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Jason Teo
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2020 – today
- 2023
- [j23]Jetli Chung, Jason Teo:
Single classifier vs. ensemble machine learning approaches for mental health prediction. Brain Informatics 10(1): 1 (2023) - [j22]Maizan Syamimi Meor Yahaya, Jason Teo:
Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience. Frontiers Appl. Math. Stat. 9 (2023) - [j21]Rahim Khan, Jason Teo, Mian Ahmad Jan, Sahil Verma, Ryan Alturki, Abdullah Gani:
A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things. IEEE Trans. Ind. Informatics 19(1): 511-518 (2023) - [j20]Le Bi, Tingting Liu, Zhen Liu, Jason Teo, Yumeng Zhao, Yanjie Chai:
Modeling heterogeneous behaviors with different strategies in a terrorist attack. Virtual Real. Intell. Hardw. 5(4): 351-365 (2023) - 2022
- [j19]Jetli Chung, Jason Teo:
Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges. Appl. Comput. Intell. Soft Comput. 2022: 9970363:1-9970363:19 (2022) - [j18]Nazmi Sofian Suhaimi, James Mountstephens, Jason Teo:
A Dataset for Emotion Recognition Using Virtual Reality and EEG (DER-VREEG): Emotional State Classification Using Low-Cost Wearable VR-EEG Headsets. Big Data Cogn. Comput. 6(1): 16 (2022) - [j17]Aitizaz Ali, Mohammed Amin Almaiah, Fahima Hajjej, Muhammad Fermi Pasha, Ong Huey Fang, Rahim Khan, Jason Teo, Muhammad Zakarya:
An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network. Sensors 22(2): 572 (2022) - 2021
- [j16]Jia Zheng Lim, James Mountstephens, Jason Teo:
Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers Neurorobotics 15: 796895 (2021) - [j15]Aaron Frederick Bulagang, James Mountstephens, Jason Teo:
Multiclass emotion prediction using heart rate and virtual reality stimuli. J. Big Data 8(1): 1-12 (2021) - [c35]Jia Zheng Lim, James Mountstephens, Jason Teo:
A Comparative Investigation of Eye Fixation-based 4-Class Emotion Recognition in Virtual Reality Using Machine Learning. ICCSCE 2021: 19-22 - [c34]Nazmi Sofian Suhaimi, James Mountstephens, Jason Teo:
Class-Based Analysis of Russell's Four-Quadrant Emotion Prediction in Virtual Reality using Multi-Layer Feedforward ANNs. ICSCA 2021: 155-161 - 2020
- [j14]Nazmi Sofian Suhaimi, James Mountstephens, Jason Teo:
EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities. Comput. Intell. Neurosci. 2020: 8875426:1-8875426:19 (2020) - [j13]James Mountstephens, Jason Teo:
Progress and Challenges in Generative Product Design: A Review of Systems. Comput. 9(4): 80 (2020) - [j12]Jia Zheng Lim, James Mountstephens, Jason Teo:
Four-class emotion classification in virtual reality using pupillometry. J. Big Data 7(1): 43 (2020) - [j11]Jia Zheng Lim, James Mountstephens, Jason Teo:
Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges. Sensors 20(8): 2384 (2020)
2010 – 2019
- 2015
- [j10]Jason Teo, Mohd. Hanafi Ahmad Hijazi, Hui Keng Lau, Salmah Fattah, Aslina Baharum:
Crossover-first differential evolution for improved global optimization in non-uniform search landscapes. Prog. Artif. Intell. 3(3-4): 129-134 (2015) - [c33]S. H. Lim, Jason Teo:
An evolved climbing SAWR: From simulation to realization with 3D printing. ASCC 2015: 1-6 - 2014
- [j9]Tse Guan Tan, Jason Teo, Patricia Anthony:
A comparative investigation of non-linear activation functions in neural controllers for search-based game AI engineering. Artif. Intell. Rev. 41(1): 1-25 (2014) - 2013
- [j8]Tse Guan Tan, Jason Teo, Chin Kim On:
Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man. Int. J. Comput. Games Technol. 2013: 170914:1-170914:7 (2013) - [c32]Tse Guan Tan, Yung Nan Yong, Chin Kim On, Jason Teo, Rayner Alfred:
Automated Evaluation for AI Controllers in Tower Defense Game Using Genetic Algorithm. M-CAIT 2013: 135-146 - 2012
- [c31]Ch'ng Siong Huat, Jason Teo:
Online evolution of offensive strategies in real-time strategy gaming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Chang Kee Tong, Chin Kim On, Jason Teo, James Mountstephens:
Game AI generation using evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c29]Kar Bin Tan, Jason Teo, Chin Kim On, Patricia Anthony:
An Evolutionary Multi-objective Optimization Approach to Computer Go Controller Synthesis. PRICAI 2012: 801-806 - 2011
- [j7]Teng Nga Sing, Jason Teo:
Evolutionary and population dynamics of 3 parents differential evolution (3PDE) using self-adaptive tuning methodologies. Nat. Comput. 10(1): 507-526 (2011) - [c28]Chang Kee Tong, Chin Kim On, Jason Teo, Aroland MConie Jilui Kiring:
Evolving Neural Controllers Using GA for Warcraft 3-Real Time Strategy Game. BIC-TA 2011: 15-20 - [c27]Chang Kee Tong, Ong Jia Hui, Jason Teo, Chin Kim On:
The Evolution of Gamebots for 3D First Person Shooter (FPS). BIC-TA 2011: 21-26 - [c26]Elias Yee, Jason Teo:
Evolutionary spiking neural networks as racing car controllers. HIS 2011: 411-416 - [c25]Tse Guan Tan, Patricia Anthony, Jason Teo, Ong Jia Hui:
Neural network ensembles for video game AI using evolutionary multi-objective optimization. HIS 2011: 605-610 - 2010
- [c24]Chin Kim On, Jason Teo:
Evolution and analysis of self-synthesized minimalist neural controllers for collective robotics using Pareto multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c23]Kar Bin Tan, Jason Teo, Patricia Anthony:
Multi-objective Evolution of Neural Go Players. DIGITEL 2010: 46-53 - [c22]Minghui Dong, Paul Y. Chan, Ling Cen, Haizhou Li, Jason Teo, Ping Jen Kua:
Phonetic segmentation of singing voice using MIDI and parallel speech. INTERSPEECH 2010: 2890-2893 - [c21]Tse Guan Tan, Jason Teo, Patricia Anthony:
A simple heuristic search method for the automatic generation of neural-based game artificial intelligence architectures in Ms. Pac-Man. ISSPA 2010: 753-756
2000 – 2009
- 2009
- [j6]Teng Nga Sing, Jason Teo, Mohd. Hanafi Ahmad Hijazi:
Self-adaptive population sizing for a tune-free differential evolution. Soft Comput. 13(7): 709-724 (2009) - [c20]Kim Soon Gan, Patricia Anthony, Jason Teo, Chin Kim On:
Deterministic Dynamic Adaptation Genetic Algorithm in Evolving Auction Bidding Strategies. GEM 2009: 152-158 - [c19]Kim Soon Gan, Patricia Anthony, Jason Teo, Chin Kim On:
Comparing the Performance of Deterministic Dynamic Adaptation GA and Self Adaptive GA in Online Auctions Environment. SMC 2009: 1393-1398 - [p2]Tse Guan Tan, Jason Teo:
Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning. Nature-Inspired Algorithms for Optimisation 2009: 457-487 - 2008
- [c18]Chin Kim On, Jason Teo, Azali Saudi:
Multi-objective artificial evolution of RF-localization behavior and neural structures in mobile robots. IEEE Congress on Evolutionary Computation 2008: 350-356 - [p1]Tse Guan Tan, Jason Teo:
Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution. Oppositional Concepts in Computational Intelligence 2008: 161-206 - 2007
- [c17]Teng Nga Sing, Jason Teo, Mohd. Hanafi Ahmad Hijazi:
Empirical testing on 3-Parents Differential Evolution (3PDE) for unconstrained function optimization. IEEE Congress on Evolutionary Computation 2007: 2259-2266 - [c16]Jason Teo, Hanafi A. Hijazi, Zaturrawiah A. Omar, Nor Rafidah Mohamad, Yunus Hamid:
Harnessing mutational diversity at multiple levels for improving optimization accuracy in G3-PCX. IEEE Congress on Evolutionary Computation 2007: 4502-4507 - [c15]Yi Jack Yau, Jason Teo, Patricia Anthony:
Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe. CIG 2007: 304-311 - [c14]Tse Guan Tan, Jason Teo, Hui Keng Lau:
Performance Scalability of a Cooperative Coevolution Multiobjective Evolutionary Algorithm. CIS 2007: 119-123 - [c13]Yi Jack Yau, Jason Teo, Patricia Anthony:
Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis. EMO 2007: 227-241 - [c12]Tse Guan Tan, Jason Teo, Hui Keng Lau:
Competitive Coevolution with K-Random Opponents for Pareto Multiobjective Optimization. ICNC (4) 2007: 63-67 - [c11]Teng Nga Sing, Jason Teo, Mohd. Hanafi Ahmad Hijazi:
Self-Adaptive Parameterization Using 3-Parents Differential Evolution. IMECS 2007: 98-103 - [c10]Chen Fei Huang, Nor Rafidah Mohamad, Jason Teo:
Ant Colony Optimization in Dynamic Environments. IMECS 2007: 104-108 - [c9]Tse Guan Tan, Hui Keng Lau, Jason Teo:
Cooperative Versus Competitive Coevolution for Pareto Multiobjective Optimization. LSMS (1) 2007: 63-72 - [c8]Jason Teo:
Investigating adaptive mutation in the generalized generation gap (G3) algorithm for unconstrained global optimization. SAC 2007: 743-744 - 2006
- [j5]Jason Teo:
Exploring dynamic self-adaptive populations in differential evolution. Soft Comput. 10(8): 673-686 (2006) - 2005
- [j4]Jason Teo, Hussein A. Abbass:
Multiobjectivity and Complexity in Embodied Cognition. IEEE Trans. Evol. Comput. 9(4): 337-360 (2005) - [c7]Jason Teo:
Differential Evolution with Self-adaptive Populations. KES (1) 2005: 1284-1290 - 2004
- [j3]Jason Teo, Hussein A. Abbass:
Automatic Generation of Controllers for Embodied Legged Organisms: A Pareto Evolutionary Multi-Objective Approach. Evol. Comput. 12(3): 355-394 (2004) - [j2]Jason Teo, Hussein A. Abbass:
An information-theoretic landscape analysis of neuro-controlled embodied organisms. Neural Comput. Appl. 13(1): 80-89 (2004) - [c6]Adrian David Cheok, Kok Hwee Goh, Wei Liu, Jason Teo, Sze Lee Teo, Farzam Farbiz, Shang Ping Lee:
Connecting the real world and virtual world through gaming. IFIP Congress Topical Sessions 2004: 45-50 - 2003
- [b1]Jason Teo:
Pareto multi-objective evolution of legged embodied organisms. Australian Defence Force Academy, Canberra, Australia, 2003 - [j1]Jason Teo, Hussein A. Abbass:
A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm. Int. J. Comput. Intell. Appl. 3(2): 199-211 (2003) - [c5]Jason Teo, Hussein A. Abbass:
Software Verification of Redundancy in Neuro-Evolutionary Robotics. Australian Conference on Artificial Intelligence 2003: 302-314 - [c4]Jason Teo, Hussein A. Abbass:
Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creatures. IEEE Congress on Evolutionary Computation 2003: 755-762 - [c3]Jason Teo, Minh Ha Nguyen, Hussein A. Abbass:
Multi-objectivity as a Tool for Constructing Hierarchical Complexity. GECCO 2003: 483-494 - [c2]Jason Teo, Hussein A. Abbass:
Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots? GECCO 2003: 1612-1613 - 2002
- [c1]Jason Teo, Hussein A. Abbass:
Evolutionary Multi-objective Robotics: Evolving a Physically Simulated quadruped using the PDE Algorithm. SEAL 2002: 466-485
Coauthor Index
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