Year 2009
Journal Papers
1. Hui-Qing Chong, Ah-Hwee Tan and Gee-Wah Ng. Integrated Cognitive Architectures: A Survey. Artificial Intelligence Review, DOI: 10.1007/s10462-009-9094-9, in press.
2. Yu-Hong Feng, Teck-Hou Teng and Ah-Hwee Tan. "Modelling Situation Awareness for Context-aware Decision Support". Expert Systems with Applications, Vol. 36, No. 1 (January 2009) 455-463.
Conference Papers
1. Budhitama Subagdja and Ah-Hwee Tan. A Self-Organizing Neural Network Architecture for Intentional Planning Agents. To appear in proceedings, Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Budapest, Hungary, 10-15 May 2009.
Year 2008
Journal Papers
1. Ah-Hwee Tan, Ning Lu and Dan Xiao. "Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning with Delayed Evaluative Feedback". IEEE Transactions on Neural Networks, Vol. 9, No. 2 (February 2008) 230-244.
Conference Papers
1. Rina Tse and Alex Tay. "Robot Navigation using KFLANN Place Field". IEEE International Conference on Systems Man and Cybernetics, Singapore Nov 2008.
2. Nguyen Vu Anh and Alex Tay "A Multi-Processed Salient Point Detection System", IEEE International Conference on Automation, Robotics and Computer Vision. Hanoi Dec 2008.
3. Alex Tay, Wong Lai Ping, Jacek Zurada."HieNet Architecture using the K-Iterations Fast Learning Artificial", World Congress on Computational Intelligence, Hong Kong, July 2008.
4. Zhang Xuejie, Alex Tay. "Neural Classification of Objects Based on Gabor Signature.", World Congress on Computational Intelligence, Hong Kong, July 2008.
5. Teck-Hou Teng and Ah Hwee Tan. Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 318-321, Sydney, 9-12 December 2008.
6. Teck-Hou Teng, Zhong-Ming Tan and Ah-Hwee Tan. "Self-Organizing Neural Models Integrating Rules and Reinforcement Learning". In proceedings, International Joint Conference on Neural Networks (IJCNN'08), pp. 3770-3777, Hong Kong, 1-6 June 2008.
7. Feng Liu, Ah-Hwee Tan and Gee-Wah Ng. "FALCON-X: An Integrated Neural Cognitive Architecture". Twelfth International Conference on Cognitive and Neural Systems, Boston, 14-17 May 2008.
Year 2007
Journal Papers
1. Dan Xiao and Ah-Hwee Tan. "Self-Organizing Neural Architectures and Cooperative Learning in Multi-Agent Environment". IEEE Transactions on Systems, Man, and Cybernetics - Part B, Vol. 37, No. 6 (December 2007), 1567-1580.
2. Ah-Hwee Tan, Ning Lu, and Dan Xiao. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning with Delayed Evaluative Feedback. IEEE Transactions on Neural Networks, accepted.
3. L. P. Tay, J. M. Zurada, L.-P. Wong, and J. Xu, "The Hierarchical Fast Learning Artificial Neural Network (HieFLANN)—An Autonomous Platform for Hierarchical Neural Network Construction," IEEE Transactions on Neural Networks, vol. 18, pp. 1645-1657, 2007.
Conference Papers
1. Ah-Hwee Tan, Gail A. Carpenter, and Stephen Grossberg. Intelligence Through Interaction: Towards A Unified Theory for Learning. In proceedings, International Symposium on Neural Networks (ISNN’07), Nanjing, China, LNCS 4491, pp. 1098-1107, 3-7 June 2007.
2. Ah-Hwee Tan. Direct Code Access in Self-Organizing Neural Architectures for Reinforcement Learning. In proceedings, International Joint Conference on Artificial Intelligence (IJCAI’07), Hyderabad, India, pp. 1071-1076, 6-12 January 2007.
3. Zhang Xuejie and L.P.Tay, ''"Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space,'' International Joint Conference on Neural Networks 2007., 2007.
4. R. Ho, Alex Leng Phuan Tay, and Xuejie Zhang, "Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network," in International Joint Conference on Neural Networks. Orlando, USA, 12-17 Aug 2007, paper number 1159.
5. Alex Xuejie Zhang, Alex Leng Phuan Tay, and Peiyuan Liang, "Bio-inspired vergence control model for distance estimation of foveal and peripheral objects," in Eleventh International Conference on Cognitive and Neural Systems. Boston, MA, USA, 16-19 May 2007.
Year 2006
Books/Book
Chapters
1. Jinyan Li, Qiang Yang, Ah-Hwee Tan (Eds.). Data Mining for Biomedical Applications. LNBI3916, Springer-Verlag, 2006.
Conference Papers
1. Xing Jiang and Ah-Hwee Tan, OntoSearch: A Semantic Search Engine for the Semantic Web. To appear in proceedings, 21st National Conference on Artificial Intelligence (AAAI), Boston, July 2006.
2. Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen, Fuzzy Cognitive Goal Net for Interactive Storytelling plot design. To appear in proceedings, ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, Hollywood, June 2006.
3. Xing Jiang and Ah-Hwee Tan, Learning and Inferencing in User Ontology for Personalized Semantic Web Services. To appear in proceedings, 15 th International World Wide Web Conference, Edinburgh, May 2006.
4. Tao Jiang and Ah-Hwee Tan. Knowledge Discovery from Text: RDF Metadata Annotation and Association Rule Mining. To appear in proceedings, 15 th International World Wide Web Conference, Edinburgh, May 2006.
5. Ah-Hwee Tan. Self-organizing Neural Architecture for Reinforcement Learning . In proceedings, J. Wang et al. (Eds.): International Symposium on Neural Networks (ISNN’06), Chengdu, China, LNCS 3971, pp. 470–475, May 2006.
6. Ghim-Eng Yap, Ah-Hwee Tan, Hwee-Hwa Pang. Discovering Causal Dependencies in Mobile Context-Aware Recommenders. To appear in proceedings, International Conference on Mobile Data Management (MDM), Nara, May 2006.
7. Samin Karim, Liz Sonenberg and Ah-Hwee Tan. A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. In proceedings, 9th Biennial Pacific Rim International Conference on Artificial Intelligence (PRICAI’ 2006), Guilin, China, LNAI 4099, pp. 200-211, 7-11 August 2006. (Acceptance rate 14.1%)
8. Zhang Xuejie and L.P.Tay, ''Baseline Independent Binocular Vergence Control of 2 DOF Pan-Tilt Cameras using a Visual Cortical Model,'' 9th International Conference in Control, Automation, Robotics and Vision. Singapore, 2006, 2006.
9. L.P.Tay, B.Arlene, L.P.Tan, K.Zhang, ''Biologically Inspired KFLANN Place Fields For Robot Localization,'' IJCNN 06/ WCCI 06, 2006.
10.Alex Xuejie Zhang, Alex Leng Phuan Tay, and A. Saxena, "Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex," in International Joint Conference on Neural Networks (IJCNN'06, WCCI'06). Vancouver, Canada, 2006, pp. 4277-4283.
Year 2005
Books/Book
Chapters
1. Tao Jiang, Ah-Hwee Tan, “Mining Association Rules from RDF Documents”, S. Bandyopadhyay, U. Maulik, L. Holder and D. Cook (editors), Advanced Methods for Knowledge Discovery from Complex Data, Springer-Verlag, 2005.
Journal Papers
1. Siu-Yeung Cho, “Probabilistic Based Recursive Model for Adaptive Processing of Data Structures”, revised and resubmitted to IEEE Trans. On Neural Networks, 2005.
2. Siu-Yeung Cho and Z. Chi, “Genetic Evolution Processing of Data Structures for Image Classification”, IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 2, pp. 261-31. Feb 2005.
3. Ah-Hwee Tan and Hong Pan, “Predictive Neural Networks for Gene Expression Data Analysis”, Neural Networks, in press.
4. Bo An, Chunyan Miao, Zhiqi Shen and Daijie Cheng, A Coalition Formation Framework Based on Transitive Dependence, IEICE Transactions on Information and Systems, 2005, accepted.
5. Zhiqi Shen, Robert Gay, Chunyan Miao, Tin Wee Tan, Chong Sean Kuay and Hui Mien Lee, Process Modeling and Automated Execution for Bio-Manufacturing, International Journal of Information Technology, 2005, accepted
Conference Papers
1. Siu-Yeung Cho and Jia-Jun Wong, “Probabilistic Based Recursive Model for Face Recognition”, accepted by FSKD’05, 2005.
2. Dan Xiao and Ah-Hwee Tan. Cooperative Cognitive Agents and Reinforcement Learning in Pursuit Game. In proceedings, Third International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS'05), Singapore, December 2005.
3. Xing Jiang and Ah-Hwee Tan. Mining Ontological Knowledge from Domain-Specific Text Documents. In proceedings, IEEE International Conference on Data Mining (ICDM'05), New Orleans, November 2005.
4. Ah-Hwee Tan and Dan Xiao. Self-Organizing Cognitive Agents and Reinforcement Learning in a Multi-Agent Environment. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), France, September 19-22, 2005
5. Ghim-Eng Yap, Ah-Hwee Tan, Hwee-Hwa Pang. “Dynamically-Optimized Context in Recommender Systems”. In proceedings, 6th International Conference on Mobile Data Management (MDM'2005), Ayia Napa, Cyprus, May 9-13, 2005
6. Lai Ping Wong, Leng Phuan Alex Tay and Jian Xu, “Hierarchical Fast Learning Artificial Neural Networks”, International Joint Conference on Neural Networks 2005, Montreal.
7. Lai Ping Wong, Leng Phuan Alex Tay and Jian Xu, “A Novel Hybrid Learning Scheme for Pattern Recognition”, International Joint Conference on Neural Networks 2005, Montreal.
8. Lai Ping Wong, Leng Phuan Alex Tay and Jian Xu, “Fast Learning Artificial Neural Network, A Framework for Scalable Learning”. 9th International Conference on Cognitive and Neural Systems 2005, Boston
9. Lai Ping Wong, Leng Phuan Alex Tay and Jian Xu, “K Means Fast Learning Artificial Neural Network (KFLANN), An Atomic Model for Hierarchical Neural Networks”. 9th International Conference on Cognitive and Neural Systems 2005, Boston
10. Tan Hock Woo, Lee Keok Kee, Tay Leng Phuan, “Algorithms for Intelligent Turret Assembly System”, IEEE International Conference on Information Technology and Applications 2005.
11. Bo An, Chunyan Miao, Daijie Cheng,
Toward Transitive Dependence in MAS, Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2005), pp 486-493, accepted.
12. Bo An, Chunyan Miao, Daijie Cheng,
A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation, Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2005), pp. 507-514.
13. Zunliang Yin, Chunyan Miao, Yuan Miao and Zhiqi Shen, Actionable Knowledge Model for GUI Regression Testing, the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’05), Compiegne, France, September 19 - 22, 2005, accepted.
14. Jianshu Weng, Chunyan Miao, Angela Goh, Protecting online rating system from unfair ratings, TrustBus 2005, accepted.
15. Qizhen Yang, Chunyan Miao, A Service-Oriented Approach To Engineering Ontology Development For Product Lifecycle Processes, the 2005 ASME International Design Engineering Technical Conferences & Computers and Information In Engineering Conference, accepted.
16. Zhonghua Yang, Robert Gay, Chunyan Miao, Jing-Bing Zhang, Zhiqi Shen and Liqun Zhuang, Automating Integration of Manufacturing Systems and Services: A Semantic Web Services Approach, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, North Carolina, USA, November 6 – 10 2005, accepted.
17. Zhiqi Shen, Dongtao Li, Chunyan Miao and Robert Gay, Goal-oriented Methodology for Agent System Development, the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’05), Compiegne, France, September 19 - 22, 2005, accepted.
18. Dongtao Li, Zhiqi Shen, Chunyan Miao and Robert Gay, A Goal Oriented E-Learning Agent System, the 9th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES'2005), Melbourne, Australia, 14 - 16 September 2005, accepted.
19. Hui Mien Lee, Zhiqi Shen, Robert Kheng Leng Gay, Chunyan Miao and Tin Wee Tan, Integrated BioManufacturing Workflow Design and Implementation: From R&D to Diagnostic Kits, The 31st Annual Conference of the IEEE Industrial Electronics Society, Raleigh, North Carolina, USA, November 6 – 10 2005, accepted.
20. Chong Sean Kuay, Zhiqi Shen and Chunyan Miao, Goal Net Agent Framework for Web Service Integration, in The IASTED International Conference on Web Technologies, Applications, and Services (WTAS 2005), Calgary, Alberta, Canada, July 4-6, 2005, accepted.
Year 2004
Journal Papers
1. Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng, and Qiu-Xiang Li.
Towards Personalized Web Intelligence. Knowledge
and Information Systems
, Vol. 6, No. 5 (September 2004)
2. Ji He, Ah-Hwee Tan, and Chew-Lim Tan.
Modified ART 2A Growing Network Capable of Generating a Fixed Number of Nodes.
IEEE
Transactions on Neural Networks
Vol. 5, No. 3 (May 2004), 728-737.
Conference Papers
1. Siu-Yeung Cho and Z. Chi, “Genetic Evolution Processing of Data Structures for Image Classification”, IEEE Transactions on Knowledge and Data Engineering, published in 2004.
2. Ah-Hwee Tan. FALCON: A Fusion Architecture for Learning,
COgnition, and Navigation. International Joint Conference on Neural Networks, Budapest, July
2004, pp3297-3302.
3. Siu-Yeung Cho, “A Simple Genetic Approach to Adaptive Processing of Tree-Structure Patters”, The 2004 International MultiConference in Computer Science and Computer Engineering, Las Vegas, Nevada, United States. 2004.
4. Siu-Yeung Cho, “Region-based Tree Structures Representation for the Classification of Flowers,
Proceedings of the International Workshop on Advance Imaging Technology, Singapore, 2004, pp. 5-10.
5. Yin X., Tay L.P. (2004) Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network.
17th Australian Joint Conference on Artificial Intelligence.(AI2004)
6. Z. Shen*,C.Y.Miao,R. Gay*,''Goal Autonomous Agent Architecture,'' The 28th Annual International Computer Software and Applications Conference (COMPSAC 2004), 2004
7. Z. Shen*,R. Gay*,C.Y.Miao,Q. Wang*,''Goal Oriented Modeling for Agent Mediated E-Learning Grid,'' The Eighth International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), 2004
8. Z. Shen*,C.Y.Miao,R. Gay*,X. Tao*,''Goal Oriented Modeling for Intelligent Software Agents,'' the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004
9. S. H. Teo*,M. Chan*,C.Y.Miao,''Incorporated Framework for Incremental Prototyping with Object-Orientation,'' 2004 IEEE International Engineering Management Conference, 2004
10. J.Weng*, C.Y.Miao, A.Goh, ''Automating Negotiation in Pervasive Grid,'' International Conference on Scientific and Engineering Computation (IC-SEC 2004), Workshop on Grid Computing, 2004
11. J.Weng*, C.Y.Miao, A.Goh, ''Dynamic Negotiations for Grid Services,'' International Conference on Autonomic Computing (ICAC-04), 2004
12. Z.Shen*, C.Y.Miao, A.Goh, R.Gay*, ''Agent Mediated Grid Services in eLearning,'' Proceedings of CCGRID2004: 4th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2004
Year 2003
Books/Book
Chapters
1. Ji He, Ah-Hwee Tan, Chew-Lim Tan, and Sam-Yung Sung. On Quantitative Evaluation of Clustering Algorithms. Invited book chapter, Clustering and Information Retrieval, Wu and Xiong (Eds.), Kluwer, 2003.
2. V. Lakshmi, Ah-Hwee Tan, and Chew-Lim Tan. Web Structure Analysis for Information Mining. Refereed invited book chapter, Web Document Analysis: Challenges and Opportunities, Antonacopoulos and Hu (Eds.), World Scientific, 2003.
Journal Papers
1. Ah-Hwee Tan and Philip S. Yu. Guest Editorial: Text and Web Mining. Applied Intelligence: Special Issue on Text and Web Mining, Vol. 18, No. 3 (May-June 2003) 239-241.
2.
2. Ji He, Ah-Hwee Tan, and Chew-Lim Tan. On Machine Learning Methods for Chinese Document Classification. Applied Intelligence, Vol. 18, No. 3 (May-June 2003) 311-322.
Conference Papers
1. K. Rajaraman and Ah-Hwee Tan. Mining Semantic Network for Knowledge Discovery. In Proceedings, IEEE ICDM, Melbourne, USA, pp 633-636, November 19-22, 2003.
2. Ji He, Ah-Hwee Tan, and Chew-Lim Tan. Self-organizing Neural Networks for Efficient Clustering of Gene Expression Data. In Proceedings of International Joint Conference on Neural Networks (IJCNN), Portland, USA, pp1684-1689, July 2003.
Year 2002
Journal Papers
1. Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan and Qiu-Xiang Li. Organizing and Personalizing Intelligence Gathering from the Web. International Journal of Intelligence Systems in Accounting, Finance, and Management, Special Issue on Knowledge Management, Vol. 11, No. 1 (2002) 9-21.
Conference Papers
1. K. Rajaraman and Ah-Hwee Tan. Knowledge Discovery from Texts: A Concept Frame Graph Approach. In Proceedings of the Eleventh International Conference on Information and Knowledge Management (CIKM-02), McLean, VA, USA, November 4-9, 2002.
2. Ah-Hwee Tan. Web Intelligence via Personalization Information Management. In Proceedings of WCCI'2002 FUZZ-IEEE, Honolulu, pp. 1045-1050, May 2002. Invited paper for Special Session on Computational Web Intelligence.
3. Ji He, Ah-Hwee Tan, and Chew-Lim Tan. ART-C: A Neural Architecture for Efficient On-line Clustering under Constraints. In Proceedings of WCCI'2002 IJCNN, Honolulu, pp. 2550-2555, May 2002.
4. Ah-Hwee Tan and Hong Pan. Adding Personality to Information Clustering. In Proceedings of PAKDD'02, pp. 251-256, Taipei, May 2002.
Year 2001
Conference Papers
1. Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, and Qiu-Xiang Li. FOCI: Flexible Organizer for Competitive Intelligence. In Proceesings of the Tenth International Conference on Information and Knowledge Management (CIKM-01), Altanta, pp. 523-525, 5-10 November 2001.
2. Kanagasabai Rajaraman and Ah-Hwee Tan. Topic detection, Tracking and Trend Analysis using Self-organizing Neural Networks. In Proceedings of the Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), Hong Kong, LNAI 2035, pp. 102-107, April 16-18, 2001.
3. Ah-Hwee Tan. Predictive Self-Organizing Networks for Text Categorization. In Proceedings of the Fifth Pacific-Aisa Conference on Knowledge Discovery and Data Mining (PAKDD'01), Hong Kong, LNAI2035, pp. 66-77, April 2001.
4. Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng, and Qiu-Xiang Li. FOCI: A Personalized Web Intelligence System. In proceedings of IJCAI workshop on Intelligent Techniques for Web Personalisation, Seattle, pp. 14-19, August 2001.
5. Lakshmi Vijjappu, Ah-Hwee Tan, and Chew-Lim Tan. Web Structure Analysis for Information Mining. Accepted by ICDAR'01 Workshop on Web Document Analysis, Seattle, September 10-13, 2001.
Year 2000
Books/Book
Chapters
1. Ah-Hwee Tan. Supervised Adaptive Resonance Theory and Rules. Innovation in ART Neural Networks, Jain, Lazzerini, and Halici (Eds.), chapter 4, pp55-86, Physica-Verlag Press, 2000.
Conference Papers
1. Ji He, Ah-Hwee Tan and Chew-Lim Tan. Machine Learning Methods for Chinese Web Page Categorization. In proceedings, ACL'2000 International Workshop on Chinese Language Processing, Hong Kong, September 2000.
2. Ah-Hwee Tan and Fon-Lin Lai. Text Categorization, Supervised Learning, and Domain Knowledge Integration. In proceedings, KDD'2000 International Workshop on Text Mining, Boston, pp. 113-114, August 2000.
3. Ji He, Ah-Hwee Tan and Chew-Lim Tan. A Comparative Study on Chinese Text Categorization Methods. In proceedings, PRICAI'2000 International Workshop on Text and Web Mining, Melbourne, pp. 24-35, 2000.
4. Ah-Hwee Tan and Hui-Shin Soon. Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. In proceedings, PAKDD'2000, Kyoto, LNAI 1805, pp. 173-176, April 2000.
Year 1999
Conference Papers
1. Ah-Hwee Tan. Text mining: The state of the art and the challenges. In proceedings, PAKDD'99 Workshop on Knowledge discovery from Advanced Databases (KDAD'99), Beijing, April 71-76, 1999.
Year 1998
Conference Papers
1. Ah-Hwee Tan and Christine Teo. Learning User Profiles for Personalized Information Dissemination. In proceedings, International Joint Conference on Neural Networks (IJCNN'98), Alaska, May 4-9, 1998, p183-188.
Year 1997
Books/Book
Chapters
1. Dan Patterson, Graham Leedham, Kai Warendork, and Ah-Hwee Tan (editors). Proceedings of the 1997 Joint Pacific Asian Conference on Expert Systems and Singapore International Conference on Intelligent Systems (PACES/SICIS'97), Singapore, 24-27 February 1997.
Journal Papers
1. Ah-Hwee Tan. Cascade ARTMAP: Integrating Neural Computation and Symbolic Knowledge Processing. IEEE Transactions on Neural Networks, Vol. 8, No. 2 (March 1997) 237-250.
2. Ah-Hwee Tan and Loo-Nin Teow. Inductive Neural Logic Network and the SCM Algorithm. Neurocomputing: An International Journal. Vol. 14 (1997) 157-176.
Other Publications
1. Ah-Hwee Tan, Joo-Hwee Lim, Ho-Chung Lui, Liya Ding, and Fon-Lin Lai. Hierarchical Knowledge and Information Integration for Intelligent Pattern Recognition. In proceedings, Real World Computing'97 Joint Symposium, Tokyo (17-18 February 1997), 326-333.
Year 1996
Journal Papers
1. Ah-Hwee Tan and Hui-Shin Soon. Concept Hierarchy Memory Model: A Neural Architecture for Conceptual Knowledge Representation, Learning, and Commonsense Reasoning. International Journal of Neural Systems, Vol. 7, No. 3 (July 1996) 305-319.
Conference Papers
1. Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan, and Ho-Chung Lui. An Application of Hierarchical Knowledge Integration in Hand-written Form Processing. In proceedings, Pacific Rim International Conference on Artificial Intelligence (PRICAI'96): Topics in Artificial Intelligence, Cairns, 1996, pp. 169-180.
Year 1995
Journal Papers
1. Ah-Hwee Tan. Adaptive Resonance Associative Map. Neural Networks, Vol.8, No. 3 (1995) 437-446.
2. Gail A. Carpenter and Ah-Hwee Tan. Rule Extraction: From Neural Architecture to Symbolic Representation. Connection Science, Vol. 7, No. 1 (1995) 3-27.
Conference Papers
1. Ah-Hwee Tan. Integrating Rules and Neural Computation. In proceedings, IEEE International Conference on Neural Networks, Perth, 1995, Vol. IV, pp. 1794-1799, IEEE Press.
2. Ah-Hwee Tan and Loo-Nin Teow. Learning by Supervised Clustering and Matching. In proceedings, IEEE International Conference on Neural Networks, Perth, 1995, Vol. I, pp.242-246, IEEE Press.
3. Loo-Nin Teow and Ah-Hwee Tan. Adaptive Integration of Multiple Experts. In proceedings, IEEE International Conference on Neural Networks, Perth, 1995, Vol. III, pp. 1215-1220, IEEE Press.
Other Publications
1. Ah-Hwee Tan and Loo-Nin Teow. Neural Logic Networks for Pattern Recognition, Time Series Prediction, and Knowledge Integration. In proceedings, Real World Computing'95 Joint Symposium, Tokyo, pp. 67-68.
Year 1994
Conference Papers
1. Ah-Hwee Tan. Adaptive Resonance Associative Map: A Neural Model for Heteroassociative Learning and Recall. In proceedings, International Conference on Neural Information Processing, Seoul, October 17-21, 1994, Vol II, 731-736.
Year 1993
Conference Papers
1. Gail A. Carpenter and Ah-Hwee Tan. Fuzzy ARTMAP, Rule Extraction and Medical Databases. In proceedings, World Congress on Neural Networks, Portland, July 11-15, 1993, Vol I, pp.501-506. Hillsdale, NJ: Lawrence Erlbaum Associates.
2. Hui-Shin Soon and Ah-Hwee Tan. Concept Hierarchy Networks for Inheritance Systems: Concept Formation, Property Inheritance and Conflict Resolution. In proceedings, 15th Conference of the Cognitive Science Society, Boulder, June 18-21,1993, pp.941-946. Hillsdale, NJ: Lawrence Erlbaum Associates.
3. Hui-Shin Soon and Ah-Hwee Tan. A Memory Model for Concept Hierarchy Representation and Commonsense Reasoning. In proceedings, World Congress on Neural Networks, Portland, July 11-15, 1993, Vol II, pp.206-209. Hillsdale, NJ:Lawrence Erlbaum Associates.
Other Publications
1. Ah-Hwee Tan. Rule Learning and Extraction with Self-organizing Neural Networks. In Mozer, M. C., Smolensky, P., Touretzky, D.S., Elman, J.L., and Weigend, A.S. edited, proceedings, 1993 Connectionist Models Summer School, pp.192-199.
Year 1992
Conference Papers
1.Ah-Hwee Tan. Adaptive Resonance Associative Map: A Hierarchical ART system for Fast Stable Associative Learning. In proceedings, Intl' Joint Conference on Neural Networks, Baltimore, June 17-21, 1992, Vol I, pp.860-865. Piscataway, NJ: IEEE Service Center.
Year 1991
Books/Book
Chapters
1. Ho-Chung Lui, Joo-Hwee Lim, Ah-Hwee Tan, and Hoon-Heng Teh. Practical Application of a Connectionist Expert System: The INSIDE Story. Operational Expert Systems in Far East Asia, edited by Jae K.Lee, Pergamon Press, 1991.
Journal Papers
1. Boon-Toh Low, Ho-Chung Lui, Ah-Hwee Tan, and Hoon-Heng Teh. Connectionist Expert System with Adaptive Learning Capability. IEEE Transactions on Knowledge and Data Engineering, Vol. 3, No. 2 (June 1991) 200-207.
Conference Papers
1. Joo-Hwee Lim, Ah-Hwee Tan, Ho-Chung Lui, and Hoon-Heng Teh. INSIDE: A Connectionist Case-based Diagnostic Expert System That Learns Incrementally. In proceedings, Intl' Joint Conference on Neural Networks, Singapore, November 18-21, 1991, Vol II, pp.1693-1698. Piscataway, NJ: IEEE Service Center.
2. Ho-Chung Lui, Joo-Hwee Lim, Ah-Hwee Tan, and Hoon-Heng Teh. Practical Application of a Connectionist Expert System: The INSIDE Story. In proceedings, First World Congress on Expert Systems, Orlando, December 17-21, 1991, pp.21-29.
Year 1990
Conference Papers
1. Ah-Hwee Tan, Qiang Pan, Ho-Chung Lui, and Hoon-Heng Teh. INSIDE: A Neuronet Based Hardware Fault Diagnostic System. In proceedings, Intl' Joint Conference on Neural Networks, San Diego, June 17-21, 1990, Vol I, pp.63-69. Piscataway, NJ: IEEE Service Center.
Year 1989
Journal Papers
1. Hoon-Heng Teh and Ah-Hwee Tan. Connectionist Expert Systems: An Inductive Cum Deductive Approach. International Journal of Information Technology, Vol. 3 (1989), No.1, 63-72.
Conference Papers
1. Lai-Kin Chee and Ah-Hwee Tan. Connectionist Expert System for Intelligent Advisory Applications. Expert Systems in Economic, Banking and Management, 1989, pp.167-176. Amsterdam: Elsevier/North Holland.
Other Publications
1. Ah-Hwee Tan and Hoon-Heng Teh. Connectionist Expert Systems: A Neural-Logic Models' Approach. In proceedings, Inter-faculty Seminar on Neuronet Computing, National University of Singapore, June 1989, pp.16-32.
|
