default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAh-Hwee Tan
Person information
- affiliation: Singapore Management University
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j77]Shubham Pateria
, Budhitama Subagdja, Ah-Hwee Tan:
FedART: A neural model integrating federated learning and adaptive resonance theory. Neural Networks 181: 106845 (2025)- [j76]Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji:
Deep Reinforcement Learning With Explicit Context Representation. IEEE Trans. Neural Networks Learn. Syst. 36(1): 419-432 (2025) - [c140]Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. ICLR 2025 - 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) - [c139]Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. AAMAS 2024: 2279-2281 - [c138]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 - [c137]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 - [c136]Budhitama Subagdja, Sanchari Dan, Ah-Hwee Tan:
Self-Supervised Fine-Tuning for Neural Expert Finding. WI/IAT 2024: 38-45 - [d4]Ah-Hwee Tan, Budhitama Subagdja, D. Shanthoshigaa, Weng-Yan Ying, Iris Rawtaer:
SINEW 15 Biomarker Dataset. IEEE DataPort, 2024
- [d3]Ah-Hwee Tan, Budhitama Subagdja, D. Shanthoshigaa, Weng-Yan Ying, Iris Rawtaer:
SINEW 15 - Monthly Biomarker Dataset. IEEE DataPort, 2024 - [d2]Ah-Hwee Tan, Budhitama Subagdja, Weng-Yan Ying, D. Shanthoshigaa, Iris Rawtaer:
SINEW 15 2023. IEEE DataPort, 2024 - [d1]Ah-Hwee Tan, Budhitama Subagdja, Weng-Yan Ying, D. Shanthoshigaa, Iris Rawtaer:
SINEW 15 - Weekly Biomarker Dataset. IEEE DataPort, 2024 - [i6]Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. CoRR abs/2411.04679 (2024) - 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) - [c135]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) - [c134]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 - [c133]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) - [c132]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. AAMAS 2020: 1963-1965 - [c131]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 - [c130]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) - [c129]Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. AAAI 2019: 1368-1375 - [c128]Budhitama Subagdja, Ah-Hwee Tan:
Beyond Autonomy: The Self and Life of Social Agents. AAMAS 2019: 1654-1658 - [c127]Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan:
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. ICA 2019: 2-7 - [c126]Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. ICA 2019: 99-102 - [c125]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) - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [c120]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 - [c119]Poo-Hee Chang, Ah-Hwee Tan:
Learning Generalized Video Memory for Automatic Video Captioning. MIWAI 2018: 187-201 - [c118]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) - [c117]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 - [c116]Budhitama Subagdja, Ah-Hwee Tan:
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. AAAI 2017: 4452-4458 - [c115]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 - [c114]Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao:
EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing. BI 2017: 83-92 - [c113]Di Wang, Xinjia Yu, Simon Fauvel, Ah-Hwee Tan, Chunyan Miao:
Elderly friendliness evaluation of mobile assistants. ICA 2017: 115-120 - [c112]Di Wang, Ah-Hwee Tan:
eHealthPortal: A Social Support Hub for the Active Living of the Elderly. ICCSE 2017: 19-25 - [c111]Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
Benchmarking Single-Image Reflection Removal Algorithms. ICCV 2017: 3942-3950 - [c110]Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot:
Sparsity based reflection removal using external patch search. ICME 2017: 1500-1505 - [c109]Poo-Hee Chang, Ah-Hwee Tan:
Encoding and Recall of Spatio-Temporal Episodic Memory in Real Time. IJCAI 2017: 1490-1496 - [c108]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 - [c107]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 - [c106]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) - [c105]Di Wang, Ah-Hwee Tan, Chunyan Miao:
Modeling Autobiographical Memory in Human-Like Autonomous Agents. AAMAS 2016: 845-853 - [c104]Shan Gao, Ah-Hwee Tan:
An Autonomous Agent for Learning Spatiotemporal Models of Human Daily Activities: (Extended Abstract). AAMAS 2016: 1453-1454 - [c103]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Modeling human-like non-rationality for social agents. CASA 2016: 11-20 - [c102]Zhiwei Zeng, Di Wang, Ailiya Borjigin, Chunyan Miao, Ah-Hwee Tan, Cyril Leung:
Human-Centred Design for Silver Assistants. ICA 2016: 112-113 - [c101]Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot:
Depth of field guided reflection removal. ICIP 2016: 21-25 - [c100]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) - [c99]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Beyond Traits: Social Context Based Personality Model. AAMAS 2015: 1529-1538 - [c98]Yilin Kang, Ah-Hwee Tan:
MAP: A Computational Model for Adaptive Persuasion. AAMAS 2015: 1871-1872 - [c97]Yilin Kang, Ah-Hwee Tan, Chunyan Miao:
An Adaptive Computational Model for Personalized Persuasion. IJCAI 2015: 61-67 - [c96]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 - [c95]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 - [c94]Teck-Hou Teng, Ah-Hwee Tan:
Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks. WI-IAT (2) 2015: 51-58 - [c93]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan:
Silver Assistants for Aging-in-Place. WI-IAT (3) 2015: 241-242 - [c92]Di Wang, Ah-Hwee Tan:
MyLife: An Online Personal Memory Album. WI-IAT (3) 2015: 243-244 - [c91]Budhitama Subagdja, Ah-Hwee Tan:
Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care. WI-IAT (2) 2015: 352-359 - [c90]Shan Gao, Di Wang, Ah-Hwee Tan, Chunyan Miao:
Progressive Sequence Matching for ADL Plan Recommendation. WI-IAT (2) 2015: 360-367 - [c89]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) - [c88]Budhitama Subagdja, Ah-Hwee Tan:
On coordinating pervasive persuasive agents. AAMAS 2014: 1467-1468 - [c87]Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow, Yuan-Sin Tan:
Declarative-procedural memory interaction in learning agents. AAMAS 2014: 1475-1476 - [c86]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 - [c85]Shan Gao, Ah-Hwee Tan:
User daily activity pattern learning: A multi-memory modeling approach. IJCNN 2014: 1542-1548 - [c84]Di Wang, Ah-Hwee Tan:
Mobile humanoid agent with mood awareness for elderly care. IJCNN 2014: 1549-1556 - [c83]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 - [c82]Lei Meng, Ah-Hwee Tan:
Community Discovery in Social Networks via Heterogeneous Link Association and Fusion. SDM 2014: 803-811 - [c81]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) - [c80]Teck-Hou Teng, Ah-Hwee Tan:
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning. ADPRL 2013: 132-139 - [c79]Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann:
Enabling generative, emergent artificial culture. AAMAS 2013: 789-792 - [c78]Lei Meng, Ah-Hwee Tan, Donald C. Wunsch:
Vigilance adaptation in adaptive resonance theory. IJCNN 2013: 1-7 - [c77]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) - [c76]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 - [c75]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Virtual characters in agent-augmented co-space (demonstration). AAMAS 2012: 1465-1466 - [c74]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 - [c73]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 - [c72]Yilin Kang, Ah-Hwee Tan, Fiona Fui-Hoon Nah:
Agent-Based Virtual Humans in Co-Space: An Evaluative Study. IAT 2012: 59-66 - [c71]Teck-Hou Teng, Ah-Hwee Tan:
Knowledge-Based Exploration for Reinforcement Learning in Self-Organizing Neural Networks. IAT 2012: 332-339 - [c70]Yilin Kang, Fiona Fui-Hoon Nah, Ah-Hwee Tan:
Investigating Intelligent Agents in a 3D Virtual World. ICIS 2012 - [c69]Lei Meng, Ah-Hwee Tan:
Semi-supervised hierarchical clustering for personalized web image organization. IJCNN 2012: 1-8 - [c68]Feng Shu, Ah-Hwee Tan:
A biologically-inspired affective model based on cognitive situational appraisal. IJCNN 2012: 1-8 - [c67]Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo:
Self-organizing neural networks for learning air combat maneuvers. IJCNN 2012: 1-8 - [c66]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Yuan-Sin Tan:
A self-organizing multi-memory system for autonomous agents. IJCNN 2012: 1-8 - [c65]Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia:
Topic Based Query Suggestions for Video Search. MMM 2012: 288-299 - [c64]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 - [c63]Jonathan H. Chan, Ah-Hwee Tan:
Preface: Trends in Natural and Machine Intelligence. INNS-WC 2012: 1-6 - [c62]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) - [c61]Han Yu, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
A simple curious agent to help people be curious. AAMAS 2011: 1159-1160 - [c60]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 - [c59]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) - [c58]Ah-Hwee Tan, Yilin Kang:
Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace. ATC 2010: 298-312 - [c57]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 - [c56]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 - [c55]Yilin Kang, Ah-Hwee Tan:
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds. IAT 2010: 173-180 - [c54]Ah-Hwee Tan, Gee Wah Ng:
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning. IAT 2010: 248-251 - [c53]Yundong Cai, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
DIRACT: Agent-Based Interactive Storytelling. IAT 2010: 273-276 - [c52]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 - [c51]Shu Feng, Ah-Hwee Tan:
Self-organizing neural networks for behavior modeling in games. IJCNN 2010: 1-8 - [c50]Yilin Kang, Ah-Hwee Tan:
Self-organizing agents for reinforcement learning in virtual worlds. IJCNN 2010: 1-8 - [c49]Janusz A. Starzyk, Pawel Raif, Ah-Hwee Tan:
Mental development and representation building through motivated learning. IJCNN 2010: 1-8 - [c48]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) - [c47]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 - [c46]Budhitama Subagdja, Ah-Hwee Tan:
A self-organizing neural network architecture for intentional planning agents. AAMAS (2) 2009: 1081-1088 - [c45]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 - [c44]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) - [c43]Luong-Dong Nguyen, Kia-Yan Woon, Ah-Hwee Tan:
A self-organizing neural model for multimedia information fusion. FUSION 2008: 1-7 - [c42]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
Context modeling with Evolutionary Fuzzy Cognitive Map in interactive storytelling. FUZZ-IEEE 2008: 2320-2325 - [c41]Budhitama Subagdja, Ah-Hwee Tan:
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. IAT 2008: 231-237 - [c40]Teck-Hou Teng, Ah-Hwee Tan:
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. IAT 2008: 318-321 - [c39]Dan Xiao, Ah-Hwee Tan:
Scaling Up Multi-agent Reinforcement Learning in Complex Domains. IAT 2008: 326-329 - [c38]Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan:
Self-organizing neural models integrating rules and reinforcement learning. IJCNN 2008: 3771-3778 - [c37]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) - [c36]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 - [c35]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 - [c34]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen:
A Hybrid of Plot-Based and Character-Based Interactive Storytelling. Edutainment 2007: 260-273 - [c33]Ah-Hwee Tan:
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. IJCAI 2007: 1071-1076 - [c32]Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg:
Intelligence Through Interaction: Towards a Unified Theory for Learning. ISNN (1) 2007: 1094-1103 - [c31]Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-Hwee Tan:
Integrating Semantic Templates with Decision Tree for Image Semantic Learning. MMM (2) 2007: 185-195 - [c30]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
- [c29]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 - [c28]Xing Jiang, Ah-Hwee Tan:
OntoSearch: A Full-Text Search Engine for the Semantic Web. AAAI 2006: 1325-1330 - [c27]Tao Jiang, Ah-Hwee Tan:
Mining RDF Metadata for Generalized Association Rules. DEXA 2006: 223-233 - [c26]Ah-Hwee Tan:
Self-organizing Neural Architecture for Reinforcement Learning. ISNN (1) 2006: 470-475 - [c25]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Discovering Causal Dependencies in Mobile Context-Aware Recommenders. MDM 2006: 4 - [c24]Tao Jiang, Ah-Hwee Tan:
Discovering Image-Text Associations for Cross-Media Web Information Fusion. PKDD 2006: 561-568 - [c23]Samin Karim, Liz Sonenberg, Ah-Hwee Tan:
A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. PRICAI 2006: 200-211 - [c22]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 - [c21]Tao Jiang, Ah-Hwee Tan:
Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. WWW 2006: 951-952 - [c20]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) - [c19]Ah-Hwee Tan, Dan Xiao:
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment. IAT 2005: 351-357 - [c18]Xing Jiang, Ah-Hwee Tan:
Mining Ontological Knowledge from Domain-Specific Text Documents. ICDM 2005: 665-668 - [c17]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) - [c16]Ah-Hwee Tan:
FALCON: a fusion architecture for learning, cognition, and navigation. IJCNN 2004: 3297-3302 - 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) - [c15]Kanagasabai Rajaraman, Ah-Hwee Tan:
Mining Semantic Networks for Knowledge Discovery. ICDM 2003: 633-636 - [c14]Ji He, Ah-Hwee Tan, Chew Lim Tan:
Self-organizing neural networks for efficient clustering of gene expression data. IJCNN 2003: 1684-1689 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-19 21:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
