Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Neuroevolution of physics-informed neural nets: Benchmark problems and comparative results
N Sung, JC Wong, CC Ooi, A Gupta, PH Chiu, YS Ong. Cited by 11
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Discovering adaptable symbolic algorithms from scratch
S Kelly, DS Park, X Song, M McIntire, P Nashikkar, R Guha, W Banzhaf, et al. Cited by 11
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Intelligent attributes of voice assistants and user’s love for AI: A SEM-based study
D Pal, MD Babakerkhell, B Papasratorn, S Funilkul. Cited by 23
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Multi-dimensional experimental and computational exploration of metabolism pinpoints complex probiotic interactions
G Zampieri, G Efthimiou, C Angione. Cited by 35
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Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy
A Quesnel, N Coles, C Angione, P Dey, TM Polvikoski, TF Outeiro, et al. Cited by 25
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A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images
KW Park, SB Cho. Cited by 42
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Blurring-sharpening process models for collaborative filtering
J Choi, S Hong, N Park, SB Cho. Cited by 57
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TAG-ME again: A serious game for measuring working memory
YZ Hu, S Parimoo, M Chignell, CJ Lowe, JB Morton. Cited by 10
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Retrofitting of Buildings to Improve Energy Efficiency: A Comprehensive Systematic Literature Review and Future Research Directions
E Imani, H Dawood, NN Dawood, A Occhipinti. Cited by 2
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Boosting Delirium Identification Accuracy With Sentiment-Based Natural Language Processing: Mixed Methods Study
L Wang, Y Zhang, M Chignell, B Shan, K Sheehan, FA Razak, AA Verma. Cited by 32
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How Well Do Privacy-Protective Behaviours Age? The Prevalence of Privacy Heuristics Among Older Adults
A Iglar, M Chignell
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Patient Safety Challenges in the Pandemic: Applying Human Factors Principles to Embed Patient Safety and Experience at the Clinical Front Line
M Chignell, TNT Hall, L Liu, M Kastner, FA Razak