Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Real-time emotion recognition via attention gated hierarchical memory network
W Jiao, M Lyu, I King. Cited by 154
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Age-sensitive well-being support
JA Waterworth, M Chignell, HJ Moller. Cited by 4
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Motivating Physical Exercise in the Elderly with Mixed Reality Experiences
M Chignell, H Matulis, B Nejati. Cited by 10
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Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning
RS Chow, M Ho, I King. Cited by 2
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Genetic variation associated with infection and the environment in the accidental pathogen Burkholderia pseudomallei
C Chewapreecha, AE Mather, SR Harris, M Hunt, MTG Holden, C Chaichana, V Wuthiekanun, G Dougan, N Day, D Limmathurotsakul, J Parkhill, SJ Peacock. Cited by 32
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Using a serious game to measure executive functioning: Response inhibition ability
T Tong, M Chignell, CA DeGuzman. Cited by 36
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A Longitudinal Study on Quality of Experience (QoE) measures to predict customer’s Likelihood to Recommend (L2R) a service
A Azad, M Chignell, L Zucherman. Cited by 1
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PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition
W Jiao, MRT Lyu, I King. Cited by 8
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AIR5: Five Pillars of Artificial Intelligence Research
YS Ong, A Gupta. Cited by 61
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Title-Guided Encoding for Keyphrase Generation
W Chen, Y Gao, J Zhang, I King, MRT Lyu. Cited by 112
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Optimisation of crop configuration using NSGA-III with categorical genetic operators
O Marko, D Pavlović, VS Crnojevic, K Deb. Cited by 1
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Neural Keyphrase Generation via Reinforcement Learning with Adaptive\n Rewards
HP Chan, C Wang, L Wang, I King