Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Flattening the Curve of Cognitive Decline: A Survey of Cognitive Interventions for People Living with Dementia
BBB Zhang, M Chignell. Cited by 3
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Co-evolutionary signals from Burkholderia pseudomallei genomics identify its survival strategies and highlight improving environmental health as prevention policy
C Chewapreecha, J Pensar, S Chattagul, M Pesonen, A Sangphukieo, P Boonklang, C Potisap, S Koosakulnirand, EJ Feil, SJ Dunachie, N Chantratita, D Limmathurotsakul, SJ Peacock, NP Day, J Parkhill, NR Thomson, RW Sermswan, J Corander. Cited by 1
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A Framework for Using Cognitive Assessment Games for People Living with Dementia
BBB Zhang, M Chignell. Cited by 9
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PaletteStarViz
AKMKA Talukder, K Deb. Cited by 2
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Bio-inspired Routing in DMFB
P Roy, D Pal, T Biswas, R Bhattacharya, H Rahaman. Cited by 2
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From genes to cognition: Octodon degus, an animal model for AD translational research
M Mugnaini, R Deacon, G Sampieri, P Vanderklish, C Angione, E Kropff, et al
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Incremental Object Detection Using Ensemble Modeling and Deep Transfer Learning
P Huayhongthong, S Rerk-u-suk, S Booddee, P Padungweang, et al. Cited by 2
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Developments in AI and machine learning for neuroimaging
S O’Sullivan, F Jeanquartier, C Jean-Quartier, A Holzinger, D Shiebler, et al. Cited by 11
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Bayesian networks+ reinforcement learning: Controlling group emotion from sensory stimuli
SG Choi, SB Cho. Cited by 11
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Exploiting unsupervised data for emotion recognition in conversations
W Jiao, MR Lyu, I King. Cited by 15
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Featurenorm: L2 feature normalization for dynamic graph embedding
M Yang, Z Meng, I King. Cited by 39
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A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis
TN Pandey, AK Jagadev, S Dehuri, SB Cho. Cited by 49