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Ah-Hwee Tan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xing Jiang, Ah-Hwee Tan
    OntoSearch: A Full-Text Search Engine for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li
    FOCI: Flexible Organizer for Competitive Intelligence. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:523-525 [Conf]
  3. Kanagasabai Rajaraman, Ah-Hwee Tan
    Knowledge discovery from texts: a concept frame graph approach. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:669-671 [Conf]
  4. Tao Jiang, Ah-Hwee Tan
    Mining RDF Metadata for Generalized Association Rules. [Citation Graph (0, 0)][DBLP]
    DEXA, 2006, pp:223-233 [Conf]
  5. Ah-Hwee Tan, Dan Xiao
    Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:351-357 [Conf]
  6. Xing Jiang, Ah-Hwee Tan
    Mining Ontological Knowledge from Domain-Specific Text Documents. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:665-668 [Conf]
  7. Kanagasabai Rajaraman, Ah-Hwee Tan
    Mining Semantic Networks for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:633-636 [Conf]
  8. Ah-Hwee Tan
    Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1071-1076 [Conf]
  9. Ah-Hwee Tan
    Self-organizing Neural Architecture for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:470-475 [Conf]
  10. Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
    Dynamically-optimized context in recommender systems. [Citation Graph (0, 0)][DBLP]
    Mobile Data Management, 2005, pp:265-272 [Conf]
  11. Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
    Discovering Causal Dependencies in Mobile Context-Aware Recommenders. [Citation Graph (0, 0)][DBLP]
    MDM, 2006, pp:4- [Conf]
  12. Ah-Hwee Tan
    Predictive Self-Organizing Networks for Text Categorization. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:66-77 [Conf]
  13. Kanagasabai Rajaraman, Ah-Hwee Tan
    Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:102-107 [Conf]
  14. Ah-Hwee Tan, Hong Pan
    Adding Personality to Information Clustering. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2002, pp:251-256 [Conf]
  15. Ah-Hwee Tan, Hui-Shin Vivien Soon
    Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:173-176 [Conf]
  16. Tao Jiang, Ah-Hwee Tan
    Discovering Image-Text Associations for Cross-Media Web Information Fusion. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:561-568 [Conf]
  17. Ji He, Ah-Hwee Tan, Chew Lim Tan
    A Comparative Study on Chinese Text Categorization Methods. [Citation Graph (0, 0)][DBLP]
    PRICAI Workshop on Text and Web Mining, 2000, pp:24-35 [Conf]
  18. Samin Karim, Liz Sonenberg, Ah-Hwee Tan
    A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:200-211 [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:169-180 [Conf]
  20. Tao Jiang, Ah-Hwee Tan
    Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. [Citation Graph (0, 0)][DBLP]
    WWW, 2006, pp:951-952 [Conf]
  21. Xing Jiang, Ah-Hwee Tan
    Learning and inferencing in user ontology for personalized semantic web services. [Citation Graph (0, 0)][DBLP]
    WWW, 2006, pp:1067-1068 [Conf]
  22. Ji He, Ah-Hwee Tan, Chew Lim Tan
    On Machine Learning Methods for Chinese Document Categorization. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:3, pp:311-322 [Journal]
  23. Ah-Hwee Tan, Philip S. Yu
    Guest Editorial: Text and Web Mining. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:3, pp:239-241 [Journal]
  24. Ah-Hwee Tan, Loo-Nin Teow
    Inductive neural logic network and the SCM algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:14, n:2, pp:157-176 [Journal]
  25. Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng, Qiu-Xiang Li
    Towards personalised web intelligence. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2004, v:6, n:5, pp:595-616 [Journal]
  26. Ah-Hwee Tan
    Adaptive resonance associative map. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:3, pp:437-446 [Journal]
  27. Ah-Hwee Tan, Hong Pan
    Predictive neural networks for gene expression data analysis. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:297-306 [Journal]
  28. Tao Jiang, Ah-Hwee Tan, Ke Wang
    Mining Generalized Associations of Semantic Relations from Textual Web Content. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:2, pp:164-179 [Journal]
  29. Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
    Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:7, pp:977-992 [Journal]
  30. Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
    Fuzzy cognitive goal net for interactive storytelling plot design. [Citation Graph (0, 0)][DBLP]
    Advances in Computer Entertainment Technology, 2006, pp:56- [Conf]
  31. Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
    Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:354-0 [Conf]
  32. Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
    A Hybrid of Plot-Based and Character-Based Interactive Storytelling. [Citation Graph (0, 0)][DBLP]
    Edutainment, 2007, pp:260-273 [Conf]
  33. Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg
    Intelligence Through Interaction: Towards a Unified Theory for Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1094-1103 [Conf]
  34. Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-Hwee Tan
    Integrating Semantic Templates with Decision Tree for Image Semantic Learning. [Citation Graph (0, 0)][DBLP]
    MMM (2), 2007, pp:185-195 [Conf]
  35. Heng-Jie Song, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan, Guo-Peng Zhao
    The Multi-Agent Data Collection in HLA-Based Simulation System. [Citation Graph (0, 0)][DBLP]
    PADS, 2007, pp:61-69 [Conf]

  36. A self-organizing neural network architecture for intentional planning agents. [Citation Graph (, )][DBLP]


  37. Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. [Citation Graph (, )][DBLP]


  38. Scaling Up Multi-agent Reinforcement Learning in Complex Domains. [Citation Graph (, )][DBLP]


  39. Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. [Citation Graph (, )][DBLP]


  40. A Bayesian approach integrating regional and global features for image semantic learning. [Citation Graph (, )][DBLP]


  41. Faceted topic retrieval of news video using joint topic modeling of visual features and speech transcripts. [Citation Graph (, )][DBLP]


  42. Self-organizing neural models integrating rules and reinforcement learning. [Citation Graph (, )][DBLP]


  43. Ontology enhanced web image retrieval: aided by wikipedia & spreading activation theory. [Citation Graph (, )][DBLP]


  44. Wireless Indoor Positioning System with Enhanced Nearest Neighbors in Signal Space Algorithm. [Citation Graph (, )][DBLP]


  45. Integrated cognitive architectures: a survey. [Citation Graph (, )][DBLP]


  46. Explaining inferences in Bayesian networks. [Citation Graph (, )][DBLP]


  47. Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. [Citation Graph (, )][DBLP]


  48. Mining globally distributed frequent subgraphs in a single labeled graph. [Citation Graph (, )][DBLP]


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