254
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Multiplex methods provide effective integration of multi-omic data in genome-scale models
C Angione, M Conway, P Lió. Cited by 58
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A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning
JH Kim, KH Kim, SB Cho. Cited by 4
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An improved fully stressed design evolution strategy for layout optimization of truss structures
A Ahrari, K Deb. Cited by 51
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Predictive analytics of environmental adaptability in multi-omic network models
C Angione, P Lió. Cited by 57
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Low-Cost Transducer Based On Surface Scattering Using Side-Polished D-Shaped Optical Fibers
YS Ong, W Kam, SW Harun, RB Zakaria, WS Mohammed. Cited by 12
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Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey
S Parida, S Dehuri, SB Cho. Cited by 3
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Real-Time Analysis of Vital Signs Using Incremental Data Stream Mining Techniques with a Case Study of ARDS Under ICU Treatment
SJ Fong, SWI Siu, S Zhou, JH Chan, S Mohammed, J Fiaidhi. Cited by 1
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Monitoring and visualizing the daily activities and in-house locations using smartphone
S Sukreep, P Mongkolnam, C Nukoolkit
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Improving the Ergonomics of Cognitive Assessment with Serious Games
T Tong, J Yeung, J Sandrakumar, M Chignell, MC Tierney, JS Lee. Cited by 8
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Unconstrained robust optimization using a descent-based crossover operator
A Sinha, A Porokka, P Malo, K Deb. Cited by 2