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- affiliation: Singapore Management University
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2020 – today
- 2024
[j75]Budhitama Subagdja
, D. Shanthoshigaa, Zhaoxia Wang, Ah-Hwee Tan:
Machine Learning for Refining Knowledge Graphs: A Survey. ACM Comput. Surv. 56(6): 156:1-156:38 (2024)- [j74]Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning. Expert Syst. Appl. 252: 124117 (2024) - [j73]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10288-10300 (2024) - [c136]Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. AAMAS 2024: 2279-2281 - [c135]Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. AAMAS 2024: 2537-2539 - [c134]Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction. IJCNN 2024: 1-8 - 2023
- [j72]Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. IEEE Access 11: 15680-15692 (2023) - [j71]Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao:
Conference Report on 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) [Conference Reports]. IEEE Comput. Intell. Mag. 18(3): 6-9 (2023) - [j70]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) - [j69]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) - [j68]Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan:
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis. Neural Comput. Appl. 35(21): 15907-15921 (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 - [i5]Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji:
Deep Reinforcement Learning with Explicit Context Representation. CoRR abs/2310.09924 (2023) - 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]Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo:
Self-organizing neural networks for learning air combat maneuvers. IJCNN 2012: 1-8 - [c64]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Yuan-Sin Tan:
A self-organizing multi-memory system for autonomous agents. IJCNN 2012: 1-8 - [c63]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
Topic Based Query Suggestions for Video Search. MMM 2012: 288-299 - [c62]Choon Sing Ho, Yew-Soon Ong, Xianshun Chen, Ah-Hwee Tan:
FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development. SEAL 2012: 258-269 - [c61]Jonathan H. Chan, Ah-Hwee Tan:
Preface: Trends in Natural and Machine Intelligence. INNS-WC 2012: 1-6 - [c60]Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan:
Self-Regulating Action Exploration in Reinforcement Learning. INNS-WC 2012: 18-30 - [e4]Jonathan H. Chan, Ah-Hwee Tan:
Proceedings of the 3rd International Neural Network Society Winter Conference, INNS-WC 2012, Bangkok, Thailand, October 3-5, 2012. Procedia Computer Science 13, Elsevier 2012 [contents] - [i1]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang:
Meme as Building Block for Evolutionary Optimization of Problem Instances. CoRR abs/1207.0702 (2012) - 2011
- [j28]Ah-Hwee Tan, Yew-Soon Ong, Akejariyawong Tapanuj:
A hybrid agent architecture integrating desire, intention and reinforcement learning. Expert Syst. Appl. 38(7): 8477-8487 (2011) - [c59]Han Yu, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
A simple curious agent to help people be curious. AAMAS 2011: 1159-1160 - [c58]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen:
Towards human-like social multi-agents with memetic automaton. IEEE Congress on Evolutionary Computation 2011: 1092-1099 - [c57]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Learning Feature Dependencies for Noise Correction in Biomedical Prediction. SDM 2011: 71-82 - 2010
- [j27]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen, Boyang Li:
Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. IEEE Computer Graphics and Applications 30(2): 58-70 (2010) - [j26]Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong:
A self-organizing neural architecture integrating desire, intention and reinforcement learning. Neurocomputing 73(7-9): 1465-1477 (2010) - [j25]Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan:
Wikipedia2Onto. Building Concept Ontology Automatically, Experimenting with Web Image Retrieval. Informatica (Slovenia) 34(3): 297-306 (2010) - [j24]Xing Jiang, Ah-Hwee Tan:
CRCTOL: A semantic-based domain ontology learning system. J. Assoc. Inf. Sci. Technol. 61(1): 150-168 (2010) - [c56]Ah-Hwee Tan, Yilin Kang:
Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace. ATC 2010: 298-312 - [c55]Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan:
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c54]Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Youth Olympic Village Co-space. CW 2010: 200-207 - [c53]Yilin Kang, Ah-Hwee Tan:
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds. IAT 2010: 173-180 - [c52]Ah-Hwee Tan, Gee Wah Ng:
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning. IAT 2010: 248-251 - [c51]Yundong Cai, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
DIRACT: Agent-Based Interactive Storytelling. IAT 2010: 273-276 - [c50]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
Faceted topic retrieval of news video using joint topic modeling of visual features and speech transcripts. ICME 2010: 843-848 - [c49]Shu Feng, Ah-Hwee Tan:
Self-organizing neural networks for behavior modeling in games. IJCNN 2010: 1-8 - [c48]Yilin Kang, Ah-Hwee Tan:
Self-organizing agents for reinforcement learning in virtual worlds. IJCNN 2010: 1-8 - [c47]Janusz A. Starzyk, Pawel Raif, Ah-Hwee Tan:
Mental development and representation building through motivated learning. IJCNN 2010: 1-8 - [c46]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
A self-organizing approach to episodic memory modeling. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j23]Xing Jiang, Hui Xiong, Chen Wang, Ah-Hwee Tan:
Mining globally distributed frequent subgraphs in a single labeled graph. Data Knowl. Eng. 68(10): 1034-1058 (2009) - [j22]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) - [j21]Xing Jiang, Ah-Hwee Tan:
Learning and inferencing in user ontology for personalized Semantic Web search. Inf. Sci. 179(16): 2794-2808 (2009) - [j20]Tao Jiang, Ah-Hwee Tan:
Learning Image-Text Associations. IEEE Trans. Knowl. Data Eng. 21(2): 161-177 (2009) - [j19]Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, Ah-Hwee Tan:
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval. IEEE Trans. Multim. 11(8): 1434-1445 (2009) - [c45]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
Modeling Believable Virtual Characters with Evolutionary Fuzzy Cognitive Maps in Interactive Storytelling. AAAI Spring Symposium: Intelligent Narrative Technologies II 2009: 5-11 - [c44]Budhitama Subagdja, Ah-Hwee Tan:
A self-organizing neural network architecture for intentional planning agents. AAMAS (2) 2009: 1081-1088 - [c43]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, Sujoy Roy:
A Latent Model for Visual Disambiguation of Keyword-based Image Search. BMVC 2009: 1-9 - [c42]Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim:
A Bayesian approach integrating regional and global features for image semantic learning. ICME 2009: 546-549 - [e3]Daqing Zhang, Marius Portmann, Ah-Hwee Tan, Jadwiga Indulska:
Ubiquitous Intelligence and Computing, 6th International Conference, UIC 2009, Brisbane, Australia, July 7-9, 2009. Proceedings. Lecture Notes in Computer Science 5585, Springer 2009, ISBN 978-3-642-02829-8 [contents] - 2008
- [j18]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Explaining inferences in Bayesian networks. Appl. Intell. 29(3): 263-278 (2008) - [j17]Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu:
A fast pruned-extreme learning machine for classification problem. Neurocomputing 72(1-3): 359-366 (2008) - [j16]Ah-Hwee Tan, N. Lu, Dan Xiao:
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback. IEEE Trans. Neural Networks 19(2): 230-244 (2008) - [c41]Luong-Dong Nguyen, Kia-Yan Woon, Ah-Hwee Tan:
A self-organizing neural model for multimedia information fusion. FUSION 2008: 1-7 - [c40]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
Context modeling with Evolutionary Fuzzy Cognitive Map in interactive storytelling. FUZZ-IEEE 2008: 2320-2325 - [c39]Budhitama Subagdja, Ah-Hwee Tan:
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. IAT 2008: 231-237 - [c38]Teck-Hou Teng, Ah-Hwee Tan:
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. IAT 2008: 318-321 - [c37]Dan Xiao, Ah-Hwee Tan:
Scaling Up Multi-agent Reinforcement Learning in Complex Domains. IAT 2008: 326-329 - [c36]Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan:
Self-organizing neural models integrating rules and reinforcement learning. IJCNN 2008: 3771-3778 - [c35]Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan:
Ontology enhanced web image retrieval: aided by wikipedia & spreading activation theory. Multimedia Information Retrieval 2008: 195-201 - 2007
- [j15]Hui-Qing Chong, Ah-Hwee Tan, Gee Wah Ng:
Integrated cognitive architectures: a survey. Artif. Intell. Rev. 28(2): 103-130 (2007) - [j14]Tao Jiang, Ah-Hwee Tan, Ke Wang:
Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Trans. Knowl. Data Eng. 19(2): 164-179 (2007) - [j13]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Trans. Knowl. Data Eng. 19(7): 977-992 (2007) - [j12]Dan Xiao, Ah-Hwee Tan:
Self-Organizing Neural Architectures and Cooperative Learning in a Multiagent Environment. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1567-1580 (2007) - [c34]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. AAAI 2007: 354-359 - [c33]Yundong Cai, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
S-MADE: Interactive Storytelling Architecture through Goal Execution and Decomposition. AAAI Fall Symposium: Intelligent Narrative Technologies 2007: 17-20 - [c32]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
A Hybrid of Plot-Based and Character-Based Interactive Storytelling. Edutainment 2007: 260-273 - [c31]Ah-Hwee Tan:
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. IJCAI 2007: 1071-1076 - [c30]Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg:
Intelligence Through Interaction: Towards a Unified Theory for Learning. ISNN (1) 2007: 1094-1103 - [c29]Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-Hwee Tan:
Integrating Semantic Templates with Decision Tree for Image Semantic Learning. MMM (2) 2007: 185-195 - [c28]Hengjie Song, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan, Guopeng Zhao:
The Multi-Agent Data Collection in HLA-Based Simulation System. PADS 2007: 61-69 - 2006
- [c27]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
Fuzzy cognitive goal net for interactive storytelling plot design. Advances in Computer Entertainment Technology 2006: 56 - [c26]Xing Jiang, Ah-Hwee Tan:
OntoSearch: A Full-Text Search Engine for the Semantic Web. AAAI 2006: 1325-1330 - [c25]Tao Jiang, Ah-Hwee Tan:
Mining RDF Metadata for Generalized Association Rules. DEXA 2006: 223-233 - [c24]Ah-Hwee Tan:
Self-organizing Neural Architecture for Reinforcement Learning. ISNN (1) 2006: 470-475 - [c23]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Discovering Causal Dependencies in Mobile Context-Aware Recommenders. MDM 2006: 4 - [c22]Tao Jiang, Ah-Hwee Tan:
Discovering Image-Text Associations for Cross-Media Web Information Fusion. PKDD 2006: 561-568 - [c21]Samin Karim, Liz Sonenberg, Ah-Hwee Tan:
A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. PRICAI 2006: 200-211 - [c20]Quang Tran, Juki Wirawan Tantra, Chuan Heng Foh, Ah-Hwee Tan, Kin Choong Yow, Dongyu Qiu:
Wireless Indoor Positioning System with Enhanced Nearest Neighbors in Signal Space Algorithm. VTC Fall 2006: 1-5 - [c19]Tao Jiang, Ah-Hwee Tan:
Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. WWW 2006: 951-952 - [c18]Xing Jiang, Ah-Hwee Tan:
Learning and inferencing in user ontology for personalized semantic web services. WWW 2006: 1067-1068 - [e2]Jinyan Li, Qiang Yang, Ah-Hwee Tan:
Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings. Lecture Notes in Computer Science 3916, Springer 2006, ISBN 3-540-33104-2 [contents] - 2005
- [j11]Ah-Hwee Tan, Hong Pan:
Predictive neural networks for gene expression data analysis. Neural Networks 18(3): 297-306 (2005) - [c17]Ah-Hwee Tan, Dan Xiao:
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment. IAT 2005: 351-357 - [c16]Xing Jiang, Ah-Hwee Tan:
Mining Ontological Knowledge from Domain-Specific Text Documents. ICDM 2005: 665-668 - [c15]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Dynamically-optimized context in recommender systems. Mobile Data Management 2005: 265-272 - 2004
- [j10]Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng, Qiu-Xiang Li:
Towards personalised web intelligence. Knowl. Inf. Syst. 6(5): 595-616 (2004) - [j9]Ji He, Ah-Hwee Tan, Chew Lim Tan:
Modified ART 2A growing network capable of generating a fixed number of nodes. IEEE Trans. Neural Networks 15(3): 728-737 (2004) - 2003
- [j8]Ah-Hwee Tan, Philip S. Yu:
Guest Editorial: Text and Web Mining. Appl. Intell. 18(3): 239-241 (2003) - [j7]Ji He, Ah-Hwee Tan, Chew Lim Tan:
On Machine Learning Methods for Chinese Document Categorization. Appl. Intell. 18(3): 311-322 (2003) - [c14]Kanagasabai Rajaraman, Ah-Hwee Tan:
Mining Semantic Networks for Knowledge Discovery. ICDM 2003: 633-636 - [p2]Ji He, Ah-Hwee Tan, Chew Lim Tan, Sam Yuan Sung:
On Quantitative Evaluation of Clustering Systems. Clustering and Information Retrieval 2003: 105-134 - [p1]Vijjappu Lakshmi, Ah-Hwee Tan, Chew Lim Tan:
Web Structure Analysis for Information Mining. Web Document Analysis 2003: 39-57 - 2002
- [j6]Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li:
Organizing and personalizing intelligence gathering from the web. Intell. Syst. Account. Finance Manag. 11(1): 9-21 (2002) - [c13]Kanagasabai Rajaraman, Ah-Hwee Tan:
Knowledge discovery from texts: a concept frame graph approach. CIKM 2002: 669-671 - [c12]Ah-Hwee Tan:
Personalized information management for Web intelligence. FUZZ-IEEE 2002: 1045-1050 - [c11]Ah-Hwee Tan, Hong Pan:
Adding Personality to Information Clustering. PAKDD 2002: 251-256 - 2001
- [c10]Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li:
FOCI: Flexible Organizer for Competitive Intelligence. CIKM 2001: 523-525 - [c9]Ah-Hwee Tan:
Predictive Self-Organizing Networks for Text Categorization. PAKDD 2001: 66-77 - [c8]Kanagasabai Rajaraman, Ah-Hwee Tan:
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. PAKDD 2001: 102-107 - 2000
- [c7]Ah-Hwee Tan, Hui-Shin Vivien Soon:
Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. PAKDD 2000: 173-176 - [c6]Ji He, Ah-Hwee Tan, Chew Lim Tan:
A Comparative Study on Chinese Text Categorization Methods. PRICAI Workshop on Text and Web Mining 2000: 24-35 - [e1]Ah-Hwee Tan, Philip S. Yu:
Proceedings of the International Workshop on Text and Web Mining, Melbourne, Australia, August 2000. 2000 [contents]
1990 – 1999
- 1997
- [j5]Ah-Hwee Tan, Loo-Nin Teow:
Inductive neural logic network and the SCM algorithm. Neurocomputing 14(2): 157-176 (1997) - [j4]Ah-Hwee Tan:
Cascade ARTMAP: integrating neural computation and symbolic knowledge processing. IEEE Trans. Neural Networks 8(2): 237-250 (1997) - 1996
- [j3]Ah-Hwee Tan, Hui-Shin Vivien Soon:
Concept Hierarchy Memory Model: a Neural Architecture for Conceptual Knowledge Representation, Learning, and Commonsense Reasoning. Int. J. Neural Syst. 7(3): 305- (1996) - [c5]Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan, Ho-Chung Lui:
An Application of Hierarchical Knowledge Integration in Hand-Written Form Processing. PRICAI 1996: 169-180 - 1995
- [j2]Ah-Hwee Tan:
Adaptive resonance associative map. Neural Networks 8(3): 437-446 (1995) - [c4]Ah-Hwee Tan, Loo-Nin Teow:
Learning by supervised clustering and matching. ICNN 1995: 242-246 - [c3]Loo-Nin Teow, Ah-Hwee Tan:
Adaptive integration of multiple experts. ICNN 1995: 1215-1220 - [c2]Ah-Hwee Tan:
Integrating rules and neural computation. ICNN 1995: 1794-1799 - 1991
- [j1]Boon Toh Low, H. C. Lui, Ah-Hwee Tan, H. H. Teh:
Connectionist Expert System with Adaptive Learning Capability. IEEE Trans. Knowl. Data Eng. 3(2): 200-207 (1991) - 1990
- [c1]Ah-Hwee Tan, Q. Pan, H. C. Lui, H. H. Teh:
INSIDE: a neuronet based hardware fault diagnostic system. IJCNN 1990: 63-68
Coauthor Index
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