2010 | ||
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55 | Xing Jiang, Ah-Hwee Tan: CRCTOL: A semantic-based domain ontology learning system. JASIST 61(1): 150-168 (2010) | |
2009 | ||
54 | 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 Springer 2009 | |
53 | Budhitama Subagdja, Ah-Hwee Tan: A self-organizing neural network architecture for intentional planning agents. AAMAS (2) 2009: 1081-1088 | |
52 | 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) | |
51 | 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) | |
50 | Tao Jiang, Ah-Hwee Tan: Learning Image-Text Associations. IEEE Trans. Knowl. Data Eng. 21(2): 161-177 (2009) | |
49 | Xing Jiang, Ah-Hwee Tan: Learning and inferencing in user ontology for personalized Semantic Web search. Inf. Sci. 179(16): 2794-2808 (2009) | |
2008 | ||
48 | Budhitama Subagdja, Ah-Hwee Tan: Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. IAT 2008: 231-237 | |
47 | Teck-Hou Teng, Ah-Hwee Tan: Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. IAT 2008: 318-321 | |
46 | Dan Xiao, Ah-Hwee Tan: Scaling Up Multi-agent Reinforcement Learning in Complex Domains. IAT 2008: 326-329 | |
45 | Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan: Self-organizing neural models integrating rules and reinforcement learning. IJCNN 2008: 3771-3778 | |
44 | 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 | |
43 | Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang: Explaining inferences in Bayesian networks. Appl. Intell. 29(3): 263-278 (2008) | |
42 | Ah-Hwee Tan, N. Lu, Dan Xiao: Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback. IEEE Transactions on Neural Networks 19(2): 230-244 (2008) | |
41 | 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) | |
2007 | ||
40 | 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 | |
39 | Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen: A Hybrid of Plot-Based and Character-Based Interactive Storytelling. Edutainment 2007: 260-273 | |
38 | Ah-Hwee Tan: Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. IJCAI 2007: 1071-1076 | |
37 | Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg: Intelligence Through Interaction: Towards a Unified Theory for Learning. ISNN (1) 2007: 1094-1103 | |
36 | Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-Hwee Tan: Integrating Semantic Templates with Decision Tree for Image Semantic Learning. MMM (2) 2007: 185-195 | |
35 | 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 | |
34 | Hui-Qing Chong, Ah-Hwee Tan, Gee-Wah Ng: Integrated cognitive architectures: a survey. Artif. Intell. Rev. 28(2): 103-130 (2007) | |
33 | 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) | |
32 | 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) | |
31 | Dan Xiao, Ah-Hwee Tan: Self-Organizing Neural Architectures and Cooperative Learning in a Multiagent Environment. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(6): 1567-1580 (2007) | |
2006 | ||
30 | Jinyan Li, Qiang Yang, Ah-Hwee Tan: Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings Springer 2006 | |
29 | Xing Jiang, Ah-Hwee Tan: OntoSearch: A Full-Text Search Engine for the Semantic Web. AAAI 2006 | |
28 | 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 | |
27 | Tao Jiang, Ah-Hwee Tan: Mining RDF Metadata for Generalized Association Rules. DEXA 2006: 223-233 | |
26 | Ah-Hwee Tan: Self-organizing Neural Architecture for Reinforcement Learning. ISNN (1) 2006: 470-475 | |
25 | Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang: Discovering Causal Dependencies in Mobile Context-Aware Recommenders. MDM 2006: 4 | |
24 | Tao Jiang, Ah-Hwee Tan: Discovering Image-Text Associations for Cross-Media Web Information Fusion. PKDD 2006: 561-568 | |
23 | Samin Karim, Liz Sonenberg, Ah-Hwee Tan: A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. PRICAI 2006: 200-211 | |
22 | 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 | |
21 | Xing Jiang, Ah-Hwee Tan: Learning and inferencing in user ontology for personalized semantic web services. WWW 2006: 1067-1068 | |
20 | Tao Jiang, Ah-Hwee Tan: Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. WWW 2006: 951-952 | |
2005 | ||
19 | Ah-Hwee Tan, Dan Xiao: Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment. IAT 2005: 351-357 | |
18 | Xing Jiang, Ah-Hwee Tan: Mining Ontological Knowledge from Domain-Specific Text Documents. ICDM 2005: 665-668 | |
17 | Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang: Dynamically-optimized context in recommender systems. Mobile Data Management 2005: 265-272 | |
16 | Ah-Hwee Tan, Hong Pan: Predictive neural networks for gene expression data analysis. Neural Networks 18(3): 297-306 (2005) | |
2004 | ||
15 | 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) | |
2003 | ||
14 | Kanagasabai Rajaraman, Ah-Hwee Tan: Mining Semantic Networks for Knowledge Discovery. ICDM 2003: 633-636 | |
13 | Ji He, Ah-Hwee Tan, Chew Lim Tan, Sam Yuan Sung: On Quantitative Evaluation of Clustering Systems. Clustering and Information Retrieval 2003: 105-134 | |
12 | Ah-Hwee Tan, Philip S. Yu: Guest Editorial: Text and Web Mining. Appl. Intell. 18(3): 239-241 (2003) | |
11 | Ji He, Ah-Hwee Tan, Chew Lim Tan: On Machine Learning Methods for Chinese Document Categorization. Appl. Intell. 18(3): 311-322 (2003) | |
2002 | ||
10 | Kanagasabai Rajaraman, Ah-Hwee Tan: Knowledge discovery from texts: a concept frame graph approach. CIKM 2002: 669-671 | |
9 | Ah-Hwee Tan, Hong Pan: Adding Personality to Information Clustering. PAKDD 2002: 251-256 | |
2001 | ||
8 | Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li: FOCI: Flexible Organizer for Competitive Intelligence. CIKM 2001: 523-525 | |
7 | Kanagasabai Rajaraman, Ah-Hwee Tan: Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. PAKDD 2001: 102-107 | |
6 | Ah-Hwee Tan: Predictive Self-Organizing Networks for Text Categorization. PAKDD 2001: 66-77 | |
2000 | ||
5 | Ah-Hwee Tan, Hui-Shin Vivien Soon: Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. PAKDD 2000: 173-176 | |
4 | 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 | |
1997 | ||
3 | Ah-Hwee Tan, Loo-Nin Teow: Inductive neural logic network and the SCM algorithm. Neurocomputing 14(2): 157-176 (1997) | |
1996 | ||
2 | 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 | ||
1 | Ah-Hwee Tan: Adaptive resonance associative map. Neural Networks 8(3): 437-446 (1995) |