Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Test-case generator for nonlinear continuous parameter optimization techniques
Z Michalewicz, K Deb, MH Schmidt, T Stidsen. Cited by 91
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Rule-based integration of multiple neural networks evolved based on cellular automata
GB Song, SB Cho. Cited by 2
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Optimum design of laminated composite plates with cutouts undergoing large amplitude oscillations
K Sivakumar, NGR Iyengar, K Deb. Cited by 11
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In Information Exploration
G Golovchinsky, M Chignell, N Charoenkitkarn. Cited by 5
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Cooperative-competitive as a Genetic Operator in Global Optimization
TL Wong, I King
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Dynamic Hypertext Benefits Novices in Question Answering
JC Tam, RC Bodner, M Chignell. Cited by 3
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Fundamental Concepts of Evolutionary Computation
T Bäck, LJ Eshelman, G Rudolph, VW Porto, KE Kinnear, RE Smith, Z Michalewicz, NJ Radcliffe, HG Beyer, S Khuri, K Deb, L Altenberg, B Manderick, MS Mitchell, S Forrest, JP Ros. Cited by 5
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Design and evaluation of web-based dynamic hypertexts
M Chignell, JC Tam. Cited by 3
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Formal experiments in casual attire: case studies in information exploration
G Golovchinsky, M Chignell, N Charoenkitkarn. Cited by 8
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Steps toward output device-independent feedback: evaluation of a standardised vocabulary
DI Fels, M Chignell, GF Shein, M Milner
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Combining multiple neural networks by fuzzy integral for robust classification
SB Cho, JH Kim. Cited by 344
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Intelligent Database Tools & Applications: Hyperinformation Access, Data Quality, Visualization, Automatic Discovery
K Parsaye, M Chignell. Cited by 18