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- affiliation: Singapore Management University
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2020 – today
- 2023
[j70]Tianze Luo
, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. IEEE Access 11: 15680-15692 (2023)- [j69]Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan:
Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph. Cogn. Comput. 15(1): 337-347 (2023) - [j68]Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan:
MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis. Expert Syst. Appl. 217: 119492 (2023) - [c133]Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan:
Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. AAMAS 2023: 2325-2327 - 2022
- [j67]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Hierarchical Reinforcement Learning: A Comprehensive Survey. ACM Comput. Surv. 54(5): 109:1-109:35 (2022) - [j66]Seng-Khoon Teh, Iris Rawtaer, Ah-Hwee Tan:
Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment. Expert Syst. Appl. 205: 117538 (2022) - [j65]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin:
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models. Neural Comput. Appl. 34(17): 14859-14879 (2022) - [j64]Wai-Cheong Lincoln Lew, Di Wang, Kai Keng Ang, Joo-Hwee Lim, Chai Quek, Ah-Hwee Tan:
EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary Signals. IEEE Trans. Affect. Comput. 13(4): 1827-1839 (2022) - [j63]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7101-7113 (2022) - [j62]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7778-7790 (2022) - [e9]Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett:
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. IEEE 2022, ISBN 978-1-6654-8768-9 [contents] - 2021
- [j61]Weigui Jair Zhou, Budhitama Subagdja, Ah-Hwee Tan, Darren Wee Sze Ong:
Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games. Expert Syst. Appl. 186: 115707 (2021) - [j60]Shan Gao, Ah-Hwee Tan, Rossi Setchi:
Learning ADL Daily Routines with Spatiotemporal Neural Networks. IEEE Trans. Knowl. Data Eng. 33(1): 143-153 (2021) - [c132]Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan:
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method. ICTAI 2021: 1002-1007 - [c131]Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Interpretable Goal Recognition for Path Planning with ART Networks. IJCNN 2021: 1-8 - 2020
- [j59]Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou:
Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution. IEEE Access 8: 110336-110350 (2020) - [j58]Yizhang Wang, Di Wang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou:
A systematic density-based clustering method using anchor points. Neurocomputing 400: 352-370 (2020) - [j57]Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou:
McDPC: multi-center density peak clustering. Neural Comput. Appl. 32(17): 13465-13478 (2020) - [j56]Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CoRRN: Cooperative Reflection Removal Network. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2969-2982 (2020) - [c130]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. AAMAS 2020: 1963-1965 - [c129]Wai-Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan:
EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU. EMBC 2020: 116-119 - [c128]Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan:
Who Am I?: Towards Social Self-Awareness for Intelligent Agents. IJCAI 2020: 4396-4402 - [i4]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. CoRR abs/2010.00187 (2020)
2010 – 2019
- 2019
- [b1]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II:
Adaptive Resonance Theory in Social Media Data Clustering - Roles, Methodologies, and Applications. Advanced Information and Knowledge Processing, Springer 2019, ISBN 978-3-030-02984-5, pp. 3-179 - [j55]Budhitama Subagdja, Ah-Hwee Tan, Yilin Kang:
A coordination framework for multi-agent persuasion and adviser systems. Expert Syst. Appl. 116: 31-51 (2019) - [j54]Milan Deepak Parmar, Di Wang, Xiaofeng Zhang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou:
REDPC: A residual error-based density peak clustering algorithm. Neurocomputing 348: 82-96 (2019) - [j53]Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng:
Self-organizing neural networks for universal learning and multimodal memory encoding. Neural Networks 120: 58-73 (2019) - [j52]Lei Meng, Ah-Hwee Tan, Chunyan Miao:
Salience-aware adaptive resonance theory for large-scale sparse data clustering. Neural Networks 120: 143-157 (2019) - [j51]Youlu Xing, Xiaofeng Shi, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan:
Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1104-1118 (2019) - [c127]Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. AAAI 2019: 1368-1375 - [c126]Budhitama Subagdja, Ah-Hwee Tan:
Beyond Autonomy: The Self and Life of Social Agents. AAMAS 2019: 1654-1658 - [c125]Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan:
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. ICA 2019: 2-7 - [c124]Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. ICA 2019: 99-102 - [c123]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. SSCI 2019: 86-93 - [e8]Alexander Balinsky, Ah-Hwee Tan, Wernhuar Tarng:
AISS 2019: 2019 International Conference on Advanced Information Science and System, Singapore, November 15-17, 2019. ACM 2019, ISBN 978-1-4503-7291-6 [contents] - 2018
- [j50]Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou:
An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings. Neurocomputing 319: 102-117 (2018) - [j49]Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Wen Gao, Alex C. Kot:
Region-Aware Reflection Removal With Unified Content and Gradient Priors. IEEE Trans. Image Process. 27(6): 2927-2941 (2018) - [c122]Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan:
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. AAAI 2018: 4318-4325 - [c121]Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. CVPR 2018: 4777-4785 - [c120]Zhepei Wei, Di Wang, Ming Zhang, Ah-Hwee Tan, Chunyan Miao, You Zhou:
Autonomous Agents in Snake Game via Deep Reinforcement Learning. ICA 2018: 20-25 - [c119]Peng Wang, Weigui Jair Zhou, Di Wang, Ah-Hwee Tan:
Probabilistic Guided Exploration for Reinforcement Learning in Self-Organizing Neural Networks. ICA 2018: 109-112 - [c118]Di Wang, Evan Wu, Ah-Hwee Tan:
Analysis of Public Transportation Patterns in a Densely Populated City with Station-based Shared Bikes. ICCSE 2018: 8:1-8:8 - [c117]Poo-Hee Chang, Ah-Hwee Tan:
Learning Generalized Video Memory for Automatic Video Captioning. MIWAI 2018: 187-201 - [c116]Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. ACM Multimedia 2018: 10-17 - [e7]Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama:
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018 [contents] - [i3]Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. CoRR abs/1805.11802 (2018) - [i2]Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. CoRR abs/1808.02289 (2018) - 2017
- [j48]Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan:
Summarization of Egocentric Videos: A Comprehensive Survey. IEEE Trans. Hum. Mach. Syst. 47(1): 65-76 (2017) - [j47]Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow:
Semantic Memory Modeling and Memory Interaction in Learning Agents. IEEE Trans. Syst. Man Cybern. Syst. 47(11): 2882-2895 (2017) - [c115]Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
Active Video Summarization: Customized Summaries via On-line Interaction with the User. AAAI 2017: 4046-4052 - [c114]Budhitama Subagdja, Ah-Hwee Tan:
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. AAAI 2017: 4452-4458 - [c113]Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
On Active Video Summarization: Customized Summaries via On-Line Interaction with the User. AAAI Spring Symposia 2017 - [c112]Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao:
EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing. BI 2017: 83-92 - [c111]Di Wang, Xinjia Yu, Simon Fauvel, Ah-Hwee Tan, Chunyan Miao:
Elderly friendliness evaluation of mobile assistants. ICA 2017: 115-120 - [c110]Di Wang, Ah-Hwee Tan:
eHealthPortal: A Social Support Hub for the Active Living of the Elderly. ICCSE 2017: 19-25 - [c109]Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
Benchmarking Single-Image Reflection Removal Algorithms. ICCV 2017: 3942-3950 - [c108]Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot:
Sparsity based reflection removal using external patch search. ICME 2017: 1500-1505 - [c107]Poo-Hee Chang, Ah-Hwee Tan:
Encoding and Recall of Spatio-Temporal Episodic Memory in Real Time. IJCAI 2017: 1490-1496 - [c106]Milan Deepak Parmar, Di Wang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou:
A novel density peak clustering algorithm based on squared residual error. SPAC 2017: 43-48 - [c105]Di Wang, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Geok See Ng, You Zhou:
Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system. SPAC 2017: 55-60 - [c104]Di Wang, Edwin Candinegara, Junhui Hou, Ah-Hwee Tan, Chunyan Miao:
Robust human activity recognition using lesser number of wearable sensors. SPAC 2017: 290-295 - 2016
- [j46]Shu Feng, Ah-Hwee Tan:
Towards autonomous behavior learning of non-player characters in games. Expert Syst. Appl. 56: 89-99 (2016) - [j45]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Social context cognition crowd-sourcing and semi-automatic parametrization. Comput. Animat. Virtual Worlds 27(3-4): 330-339 (2016) - [j44]Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim, Siwei Jiang:
Band selection for hyperspectral images using probabilistic memetic algorithm. Soft Comput. 20(12): 4685-4693 (2016) - [j43]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch:
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2656-2669 (2016) - [j42]Budhitama Subagdja, Ah-Hwee Tan:
Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 46(12): 1724-1735 (2016) - [c103]Di Wang, Ah-Hwee Tan, Chunyan Miao:
Modeling Autobiographical Memory in Human-Like Autonomous Agents. AAMAS 2016: 845-853 - [c102]Shan Gao, Ah-Hwee Tan:
An Autonomous Agent for Learning Spatiotemporal Models of Human Daily Activities: (Extended Abstract). AAMAS 2016: 1453-1454 - [c101]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Modeling human-like non-rationality for social agents. CASA 2016: 11-20 - [c100]Zhiwei Zeng, Di Wang, Ailiya Borjigin, Chunyan Miao, Ah-Hwee Tan, Cyril Leung:
Human-Centred Design for Silver Assistants. ICA 2016: 112-113 - [c99]Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot:
Depth of field guided reflection removal. ICIP 2016: 21-25 - [c98]Di Wang, Ah-Hwee Tan:
Self-regulated incremental clustering with focused preferences. IJCNN 2016: 1297-1304 - 2015
- [j41]Budhitama Subagdja, Ah-Hwee Tan:
Neural modeling of sequential inferences and learning over episodic memory. Neurocomputing 161: 229-242 (2015) - [j40]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Dramaturgical and dissonance theories in explicit social context modeling for complex agents. Comput. Animat. Virtual Worlds 26(3-4): 247-257 (2015) - [j39]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang:
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Comput. 7(3): 159-180 (2015) - [j38]Di Wang, Ah-Hwee Tan:
Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game. IEEE Trans. Comput. Intell. AI Games 7(2): 123-138 (2015) - [j37]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) - [c97]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Beyond Traits: Social Context Based Personality Model. AAMAS 2015: 1529-1538 - [c96]Yilin Kang, Ah-Hwee Tan:
MAP: A Computational Model for Adaptive Persuasion. AAMAS 2015: 1871-1872 - [c95]Yilin Kang, Ah-Hwee Tan, Chunyan Miao:
An Adaptive Computational Model for Personalized Persuasion. IJCAI 2015: 61-67 - [c94]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 - [c93]Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua, Chunyan Miao:
Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections. ICMR 2015: 219-226 - [c92]Teck-Hou Teng, Ah-Hwee Tan:
Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks. WI-IAT (2) 2015: 51-58 - [c91]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan:
Silver Assistants for Aging-in-Place. WI-IAT (3) 2015: 241-242 - [c90]Di Wang, Ah-Hwee Tan:
MyLife: An Online Personal Memory Album. WI-IAT (3) 2015: 243-244 - [c89]Budhitama Subagdja, Ah-Hwee Tan:
Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care. WI-IAT (2) 2015: 352-359 - [c88]Shan Gao, Di Wang, Ah-Hwee Tan, Chunyan Miao:
Progressive Sequence Matching for ADL Plan Recommendation. WI-IAT (2) 2015: 360-367 - [c87]Di Wang, Ah-Hwee Tan, Daqing Zhang:
Non-Intrusive Robust Human Activity Recognition for Diverse Age Groups. WI-IAT (2) 2015: 368-375 - 2014
- [j36]Lei Meng, Ah-Hwee Tan, Dong Xu:
Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-Clustering. IEEE Trans. Knowl. Data Eng. 26(9): 2293-2306 (2014) - [c86]Budhitama Subagdja, Ah-Hwee Tan:
On coordinating pervasive persuasive agents. AAMAS 2014: 1467-1468 - [c85]Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow, Yuan-Sin Tan:
Declarative-procedural memory interaction in learning agents. AAMAS 2014: 1475-1476 - [c84]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan, Daqing Zhang:
Towards intelligent caring agents for Aging-In-Place: Issues and challenges. CIHLI 2014: 102-109 - [c83]Shan Gao, Ah-Hwee Tan:
User daily activity pattern learning: A multi-memory modeling approach. IJCNN 2014: 1542-1548 - [c82]Di Wang, Ah-Hwee Tan:
Mobile humanoid agent with mood awareness for elderly care. IJCNN 2014: 1549-1556 - [c81]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 - [c80]Lei Meng, Ah-Hwee Tan:
Community Discovery in Social Networks via Heterogeneous Link Association and Fusion. SDM 2014: 803-811 - [c79]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 - [e6]Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe:
Brain Informatics and Health - International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. Lecture Notes in Computer Science 8609, Springer 2014, ISBN 978-3-319-09890-6 [contents] - 2013
- [j35]Dan Xiao, Ah-Hwee Tan:
Cooperative reinforcement learning in topology-based multi-agent systems. Auton. Agents Multi Agent Syst. 26(1): 86-119 (2013) - [j34]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) - [j33]Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo:
Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Comput. Appl. 22(3-4): 469-477 (2013) - [c78]Teck-Hou Teng, Ah-Hwee Tan:
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning. ADPRL 2013: 132-139 - [c77]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Enabling generative, emergent artificial culture. AAMAS 2013: 789-792 - [c76]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch:
Vigilance adaptation in adaptive resonance theory. IJCNN 2013: 1-7 - [c75]Yilin Kang, Ah-Hwee Tan:
Self-organizing Cognitive Models for Virtual Agents. IVA 2013: 29-43 - [e5]Juan Carlos Augusto, Reiner Wichert, Rem W. Collier, David V. Keyson, Albert Ali Salah, Ah-Hwee Tan:
Ambient Intelligence - 4th International Joint Conference, AmI 2013, Dublin, Ireland, December 3-5, 2013. Proceedings. Lecture Notes in Computer Science 8309, Springer 2013, ISBN 978-3-319-03646-5 [contents] - 2012
- [j32]Janusz A. Starzyk, James T. Graham, Pawel Raif, Ah-Hwee Tan:
Motivated learning for the development of autonomous systems. Cogn. Syst. Res. 14(1): 10-25 (2012) - [j31]Budhitama Subagdja, Ah-Hwee Tan:
iFALCON: A neural architecture for hierarchical planning. Neurocomputing 86: 124-139 (2012) - [j30]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
A non-parametric visual-sense model of images - extending the cluster hypothesis beyond text. Multim. Tools Appl. 56(3): 509-534 (2012) - [j29]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1574-1586 (2012) - [c74]Budhitama Subagdja, Wenwen Wang, Ah-Hwee Tan, Yuan-Sin Tan, Loo-Nin Teow:
Memory formation, consolidation, and forgetting in learning agents. AAMAS 2012: 1007-1014 - [c73]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Virtual characters in agent-augmented co-space (demonstration). AAMAS 2012: 1465-1466 - [c72]Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan:
An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c71]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 - [c70]Yilin Kang, Ah-Hwee Tan, Fiona Fui-Hoon Nah:
Agent-Based Virtual Humans in Co-Space: An Evaluative Study. IAT 2012: 59-66 - [c69]Teck-Hou Teng, Ah-Hwee Tan:
Knowledge-Based Exploration for Reinforcement Learning in Self-Organizing Neural Networks. IAT 2012: 332-339 - [c68]Yilin Kang, Fiona Fui-Hoon Nah, Ah-Hwee Tan:
Investigating Intelligent Agents in a 3D Virtual World. ICIS 2012 - [c67]Lei Meng, Ah-Hwee Tan:
Semi-supervised hierarchical clustering for personalized web image organization. IJCNN 2012: 1-8 - [c66]Feng Shu, Ah-Hwee Tan:
A biologically-inspired affective model based on cognitive situational appraisal. IJCNN 2012: 1-8 - [c65]