Jason Teo, SMIEEE
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A series of NiM (M= Ru, Rh, and Pd) bimetallic catalysts for effective lignin hydrogenolysis in water
J Zhang, J Teo, X Chen, H Asakura, T Tanaka, K Teramura, N Yan
Acs Catalysis 4 (5), 1574-1583, 2014
Exploring dynamic self-adaptive populations in differential evolution
J Teo
Soft computing 10, 673-686, 2006
EEG‐based emotion recognition: a state‐of‐the‐art review of current trends and opportunities
NS Suhaimi, J Mountstephens, J Teo
Computational intelligence and neuroscience 2020 (1), 8875426, 2020
Emotion recognition using eye-tracking: taxonomy, review and current challenges
JZ Lim, J Mountstephens, J Teo
Sensors 20 (8), 2384, 2020
Early detection of silent hypoxia in Covid-19 pneumonia using smartphone pulse oximetry
J Teo
Journal of medical systems 44 (8), 134, 2020
An industrial IoT-based blockchain-enabled secure searchable encryption approach for healthcare systems using neural network
A Ali, MA Almaiah, F Hajjej, MF Pasha, OH Fang, R Khan, J Teo, ...
Sensors 22 (2), 572, 2022
Aesthetic preference recognition of 3D shapes using EEG
LH Chew, J Teo, J Mountstephens
Cognitive neurodynamics 10, 165-173, 2016
Mental health prediction using machine learning: taxonomy, applications, and challenges
J Chung, J Teo
Applied Computational Intelligence and Soft Computing 2022 (1), 9970363, 2022
A review of recent approaches for emotion classification using electrocardiography and electrodermography signals
AF Bulagang, NG Weng, J Mountstephens, J Teo
Informatics in Medicine Unlocked 20, 100363, 2020
Self-adaptive population sizing for a tune-free differential evolution
NS Teng, J Teo, MHA Hijazi
Soft Computing 13 (7), 709-724, 2009
A true annealing approach to the marriage in honey-bees optimization algorithm
J Teo, HA Abbass
International Journal of Computational Intelligence and Applications 3 (02 …, 2003
Progress and challenges in generative product design: A review of systems
J Mountstephens, J Teo
Computers 9 (4), 80, 2020
A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
NS Suhaimi, J Mountstephens, J Teo
Big Data and Cognitive Computing 6 (1), 16, 2022
Multiobjectivity and complexity in embodied cognition
J Teo, HA Abbass
IEEE Transactions on Evolutionary Computation 9 (4), 337-360, 2005
Fast lane detection with randomized hough transform
A Saudi, J Teo, MHA Hijazi, J Sulaiman
2008 international symposium on information technology 4, 1-5, 2008
Four-class emotion classification in virtual reality using pupillometry
LJ Zheng, J Mountstephens, J Teo
Journal of Big Data 7, 1-9, 2020
Deep learning for EEG-based preference classification
J Teo, CL Hou, J Mountstephens
AIP Conference Proceedings 1891 (1), 2017
Automatic generation of controllers for embodied legged organisms: A Pareto evolutionary multi-objective approach
J Teo, HA Abbass
Evolutionary Computation 12 (3), 355-394, 2004
Multiclass emotion prediction using heart rate and virtual reality stimuli
AF Bulagang, J Mountstephens, J Teo
Journal of Big Data 8, 1-12, 2021
Classification of affective states via EEG and deep learning
J Teo, LH Chew, JT Chia, J Mountstephens
International Journal of Advanced Computer Science and Applications 9 (5), 2018
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