2009 |
76 | EE | Shohei Hido,
Hirofumi Matsuzawa,
Fumihiko Kitayama,
Masayuki Numao:
Trace Mining from Distributed Assembly Databases for Causal Analysis.
PAKDD 2009: 731-740 |
75 | EE | Ken-ichi Fukui,
Kazuhisa Sato,
Junichiro Mizusaki,
Kazumi Saito,
Masahiro Kimura,
Masayuki Numao:
Growth Analysis of Neighbor Network for Evaluation of Damage Progress.
PAKDD 2009: 933-940 |
74 | EE | Ryozo Kiyohara,
Satoshi Mii,
Mitsuhiro Matsumoto,
Masayuki Numao,
Satoshi Kurihara:
Method for fast compression of program codes for remote updates in embedded systems.
SAC 2009: 1683-1684 |
2008 |
73 | EE | Hiroshi Tamaki,
Ken-ichi Fukui,
Masayuki Numao,
Satoshi Kurihara:
Pheromone Approach to the Adaptive Discovery of Sensor-Network Topology.
IAT 2008: 41-47 |
72 | EE | Ryutaro Ichise,
Kazuhiro Satoh,
Masayuki Numao:
Elucidating Relationships among Research Subjects from Grant Application Data.
IV 2008: 427-432 |
71 | | Koichi Moriyama,
Mitsuhiro Matsumoto,
Ken-ichi Fukui,
Satoshi Kurihara,
Masayuki Numao:
Reinforcement Learning on a Futures Market Simulator.
J. UCS 14(7): 1136-1153 (2008) |
70 | EE | Toshihito Sugimoto,
Roberto S. Legaspi,
Akihiro Ota,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Modelling affective-based music compositional intelligence with the aid of ANS analyses.
Knowl.-Based Syst. 21(3): 200-208 (2008) |
2007 |
69 | EE | Christine Robson,
Yuji Watanabe,
Masayuki Numao:
Parts Traceability for Manufacturers.
ICDE 2007: 1212-1221 |
68 | EE | Nuanwan Soonthornphisaj,
Supakpong Jinaratana,
Taweesak Tanwandee,
Masayuki Numao:
Knowledge Discovery for Hepatitis C Virus Diagnosis: A Framework for Mining Interesting Classification Rules.
ICIC (3) 2007: 171-179 |
67 | EE | Ken-ichi Fukui,
Kazuhisa Sato,
Junichiro Mizusaki,
Kazumi Saito,
Masayuki Numao:
Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell.
ICTAI (2) 2007: 193-196 |
66 | EE | Roberto S. Legaspi,
Yuya Hashimoto,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Music compositional intelligence with an affective flavor.
IUI 2007: 216-224 |
65 | EE | Ken-ichi Fukui,
Kazumi Saito,
Masahiro Kimura,
Masayuki Numao:
Interpretable Likelihood for Vector Representable Topic.
KES (3) 2007: 202-209 |
64 | EE | Koichi Moriyama,
Mitsuhiro Matsumoto,
Ken-ichi Fukui,
Satoshi Kurihara,
Masayuki Numao:
Reinforcement Learning on a Futures Market Simulator.
KES-AMSTA 2007: 42-52 |
63 | EE | Wen-Syan Li,
Dengfeng Gao,
Rafae Bhatti,
Inderpal Narang,
Hirofumi Matsuzawa,
Masayuki Numao,
Masahiro Ohkawa,
Takeshi Fukuda:
Deadline and QoS Aware Data Warehouse.
VLDB 2007: 1418-1421 |
62 | EE | Masayuki Numao,
Tu Bao Ho:
Active Mining.
New Generation Comput. 25(3): 201-202 (2007) |
2006 |
61 | EE | Ken-ichi Fukui,
Kazumi Saito,
Masahiro Kimura,
Masayuki Numao:
Visualization Architecture Based on SOM for Two-Class Sequential Data.
KES (2) 2006: 929-936 |
60 | EE | Roberto S. Legaspi,
Yuya Hashimoto,
Masayuki Numao:
An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface.
PRICAI 2006: 890-894 |
2005 |
59 | | Shusaku Tsumoto,
Takahira Yamaguchi,
Masayuki Numao,
Hiroshi Motoda:
Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers
Springer 2005 |
58 | | Roberto S. Legaspi,
Raymund Sison,
Ken-ichi Fukui,
Masayuki Numao:
A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning.
CELDA 2005: 199-206 |
57 | | Roberto S. Legaspi,
Raymund Sison,
Ken-ichi Fukui,
Masayuki Numao:
Predicting High-level Student Responses Using Conceptual Clustering.
ICCE 2005: 761-764 |
56 | EE | Ken-ichi Fukui,
Kazumi Saito,
Masahiro Kimura,
Masayuki Numao:
Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps.
KES (4) 2005: 745-751 |
55 | EE | Cholwich Nattee,
Sukree Sinthupinyo,
Masayuki Numao,
Takashi Okada:
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data.
SAINT Workshops 2005: 332-335 |
2004 |
54 | | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
Self-Improving Instructional Plans on the Level of Student Categories.
ICALT 2004 |
53 | EE | Cholwich Nattee,
Sukree Sinthupinyo,
Masayuki Numao,
Takashi Okada:
Learning first-order rules from data with multiple parts: applications on mining chemical compound data.
ICML 2004 |
52 | EE | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
A Category-Based Self-Improving Planning Module.
Intelligent Tutoring Systems 2004: 554-563 |
51 | EE | 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.
PRICAI 2004: 114-123 |
2003 |
50 | EE | Shusaku Tsumoto,
Takahira Yamaguchi,
Masayuki Numao,
Hiroshi Motoda:
Active Mining Project: Overview.
Active Mining 2003: 1-10 |
49 | EE | Ryutaro Ichise,
Masayuki Numao:
First-Order Rule Mining by Using Graphs Created from Temporal Medical Data.
Active Mining 2003: 112-125 |
48 | EE | Cholwich Nattee,
Sukree Sinthupinyo,
Masayuki Numao,
Takashi Okada:
Mining Chemical Compound Structure Data Using Inductive Logic Programming.
Active Mining 2003: 92-111 |
47 | EE | Koichi Moriyama,
Masayuki Numao:
Self-evaluated Learning Agent in Multiple State Games.
ECML 2003: 289-300 |
46 | EE | Yuji Watanabe,
Masayuki Numao:
Multi-round Secure-Light Broadcast Exclusion Protocol with Pre-processing.
ESORICS 2003: 85-99 |
2002 |
45 | | Nicolò Cesa-Bianchi,
Masayuki Numao,
Rüdiger Reischuk:
Algorithmic Learning Theory, 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings
Springer 2002 |
44 | | Masayuki Numao,
Shoichi Takagi,
Keisuke Nakamura:
CAUI Demonstration Composing Music Based on Human Feelings.
AAAI/IAAI 2002: 1010- |
43 | | Masayuki Numao,
Shoichi Takagi,
Keisuke Nakamura:
Constructive Adaptive User Interfaces - Composing Music Based on Human Feelings.
AAAI/IAAI 2002: 193-198 |
42 | EE | Koichi Moriyama,
Masayuki Numao:
Construction of a learning agent handling its rewards according to environmental situations.
AAMAS 2002: 1262-1263 |
41 | EE | Nicolò Cesa-Bianchi,
Masayuki Numao,
Rüdiger Reischuk:
Editors' Introduction.
ALT 2002: 1-6 |
40 | | Tuan Nam Tran,
Masayuki Numao:
Text Mining from Biomedical Literature Using Term Extraction and Associations Rule Mining.
ICMLA 2002: 70-76 |
39 | EE | Yuji Watanabe,
Masayuki Numao:
Conditional Cryptographic Delegation for P2P Data Sharing.
ISC 2002: 309-321 |
38 | EE | Xiaolong Zhang,
Masayuki Numao:
Toward Effective Knowledge Acquisition with First-Order Logic Induction.
J. Comput. Sci. Technol. 17(5): 565-577 (2002) |
37 | EE | Tsuyoshi Murata,
Hiroki Kato,
Masamichi Shimura,
Masayuki Numao:
DIPS: Diagrammatic arithmetic problem solver.
Systems and Computers in Japan 33(6): 112-120 (2002) |
2001 |
36 | EE | Cholwich Nattee,
Masayuki Numao:
Geometric Method for Document Understanding and Classification Using On-line Machine Learning.
ICDAR 2001: 602-606 |
35 | EE | Tuan Nam Tran,
Masayuki Numao:
Text Data Mining in Biomedical Literature by Combining with an Information Retrieval Approach.
INAP 2001: 295-304 |
34 | | Masayuki Numao,
Taisuke Sato:
Tutorial Series on Web-computing - Preface.
New Generation Comput. 19(2): 193 (2001) |
33 | EE | Ryutaro Ichise,
Masayuki Numao:
Learning relational rule from examples that are neither positive nor negative.
Systems and Computers in Japan 32(14): 34-40 (2001) |
2000 |
32 | | Takashi Ishikawa,
Masayuki Numao,
Takao Terano:
Discovering Protein Functional Models Using Inductive Logic Programming.
PAKDD 2000: 212-215 |
31 | | Koichi Moriyama,
Masayuki Numao:
Constructing an Autonomous Agent with an Interdependent Heuristics.
PRICAI 2000: 329-339 |
30 | | Takashi Ishikawa,
Masayuki Numao,
Takao Terano:
Using Domain Knowledge in ILP to Discover Protein Functional Models.
PRICAI 2000: 83-92 |
29 | | Raymund Sison,
Masayuki Numao,
Masamichi Shimura:
Multistrategy Discovery and Detection of Novice Programmer Errors.
Machine Learning 38(1-2): 157-180 (2000) |
1999 |
28 | | Masayuki Numao:
Periodical Multi-secret Threshold Cryptosystems.
ASIACRYPT 1999: 363-377 |
27 | EE | Masayuki Numao:
A Secure Key Registration System based on Proactive Secret-Sharing Scheme.
ISADS 1999: 230-237 |
26 | EE | Oscar Ortega Lobo,
Masayuki Numao:
Ordered Estimation of Missing Values.
PAKDD 1999: 499-503 |
25 | | Nada Lavrac,
Saso Dzeroski,
Masayuki Numao:
Inductive Logic Programming for Relational Knowledge Discovery.
New Generation Comput. 17(1): 3-23 (1999) |
1998 |
24 | EE | Xiaolong Zhang,
Tetsuo Narita,
Masayuki Numao:
Toward Effective Knowledge Acquisition with First Order Logic Induction.
Discovery Science 1998: 399-400 |
23 | EE | Raymund Sison,
Masayuki Numao,
Masamichi Shimura:
Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering.
User Model. User-Adapt. Interact. 8(1-2): 103-129 (1998) |
1997 |
22 | | Xiaolong Zhang,
Masayuki Numao:
Learning and Revising Theories in Noisy Domains.
ALT 1997: 339-351 |
21 | | Masayuki Numao,
Masashi Kobayashi,
Katsuyuki Sakaniwa:
Acquisition of Human Feelings in Music Arrangements.
IJCAI (1) 1997: 268-273 |
20 | | Rayond Sison,
Masayuki Numao,
Masamichi Shimura:
Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery.
IJCAI (1) 1997: 274-279 |
19 | EE | Shuichi Shimizu,
Masayuki Numao:
Constraint-Based Design for 3D Shapes.
Artif. Intell. 91(1): 51-69 (1997) |
18 | EE | Hiroshi Masuda,
Masayuki Numao:
A cell-based approach for generating solid objects from orthographic projections.
Computer-Aided Design 29(3): 177-187 (1997) |
1996 |
17 | | Xiaolong Zhang,
Masayuki Numao:
Efficient Multiple Predicate Learner Based on Fast Failure Mechanism.
PRICAI 1996: 35-46 |
16 | | Chowdhury Rahman Mofizur,
Masayuki Numao:
Learning Simple Recursive Concepts by Discovering Missing Examples.
PRICAI 1996: 360-371 |
1995 |
15 | | Masayuki Numao,
Shigekazu Morita,
Kenichi Karaki:
A Learning Mechanism for Logic Programs Using Dynamically Shared Substructures.
Machine Intelligence 15 1995: 268-284 |
1994 |
14 | | Chowdhury Rahman Mofizur,
Masayuki Numao:
Constructive Induction for Recursive Programs.
AII/ALT 1994: 161-175 |
13 | | Masayuki Numao,
T. Maruoka,
Masamichi Shimura:
Inductively Speeding Up Logic Programs.
Machine Intelligence 13 1994: 441-458 |
1992 |
12 | | Boonserm Kijsirikul,
Masayuki Numao,
Masamichi Shimura:
Discrimination-Based Constructive Induction of Logic Programs.
AAAI 1992: 44-49 |
1991 |
11 | | Boonserm Kijsirikul,
Masayuki Numao,
Masamichi Shimura:
Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals.
ML 1991: 417-421 |
1990 |
10 | | Masayuki Numao:
Analytical Learning of Inductive Inference.
ECAI 1990: 473-478 |
9 | EE | Masayuki Numao,
Masamichi Shimura:
A Knowledge-Level Analysis of Explanation-Based Learning.
IEA/AIE (Vol. 2) 1990: 959-967 |
8 | | Masayuki Numao:
How Should Prolog Computation Be Represented for Practical Use?
New Generation Comput. 8(2): 95-112 (1990) |
1989 |
7 | | Masayuki Numao,
Masamichi Shimura:
Explanation-Based Acceleration of Similarity-Based Learning.
ML 1989: 58-60 |
1987 |
6 | | Shinichi Morishita,
Masayuki Numao,
Shin'ichi Hirose:
Symbolical Construction of Truth Value Domain for Logic Program.
ICLP 1987: 533-555 |
5 | | Masayuki Numao:
Update Propagation Network - A Framework for Constraint Programming.
LP 1987: 40-49 |
1986 |
4 | | Shinichi Morishita,
Masayuki Numao:
Prolog Computation Model BPM and its Debugger PROEDIT2.
LP 1986: 147-158 |
1985 |
3 | | Masayuki Numao,
Tetsunosuke Fujisaki:
Visual Debugger for Prolog.
CAIA 1985: 422-427 |
2 | | Masayuki Numao,
H. Maruyama:
PROEDIT - A Screen Oriented Prolog Programming Environment.
LP 1985: 100-107 |
1984 |
1 | | Masayuki Numao,
Masamichi Shimura:
Evaluation of Graph Representations with Active Nodes.
RIMS Symposia on Software Science and Engineering 1984: 17-43 |