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2020 – today
- 2023
[c21]Teck-Hou Teng, George Rosario Jagadeesh, Thakkar Kunal, Chong Chee Chung:
Traffic State Prediction of Perturbed and Non-perturbed Traffic Scenarios. IntelliSys (1) 2023: 129-144- [i2]Srikrishna Iyer, Teck-Hou Teng:
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network. CoRR abs/2306.01999 (2023) - 2022
- [c20]George Rosario Jagadeesh
, Jielin Yang, Kien Ming Ng, Kim Leng Poh, Zhengyu Yang, Teck-Hou Teng, Zhibing Zhuo:
A Computationally Efficient Formulation for Traffic Signal Timing Optimization of an Isolated Intersection. CoDIT 2022: 821-826 - 2021
- [i1]Akihito Sudo, Teck-Hou Teng, Masaki Yamaguchi, Yoshinori Tone:
LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links. CoRR abs/2108.12165 (2021)
2010 – 2019
- 2018
- [c19]Teck-Hou Teng, Hoong Chuin Lau, Aldy Gunawan:
Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks. LION 2018: 98-114 - 2017
- [c18]Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar:
Coordinating Vessel Traffic to Improve Safety and Efficiency. AAMAS 2017: 141-149 - [c17]Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar:
A Multi-Agent System for Coordinating Vessel Traffic. AAMAS 2017: 1814-1816 - [c16]Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto:
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. PredictGIS@SIGSPATIAL 2017: 7:1-7:7 - 2016
- [c15]Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau:
Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search. LION 2016: 187-202 - [c14]Teck-Hou Teng, Shih-Fen Cheng, Trong Nghia Truong, Hoong Chuin Lau:
Managing egress of crowd during infrastructure disruption. WSC 2016: 1316-1327 - 2015
- [j3]Teck-Hou Teng, Ah-Hwee Tan, Jacek M. Zurada:
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 26(5): 889-902 (2015) - [c13]James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan:
A comparative study between motivated learning and reinforcement learning. IJCNN 2015: 1-8 - [c12]Teck-Hou Teng:
Function approximation for large markov decision processes using self-organizing neural networks. IJCNN 2015: 1-8 - [c11]Teck-Hou Teng, Ah-Hwee Tan:
Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks. WI-IAT (2) 2015: 51-58 - 2014
- [c10]Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow:
Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game. IJCNN 2014: 4229-4236 - [c9]Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow:
Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning. WI-IAT (3) 2014: 190-197 - 2013
- [b1]Teck-Hou Teng:
Cognitive information systems for context-aware decision support. Nanyang Technological University, Singapore, 2013 - [j2]Teck-Hou Teng, Ah-Hwee Tan, Loo-Nin Teow:
Adaptive computer-generated forces for simulator-based training. Expert Syst. Appl. 40(18): 7341-7353 (2013) - [c8]Teck-Hou Teng, Ah-Hwee Tan:
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning. ADPRL 2013: 132-139 - 2012
- [c7]Teck-Hou Teng, Ah-Hwee Tan, Wee-Sze Ong, Kien-Lip Lee:
Adaptive CGF for pilots training in air combat simulation. FUSION 2012: 2263-2270 - [c6]Teck-Hou Teng, Ah-Hwee Tan:
Knowledge-Based Exploration for Reinforcement Learning in Self-Organizing Neural Networks. IAT 2012: 332-339 - [c5]Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo:
Self-organizing neural networks for learning air combat maneuvers. IJCNN 2012: 1-8 - [c4]Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan:
Self-Regulating Action Exploration in Reinforcement Learning. INNS-WC 2012: 18-30
2000 – 2009
- 2009
- [j1]Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan:
Modelling situation awareness for Context-aware Decision Support. Expert Syst. Appl. 36(1): 455-463 (2009) - 2008
- [c3]Teck-Hou Teng, Ah-Hwee Tan:
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. IAT 2008: 318-321 - [c2]Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan:
Self-organizing neural models integrating rules and reinforcement learning. IJCNN 2008: 3771-3778 - 2003
- [c1]Teck-Hou Teng, Jagdish Chandra Patra, Ee-Luang Ang:
Identification and tracking of dim moving targets in FLIR using artificial neural networks. ISSPA (2) 2003: 223-226
Coauthor Index
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