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Masayuki Numao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura
    Discrimination-Based Constructive Induction of Logic Programs. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:44-49 [Conf]
  2. Masayuki Numao, Shoichi Takagi, Keisuke Nakamura
    Constructive Adaptive User Interfaces - Composing Music Based on Human Feelings. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:193-198 [Conf]
  3. Masayuki Numao, Shoichi Takagi, Keisuke Nakamura
    CAUI Demonstration Composing Music Based on Human Feelings. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:1010-0 [Conf]
  4. Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk
    Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:1-6 [Conf]
  5. Chowdhury Rahman Mofizur, Masayuki Numao
    Constructive Induction for Recursive Programs. [Citation Graph (0, 0)][DBLP]
    AII/ALT, 1994, pp:161-175 [Conf]
  6. Xiaolong Zhang, Masayuki Numao
    Learning and Revising Theories in Noisy Domains. [Citation Graph (0, 0)][DBLP]
    ALT, 1997, pp:339-351 [Conf]
  7. Ryutaro Ichise, Masayuki Numao
    First-Order Rule Mining by Using Graphs Created from Temporal Medical Data. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:112-125 [Conf]
  8. Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
    Mining Chemical Compound Structure Data Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:92-111 [Conf]
  9. Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda
    Active Mining Project: Overview. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:1-10 [Conf]
  10. Masayuki Numao
    Periodical Multi-secret Threshold Cryptosystems. [Citation Graph (0, 0)][DBLP]
    ASIACRYPT, 1999, pp:363-377 [Conf]
  11. Koichi Moriyama, Masayuki Numao
    Construction of a learning agent handling its rewards according to environmental situations. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1262-1263 [Conf]
  12. Masayuki Numao, Tetsunosuke Fujisaki
    Visual Debugger for Prolog. [Citation Graph (0, 0)][DBLP]
    CAIA, 1985, pp:422-427 [Conf]
  13. Xiaolong Zhang, Tetsuo Narita, Masayuki Numao
    Toward Effective Knowledge Acquisition with First Order Logic Induction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:399-400 [Conf]
  14. Masayuki Numao
    Analytical Learning of Inductive Inference. [Citation Graph (0, 0)][DBLP]
    ECAI, 1990, pp:473-478 [Conf]
  15. Koichi Moriyama, Masayuki Numao
    Self-evaluated Learning Agent in Multiple State Games. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:289-300 [Conf]
  16. Yuji Watanabe, Masayuki Numao
    Multi-round Secure-Light Broadcast Exclusion Protocol with Pre-processing. [Citation Graph (0, 0)][DBLP]
    ESORICS, 2003, pp:85-99 [Conf]
  17. Roberto S. Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao
    A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning. [Citation Graph (0, 0)][DBLP]
    CELDA, 2005, pp:199-206 [Conf]
  18. Roberto S. Legaspi, Raymund Sison, Masayuki Numao
    Self-Improving Instructional Plans on the Level of Student Categories. [Citation Graph (0, 0)][DBLP]
    ICALT, 2004, pp:- [Conf]
  19. Cholwich Nattee, Masayuki Numao
    Geometric Method for Document Understanding and Classification Using On-line Machine Learning. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:602-606 [Conf]
  20. Shinichi Morishita, Masayuki Numao, Shin'ichi Hirose
    Symbolical Construction of Truth Value Domain for Logic Program. [Citation Graph (0, 0)][DBLP]
    ICLP, 1987, pp:533-555 [Conf]
  21. Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura
    Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:417-421 [Conf]
  22. Masayuki Numao, Masamichi Shimura
    Explanation-Based Acceleration of Similarity-Based Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:58-60 [Conf]
  23. Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
    Learning first-order rules from data with multiple parts: applications on mining chemical compound data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  24. Tuan Nam Tran, Masayuki Numao
    Text Mining from Biomedical Literature Using Term Extraction and Associations Rule Mining. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:70-76 [Conf]
  25. Masayuki Numao, Masamichi Shimura
    A Knowledge-Level Analysis of Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 2), 1990, pp:959-967 [Conf]
  26. Masayuki Numao, Masashi Kobayashi, Katsuyuki Sakaniwa
    Acquisition of Human Feelings in Music Arrangements. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:268-273 [Conf]
  27. Rayond Sison, Masayuki Numao, Masamichi Shimura
    Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:274-279 [Conf]
  28. Tuan Nam Tran, Masayuki Numao
    Text Data Mining in Biomedical Literature by Combining with an Information Retrieval Approach. [Citation Graph (0, 0)][DBLP]
    INAP, 2001, pp:295-304 [Conf]
  29. Masayuki Numao
    A Secure Key Registration System based on Proactive Secret-Sharing Scheme. [Citation Graph (0, 0)][DBLP]
    ISADS, 1999, pp:230-237 [Conf]
  30. Yuji Watanabe, Masayuki Numao
    Conditional Cryptographic Delegation for P2P Data Sharing. [Citation Graph (0, 0)][DBLP]
    ISC, 2002, pp:309-321 [Conf]
  31. Roberto S. Legaspi, Raymund Sison, Masayuki Numao
    A Category-Based Self-Improving Planning Module. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:554-563 [Conf]
  32. Roberto S. Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao
    Music compositional intelligence with an affective flavor. [Citation Graph (0, 0)][DBLP]
    Intelligent User Interfaces, 2007, pp:216-224 [Conf]
  33. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
    Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps. [Citation Graph (0, 0)][DBLP]
    KES (4), 2005, pp:745-751 [Conf]
  34. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
    Visualization Architecture Based on SOM for Two-Class Sequential Data. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:929-936 [Conf]
  35. Shinichi Morishita, Masayuki Numao
    Prolog Computation Model BPM and its Debugger PROEDIT2. [Citation Graph (0, 0)][DBLP]
    LP, 1986, pp:147-158 [Conf]
  36. Masayuki Numao
    Update Propagation Network - A Framework for Constraint Programming. [Citation Graph (0, 0)][DBLP]
    LP, 1987, pp:40-49 [Conf]
  37. Masayuki Numao, H. Maruyama
    PROEDIT - A Screen Oriented Prolog Programming Environment. [Citation Graph (0, 0)][DBLP]
    LP, 1985, pp:100-107 [Conf]
  38. Masayuki Numao, Shigekazu Morita, Kenichi Karaki
    A Learning Mechanism for Logic Programs Using Dynamically Shared Substructures. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:268-284 [Conf]
  39. Masayuki Numao, T. Maruoka, Masamichi Shimura
    Inductively Speeding Up Logic Programs. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:441-458 [Conf]
  40. Takashi Ishikawa, Masayuki Numao, Takao Terano
    Discovering Protein Functional Models Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:212-215 [Conf]
  41. Oscar Ortega Lobo, Masayuki Numao
    Ordered Estimation of Missing Values. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:499-503 [Conf]
  42. Takashi Ishikawa, Masayuki Numao, Takao Terano
    Using Domain Knowledge in ILP to Discover Protein Functional Models. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:83-92 [Conf]
  43. Roberto S. Legaspi, Yuya Hashimoto, Masayuki Numao
    An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:890-894 [Conf]
  44. Roberto S. Legaspi, Raymund Sison, Masayuki Numao
    MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:114-123 [Conf]
  45. Chowdhury Rahman Mofizur, Masayuki Numao
    Learning Simple Recursive Concepts by Discovering Missing Examples. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:360-371 [Conf]
  46. Koichi Moriyama, Masayuki Numao
    Constructing an Autonomous Agent with an Interdependent Heuristics. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:329-339 [Conf]
  47. Xiaolong Zhang, Masayuki Numao
    Efficient Multiple Predicate Learner Based on Fast Failure Mechanism. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:35-46 [Conf]
  48. Masayuki Numao, Masamichi Shimura
    Evaluation of Graph Representations with Active Nodes. [Citation Graph (0, 0)][DBLP]
    RIMS Symposia on Software Science and Engineering, 1984, pp:17-43 [Conf]
  49. Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
    Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data. [Citation Graph (0, 0)][DBLP]
    SAINT Workshops, 2005, pp:332-335 [Conf]
  50. Shuichi Shimizu, Masayuki Numao
    Constraint-Based Design for 3D Shapes. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:91, n:1, pp:51-69 [Journal]
  51. Hiroshi Masuda, Masayuki Numao
    A cell-based approach for generating solid objects from orthographic projections. [Citation Graph (0, 0)][DBLP]
    Computer-Aided Design, 1997, v:29, n:3, pp:177-187 [Journal]
  52. Xiaolong Zhang, Masayuki Numao
    Toward Effective Knowledge Acquisition with First-Order Logic Induction. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2002, v:17, n:5, pp:565-577 [Journal]
  53. Raymund Sison, Masayuki Numao, Masamichi Shimura
    Multistrategy Discovery and Detection of Novice Programmer Errors. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:1-2, pp:157-180 [Journal]
  54. Nada Lavrac, Saso Dzeroski, Masayuki Numao
    Inductive Logic Programming for Relational Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1999, v:17, n:1, pp:3-23 [Journal]
  55. Masayuki Numao
    How Should Prolog Computation Be Represented for Practical Use? [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1990, v:8, n:2, pp:95-112 [Journal]
  56. Masayuki Numao, Taisuke Sato
    Tutorial Series on Web-computing - Preface. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 2001, v:19, n:2, pp:193- [Journal]
  57. Ryutaro Ichise, Masayuki Numao
    Learning relational rule from examples that are neither positive nor negative. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2001, v:32, n:14, pp:34-40 [Journal]
  58. Tsuyoshi Murata, Hiroki Kato, Masamichi Shimura, Masayuki Numao
    DIPS: Diagrammatic arithmetic problem solver. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:6, pp:112-120 [Journal]
  59. Raymund Sison, Masayuki Numao, Masamichi Shimura
    Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:103-129 [Journal]
  60. Christine Robson, Yuji Watanabe, Masayuki Numao
    Parts Traceability for Manufacturers. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:1212-1221 [Conf]
  61. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
    Interpretable Likelihood for Vector Representable Topic. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:202-209 [Conf]
  62. Wen-Syan Li, Dengfeng Gao, Rafae Bhatti, Inderpal Narang, Hirofumi Matsuzawa, Masayuki Numao, Masahiro Ohkawa, Takeshi Fukuda
    Deadline and QoS Aware Data Warehouse. [Citation Graph (0, 0)][DBLP]
    VLDB, 2007, pp:1418-1421 [Conf]
  63. Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao
    Reinforcement Learning on a Futures Market Simulator. [Citation Graph (0, 0)][DBLP]
    KES-AMSTA, 2007, pp:42-52 [Conf]

  64. Constructive Adaptive User Interfaces Based on Brain Waves. [Citation Graph (, )][DBLP]


  65. Pheromone Approach to the Adaptive Discovery of Sensor-Network Topology. [Citation Graph (, )][DBLP]


  66. Predicting High-level Student Responses Using Conceptual Clustering. [Citation Graph (, )][DBLP]


  67. Knowledge Discovery for Hepatitis C Virus Diagnosis: A Framework for Mining Interesting Classification Rules. [Citation Graph (, )][DBLP]


  68. Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell. [Citation Graph (, )][DBLP]


  69. Addressing the problems of data-centric physiology-affect relations modeling. [Citation Graph (, )][DBLP]


  70. Elucidating Relationships among Research Subjects from Grant Application Data. [Citation Graph (, )][DBLP]


  71. Growth Analysis of Neighbor Network for Evaluation of Damage Progress. [Citation Graph (, )][DBLP]


  72. Trace Mining from Distributed Assembly Databases for Causal Analysis. [Citation Graph (, )][DBLP]


  73. Three-Subagent Adapting Architecture for Fighting Videogames. [Citation Graph (, )][DBLP]


  74. Method for fast compression of program codes for remote updates in embedded systems. [Citation Graph (, )][DBLP]


  75. Traffic congestion forecasting based on pheromone communication model for intelligent transport systems. [Citation Graph (, )][DBLP]


  76. Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses. [Citation Graph (, )][DBLP]


  77. Academic Roadmap in Integrated Information Field. [Citation Graph (, )][DBLP]


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