Publications by Type (See publications by year)

 

Edited Volumes

1.      Daqing Zhang, Marius Portmann, Ah-Hwee Tan and Jadwiga Indulska (Eds.). Proceedings, Sixth International Conference on Ubiquitous Computing and Intelligence (UIC'09), Lecture Notes in Computer Science, LNCS 5585, Springer-Verlag, 2009.

2.      Jinyan Li, Qiang Yang and Ah-Hwee Tan (Eds.). Data Mining for Biomedical Applications. LNBI3916, Springer-Verlag, 2006.

3.      Ah-Hwee Tan and Philip S. Yu (Eds). Applied Intelligence: Special Issue on Text and Web Mining, Vol. 18, No. 3 (May-June 2003).

4.      George Karypis, Ah-Hwee Tan and Eui-Hong (Sam) Han (Eds). Proceedings of the PAKDD International Workshop on Text Mining, Taipei, 2002.

5.      Ah-Hwee Tan and Philip S. Yu (Eds.). Proceedings of the PRICAI International Workshop on Text and Web Mining, Melbourne, August 2000.

6.      Dan Patterson, Graham Leedham, Kai Warendork and Ah-Hwee Tan (Eds.). 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.

 

Book Chapters

1.      Tao Jiang, Ah-Hwee Tan. Mining Association Rules from RDF Documents. In Bandyopadhyay, Maulik, Holder and Cook (Eds.), Advanced Methods for Knowledge Discovery from Complex Data, pp.231-252, Springer-Verlag, 2005.

2.      Ji He, Ah-Hwee Tan, Chew-Lim Tan and Sam-Yung Sung. On Quantitative Evaluation of Clustering Systems. In Wu, Xiong and Shekhar (Eds.), Clustering and Information Retrieval, pp.105-133, Kluwer Academic Publishers, 2003.

3.       V. Lakshmi, Ah-Hwee Tan and Chew-Lim Tan. Web Structure Analysis for Information Mining. In Antonacopoulos and Hu (Eds.), Web Document Analysis: Challenges and Opportunities, World Scientific, 2003.

4.      Ah-Hwee Tan. Supervised Adaptive Resonance Theory and Rules. In Jain, Lazzerini, and Halici (Eds.), Innovation in ART Neural Networks, chapter 4, pp. 55-86, Physica-Verlag Press, 2000.

5.      Ho-Chung Lui, Joo-Hwee Lim, Ah-Hwee Tan and Hoon-Heng Teh. Practical Application of a Connectionist Expert System: The INSIDE Story. In Jae K. Lee (Eds.), Operational Expert Systems in Far East Asia, Pergamon Press, 1991.

Journal Papers

1.      Dan Xiao and Ah Hwee Tan. Cooperative Reinforcement Learning in Topology-based Multi-Agent Systems. Journal of Autonomous Agents and Multi-Agent Systems, in press (DOI:10.1007/s10458-011-9183-4).

2.      Budhitama Subagdja and Ah-Hwee Tan. iFALCON: A Neural Architecture for Hierarchical Planning. Neurocomputing, in press (DOI:10.1016/j.neucom.2012.01.008).

3.      Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, and Liang-Tien Clement Chia. A Non-parametric Visual-Sense Model of Images - Extending the Cluster Hypothesis Beyond Text. Multimedia Tools and Applications, in press (DOI:10.1007/s11042-010-0615).

4.      Janusz A. Starzyk, James T. Graham, Pawel Raif, and Ah-Hwee Tan. Motivated Learning for the Development of Autonomous Agents. Cognitive Systems Research, Special issue on Computational Modeling and Application of Cognitive Systems, Vol. 14, No. 1, 10-25 (DOI:10.1016/j.cogsys.2010.12.009).

5.      Ah-Hwee Tan, Yew-Soon Ong and Akejariyawong Tapanuj. A Hybrid Agent Architecture Integrating Desire, Intention and Reinforcement Learning. Expert Systems with Applications, Volume 38, Issue 7, July 2011, Pages 8477-8487.

6.      Ah-Hwee Tan, Yuhong Feng and Yew-Soon Ong. A Self-Organizing Neural Architecture Integrating Desire, Intension and Reinforcement Learning. Neurocomputing, Vol. 73, No. 7-9. (March 2010) 1465-1477.

7.      Yundong Cai, Chunyan, Miao, Ah-Hwee Tan, Zhiqi Shen and Boyang Li. Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. IEEE Computer Graphics and Applications, Vol. 30, No. 2 (March/April 2010) 58-70.

8.      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)

9.      Xing Jiang and Ah-Hwee Tan. CRCTOL: A Semantic Based Domain Ontology Learning System. Journal of the American Society for Information Science and Technology, Vol. 61, No. 1 (January 2010) 150-168.

10.  Xing Jiang, Hui Xiong, Chen Wang and Ah-Hwee Tan. Mining Frequent Subgraphs in Single Labeled Graph: A Global Distribution Perspective. Data and Knowledge Engineering, Vol. 68, No. 10 (December 2009) 1034-1058.

11.  Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, and Ah-Hwee Tan. Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval. IEEE Transactions on Multimedia, Vol. 11, No. 5 (December 2009) 1434-1445.

12.  Xing Jiang and Ah-Hwee Tan. Learning and Inferencing in User Ontology for Personalized Semantic Web Search. Information Sciences, Volume 179, Issue 16 (July 2009) 2794-2808. doi:10.1016/j.ins.2009.04.005  

13.  Hui-Qing Chong, Ah-Hwee Tan and Gee-Wah Ng. Integrated Cognitive Architectures: A Survey. Artificial Intelligence Review, Vol. 28, No. 2 (Published Online February 2009) 103-130. doi:10.1007/s10462-009-9094-9

14.  Tao Jiang and Ah-Hwee Tan. Learning Image-Text Associations. IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 2 (February 2009), 161-177.

15.  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.

16.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Explaining Inferences in Bayesian Networks. Applied Intelligence, Vol. 29, No. 3 (December 2008) 263-278.

17.  Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan and Zexuan Zhu. A fast pruned-extreme learning machine for classification problem. Neurocomputing, Vol. 72, No. 1-3 (December 2008) 359-366.

18.  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.

19.  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.

20.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 7 (July 2007) 977-992.

21.  Tao Jiang, Ah-Hwee Tan and Ke Wang. Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 2 (February 2007) 164-179.

22.  Ah-Hwee Tan and Hong Pan. Predictive Neural Networks for Gene Expression Data Analysis. Neural Networks, Vol. 18, No. 3 (April 2005) 297-306.

23.  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.

24.  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) 595-616.

25.  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.

26.  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.

27.  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.

28.  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.

29.  Ah-Hwee Tan and Loo-Nin Teow. Inductive Neural Logic Network and the SCM Algorithm. Neurocomputing: An International Journal. Vol. 14 (1997) 157-176.

30.  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.

31.  Ah-Hwee Tan. Adaptive Resonance Associative Map. Neural Networks, Vol.8, No. 3 (1995) 437-446.

32.  Gail A. Carpenter and Ah-Hwee Tan. Rule Extraction: From Neural Architecture to Symbolic Representation. Connection Science, Vol. 7, No. 1 (1995) 3-27.

33.  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.

34.  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.      Budhitama Subagdja, Wenwen Wang, Ah-Hwee Tan, Yuan-Sin Tan, and Loo-Nin Teow. Memory Formation, Consolidation, and Forgetting in Learning Agents. Accepted by Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Valencia, Spain, June 4-8, 2012.

2.      Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong and Chun-Yan Miao. Virtual Characters in Agent-Augmented Co-Space. Accepted by Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) (Demo Track), Valencia, Spain, June 4-8, 2012.

3.      Shu Feng and Ah-Hwee Tan. A Biologically-Inspired Affective Model Based on Cognitive Situational Appraisal. Accepted by 2012 International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.

4.      Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan and Yuan-Sin Tan. A Self-Organizing Multi-Memory System for Autonomous Agents. Accepted by 2012 International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.

5.      Lei Meng and Ah-Hwee Tan. Semi-supervised Hierarchical Clustering for Personalized Web Image Organization. Accepted by 2012 International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.

6.      Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan and Adrian Yeo. Self-organizing neural networks for learning air combat maneuvers. Accepted by 2012 International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.

7.      Liang Feng, Yew Soon Ong, Ivor Tsang and Ah Hwee Tan. An Evolutionary Search Paradigm that Learns with Past Experiences. Accepted by 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, June 10-15, 2012.

8.      Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, and Liang-Tien Clement Chia. Topic Based Query Suggestions for Video Search. In Proceedings, 18th International Conference on MultiMedia Modeling (MMM 2012), pp. 288-299, Klagenfurt, Austria, January 4-6, 2012. (Best Paper Award)

9.      Budhitama Subagdja and Ah-Hwee Tan. A Brain-Inspired Model of Hierarchical Planner. In Proceedings, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), Taoyuan, Taiwan, November 11-13, 2011.

10.  Shu Feng and Ah-Hwee Tan. Learning Human Emotion Patterns for Modeling Virtual Humans. In Proceedings, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), Taoyuan, Taiwan, November 11-13, 2011.

11.  Han Yu, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan, A Simple Curious Agent to Help People be Curious (Extended Abstract). In Proceedings, 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 1159 – 1160, , Taipei, Taiwan, May 2–6, 2011.

12.  Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen: Towards human-like social multi-agents with memetic automaton. In Proceedings, IEEE Congress on Evolutionary Computation 2011: pp. 1092-1099, New Orleans, June 5-8, 2011.

13.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Learning Feature Dependencies for Noise Correction in Biomedical Prediction. In Proceedings, Eleventh SIAM International Conference on Data Mining (SDM 2011), pp. 71-82, Mesa, Arizona, USA, April 28-30, 2011

14.  Ah-Hwee Tan and Yilin Kang. Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace. In B. Xie et al. (Eds.): ATC 2010, LNCS 6407, pp. 298-312. Springer, Heidelberg (2010).

15.  Yilin Kang and Ah-Hwee Tan. Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 173-180, Toronto, August 31 - September 3, 2010.

16.  Ah-Hwee Tan and Gee-Wah Ng. A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 248-251, Toronto, August 31 - September 3, 2010.

17.  Yundong Cai, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan. DIRACT: Agent-based Interactive Storytelling. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 273-276, Toronto, August 31 - September 3, 2010.

18.  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, Chun-Yan Miao. Experiencing Singapore Youth Olympic Games in Agent-Augmented Co-Space. 2010 International Conference on Cyberworlds, Singapore, October 20-22, 2010.

19.  Zheng-Xiang Pan, Liang Feng, Yew-Soon Ong, Yilin Kang, Ah-Hwee Tan and Chunyan Miao. Meme Selection, Variation, and Transmission in Multi-agent System. World Automation Congress 2010, Kobe, Japan, September 2010.

20.  Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim and Liang-Tien Chia. Faceted Topic Retrieval of News Video Using Joint Topic Modeling of Visual Features and Speech Transcripts. In proceedings, IEEE International Conference on Multimedia & Expo (ICME'10), Singapore, July 19-23, 2010.

21.  Shu Feng and Ah-Hwee Tan. Self-Organizing Neural Networks for Behavior Modeling in Games. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 3649-3656, Barcelona, Spain, July 18-23, 2010.

22.  Yilin Kang and Ah-Hwee Tan. Self-Organizing Agents for Reinforcement Learning in Virtual Worlds. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 3641-3648, Barcelona, Spain, July 18-23, 2010.

23.  Janusz Starzyk, Pawel Raif and Ah-Hwee Tan. Mental Development and Representation Building through Motivated Learning. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 2677-2684, Barcelona, Spain, July 18-23, 2010.

24.  Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan and Janusz Starzyk. A Self-Organizing Approach to Episodic Memory Modeling. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 447-454, Barcelona, Spain, July 18-23, 2010.

25.  Liang Feng, Yew-Soon Ong, Quang Huy Nguyen and Ah-Hwee Tan. Towards Probabilistic Memetic Algorithm: An Initial Study on Capacitated Arc Routing Problem. In proceedings, 2010 IEEE Congress on Evolutionary Computation, pp. 4402-4408, Barcelona, Spain, July 18-23, 2010.

26.  Janusz Starzyk, Pawel Raif and Ah-Hwee Tan. Motivated Learning as an Extension of Reinforcement Learning. Poster presented at the 4th International Conference on Cognitive Systems, ETH Zurich, January 27-28, 2010.

27.  Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, and Sujoy Roy. A Latent Model for Visual Disambiguation of Keyword-based Image Search. In proceedings, British Machine Vision Conference, London, September 7-10, 2009.

28.  Di Wang, Budhitama Subagdja, Ah-Hwee Tan and Gee-Wah Ng. Creating Human-like Autonomous Players in Real-time First Person Shooter Computer Games. In proceedings, Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI'09), Pasadena, California, July 14–16, 2009.

29.  Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia and Joo-Hwee Lim. A Bayesian Approach Integrating Regional and Global Features for Image Semantic Learning. In proceedings, IEEE International Conference on Multimedia & Expo (ICME'09), Cancun, Mexico, June 28 - July 3, 2009.

30.  Budhitama Subagdja and Ah-Hwee Tan. A Self-Organizing Neural Network Architecture for Intentional Planning Agents. In proceedings, Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS'09), pp. 1081-1088, Budapest, Hungary, May 10-15, 2009.

31.  Budhitama Subagdja and Ah Hwee Tan. Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), pp. 231-237, Sydney, 9-12 December 2008.

32.  Dan Xiao and Ah Hwee Tan. Scaling up Multi-Agent Reinforcement Learning in Complex Domains. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), pp. 326-329, Sydney, 9-12 December 2008.

33.  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 (IAT'08), pp. 318-321, Sydney, 9-12 December 2008.

34.  Huan Wang, Xing Jiang, Liang-Tien Chia and Ah-Hwee Tan. Ontology Enhanced Web Image Retrieval: Aided by Wikipedia & Spreading Activation Theory. In proceedings, ACM International Conference on Multimedia Information Retrieval (MIR'08), pp. 195-201, Vancouver, Canada, 30-31 October 2008.

35.  Luong-Dong Nguyen, Kia-Yan Woon and Ah-Hwee Tan. A Self-Organizing Neural Model for Multimedia Information Fusion. In proceedings, 11th International Conference on Information Fusion (Fusion'08), pp. 1738-1744, Cologne, Germany, 30 June – 3 July 2008.

36.  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.

37.  Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. Context-Modeling with Evolutionary Fuzzy Cognitive Map in Interactive Storytelling. In proceedings, International Conference on Fuzzy Systems (FUZZ-IEEE'08), pp.2320-2325, Hong Kong, 1–6 June 2008.

38.  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.

39.  Yundong Cai, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan,. S-MADE: Interactive Storytelling Architecture Through Goal Execution and Decomposing. In proceedings, AAAI Fall Symposium on Intelligent Narrative Technologies, Washington, DC, 8–11 November 2007.

40.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. In proceedings, 22nd National Conference on Artificial Intelligence (AAAI'07), pp.354-359, Vancouver, British Columbia, 22–26 July 2007.

41.  Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. A Hybrid of Plot-based and Character-based Interactive Storytelling. In proceedings, The Second International Conference on E-Learning and Games (Edutainment’07), pp. 260-273, Hong Kong, 11-13 June 2007.

42.  Ah-Hwee Tan, Gail A. Carpenter and Stephen Grossberg. Intelligence Through Interaction: Towards A Unified Theory for Learning. In proceedings, D. Liu et al. (Eds.): International Symposium on Neural Networks (ISNN'07), LNCS 4491, Part I, pp. 1098-1107, Nanjing, China, 3-7 June 2007.

43.  Heng-Jie Song, Zhi-Qi Shen, Chun-Yan Miao, Ah-Hwee Tan and Guo-Peng Zhao. The Multi-Agent Data Collection in HLA-based Simulation System In proceedings, 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07), pp. 61-69, San Diego, California, USA, 12-15 June 2007.

44.  Ying Liu, Dengsheng Zhang, Guojun Lu and Ah-Hwee Tan. Integrating Semantic Templates with Decision Tree for Image Semantic Learning. In proceedings, 13thInternational Multimedia Modeling Conference (MMM'07), LNCS 4351, pp. 185-195, Singapore, 9-12 January 2007.

45.  Ah-Hwee Tan. Direct Code Access in Self-Organizing Neural Architectures for Reinforcement Learning . In proceedings, International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 1071-1076, Hyderabad, India, 6-12 January 2007.

46.  Tao Jiang and Ah-Hwee Tan. Discovering Image-Text Associations for Cross-Media Web Information Fusion. In proceedings, 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'06), LNCS 4213, pp. 461-468, Berlin, Germany, September 2006.

47.  Tao Jiang and Ah-Hwee Tan. Mining RDF Metadata for Generalized Association Rules. In proceedings, 17th International Conference on Database and Expert Systems Applications (DEXA'06), LNCS 4080, pp. 223-233, Krakow, Poland, 4-8 September 2006.

48.  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'06), LNAI 4099, pp.200-211, Guilin, China , 7-11 August 2006.

49.  Xing Jiang and Ah-Hwee Tan, OntoSearch: A Semantic Search Engine for the Semantic Web . In proceedings, 21st National Conference on Artificial Intelligence (AAAI'06), pp. 1325-1330, Boston, USA , July 2006.

50.  Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. Fuzzy Cognitive Goal Net for Interactive Storytelling Plot Design. In proceedings, ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE'06), Hollywood, USA, June 2006.

51.   Xing Jiang and Ah-Hwee Tan. Learning and inferencing in user ontology for personalized semantic web services. In proceedings, 15th International Conference on World Wide Web (WWW'06), Edinburgh, Scotland, pp. 1067-1068, May 2006.

52.  Tao Jiang and Ah-Hwee Tan. Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. In Proceedings, 15th International Conference on World Wide Web (WWW'06), Edinburgh, Scotland, pp. 951-952, May 2006.

53.  Ah-Hwee Tan. Self-organizing Neural Architecture for Reinforcement Learning . In J. Wang et al. (Eds.): International Symposium on Neural Networks (ISNN'06), LNCS 3971, pp. 470-475, Chengdu, China, May 2006.

54.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Discovering Causal Dependencies in Mobile Context-Aware Recommenders. In proceedings, International Conference on Mobile Data Management (MDM'06), Nara, Japan, May 2006.

55.  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.

56.  Xing Jiang and Ah-Hwee Tan. Mining Ontological Knowledge from Domain-Specific Text Documents. In proceedings, IEEE International Conference on Data Mining (ICDM'05), pp. 665-668, New Orleans, USA, November 2005.

57.  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), pp. 351-357, France, September 2005.

58.  Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang . Dynamically-Optimized Context in Recommender Systems. In proceedings, 6th International Conference on Mobile Data Management (MDM'05), Ayia Napa, Cyprus, May 2005.

59.  Ah-Hwee Tan. FALCON: A Fusion Architecture for Learning, COgnition and Navigation. In proceedings, International Joint Conference on Neural Networks (IJCNN'04), pp. 3297-3302, Budapest, July 2004.

60.  Kanagasabai Rajaraman and Ah-Hwee Tan. Mining Semantic Network for Knowledge Discovery. In Proceedings, IEEE International Conference on Data Mining (ICDM'05), pp. 633-636, Melbourne, USA, November 2003.

61.  Ji He, Ah-Hwee Tan and Chew-Lim Tan. Self-organizing Neural Networks for Efficient Clustering of Gene Expression Data. In Proceedings, International Joint Conference on Neural Networks (IJCNN'03), pp. 1684-1689, Portland, USA, July 2003.

62.  K. Rajaraman and Ah-Hwee Tan. Knowledge Discovery from Texts: A Concept Frame Graph Approach. In Proceedings, Eleventh International Conference on Information and Knowledge Management (CIKM'02), McLean, VA, USA, November 4-9, 2002.

63.  Ah-Hwee Tan. Web Intelligence via Personalization Information Management. In Proceedings, World Congress on Computational Intelligence (WCCI'02) FUZZ-IEEE, pp. 1045-1050, Honolulu, May 2002.

64.  Ji He, Ah-Hwee Tan and Chew-Lim Tan. ART-C: A Neural Architecture for Efficient On-line Clustering under Constraints. In Proceedings. World Congress on Computational Intelligence (WCCI'02) IJCNN, pp. 2550-2555, Honolulu, May 2002.

65.  Ah-Hwee Tan and Hong Pan. Adding Personality to Information Clustering. In Proceedings, Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'02), pp. 251-256, Taipei, May 2002.

66.  Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan and Qiu-Xiang Li. FOCI: Flexible Organizer for Competitive Intelligence. In Proceedings, Tenth International Conference on Information and Knowledge Management (CIKM'01), pp. 523-525, Atlanta, USA, 5-10 November 2001.

67.  Kanagasabai Rajaraman and Ah-Hwee Tan. Topic detection, Tracking and Trend Analysis using Self-organizing Neural Networks. In Proceedings, Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), LNAI 2035, pp. 102-107, Hong Kong, April 16-18, 2001.

68.  Ah-Hwee Tan. Predictive Self-Organizing Networks for Text Categorization. In Proceedings, Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), LNAI2035, pp. 66-77, Hong Kong, April 2001.

69.  Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng and Qiu-Xiang Li. FOCI: A Personalized Web Intelligence System. In proceedings, IJCAI workshop on Intelligent Techniques for Web Personalisation, pp. 14-19, Seattle, USA, August 2001.

70.  Lakshmi Vijjappu, Ah-Hwee Tan and Chew-Lim Tan. Web Structure Analysis for Information Mining. In proceedings, ICDAR Workshop on Web Document Analysis, Seattle, USA, 10-13 September 2001.

71.  Ji He, Ah-Hwee Tan and Chew-Lim Tan. Machine Learning Methods for Chinese Web Page Categorization. In proceedings, ACL International Workshop on Chinese Language Processing, Hong Kong, September 2000.

72.  Ah-Hwee Tan and Fon-Lin Lai. Text Categorization, Supervised Learning and Domain Knowledge Integration. In proceedings, KDD'2000 International Workshop on Text Mining, pp. 113-114, Boston, USA, August 2000.

73.  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, pp. 24-35, Melbourne, Australia, August 2000.

74.  Ah-Hwee Tan and Hui-Shin Soon. Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. In proceedings, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00), LNAI 1805, pp. 173-176, Kyoto, April 2000.

75.  Ah-Hwee Tan. Text mining: The state of the art and the challenges. In proceedings, PAKDD Workshop on Knowledge discovery from Advanced Databases (KDAD'99), pp. 71-76, Beijing, April 1999.

76.  Ah-Hwee Tan and Christine Teo. Learning User Profiles for Personalized Information Dissemination. In proceedings, International Joint Conference on Neural Networks (IJCNN'98), pp. 183-188,  Alaska, May 4-9, 1998.

77.  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 Joint Symposium, pp. 326-333, Tokyo, 17-18 February 1997.

78.  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, pp. 169-180,  Cairns, Australia, 1996.

79.  Ah-Hwee Tan. Integrating Rules and Neural Computation. In proceedings, IEEE International Conference on Neural Networks, Vol. IV, pp. 1794-1799, Perth, Australia, 1995.

80.  Ah-Hwee Tan and Loo-Nin Teow. Learning by Supervised Clustering and Matching. In proceedings, IEEE International Conference on Neural Networks, Vol. I, pp.242-246, Perth, Australia, December 1995.

81.  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, Perth, Australia, December 1995.

82.  Ah-Hwee Tan and Loo-Nin Teow. Neural Logic Networks for Pattern Recognition, Time Series Prediction and Knowledge Integration. In proceedings, Real World Computing Joint Symposium, pp. 67-68, Tokyo, 1995.

83.  Ah-Hwee Tan. Adaptive Resonance Associative Map: A Neural Model for Heteroassociative Learning and Recall. In proceedings, International Conference on Neural Information Processing, Vol II, 731-736, Seoul, 17-21 October 1994.

84.  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.

85.  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.

86.  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.

87.  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.

88.  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.

89.  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.

90.  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.

91.  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.

92.  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.

93.  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.