Department of Reasoning for Intelligence , Division of Information and Quantum Sciences , The Institute of Scientific and Industrial Research( I.S.I.R ) , Osaka University

Publications

Modification Date: Jube 5th, 2019
This list may not contain some latest publications.

Recent Academic Publications of Each Member on Baisc AI Research
Takashi Washio, Satoshi Hara, Matthew J. Holland

Journal Papers

Since 1996

  1. A. Yoshida, M. Asakura, H. Asanuma, A. Ishii, T. Hasegawa, T. Minamino, S. Takashima, H. Kanzaki, T. Washio and M. Kitakaze: Derivation of a mathematical expression for predicting the time to cardiac events in patients with heart failure: a retrospective clinical study, Hypertension Research, The Japanese Society of Hypertension, Vol. 36, No. 5, pp. 450-456 (2013)
  2. Y. Sogawa, T. Ueno, Y. Kawahara and T. Washio: Active learning for noisy oracle via density power divergence, Neural Networks, Vol. 46, pp. 133-143 (2013)
  3. S. Hara, T. Ono, R. Okamoto, T. Washio and S. Takeuchi: Anomaly Detection in Reconstructed Quantumn StatesUsing a Machine Learning Technique, Phys. Rev. A, Vol. 89, 022104 (2014)
  4. T. Tashiro, S. Shimizu, A. Hyvarinen, T. Washio: ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders, Neural Computation, Vol.26, pp. 57-83 (2014)
  5. J. R. Wells, K. M. Ting and T. Washio: LiNearN: A new approach to nearest neighbour density estimator, Pattern Recognition, Elsevier, in press (2014)
  6. C. A. Azencott, D. Grimm, M. Sugiyama, Y. Kawahara, and K.M. Borgwardt: Efficient network-guided multi-locus association mapping with graph cuts, Bioinformatics, Vol. 29, No. 13, pp. i171-i179 (2013)
  7. S. Shimizu: Joint estimation of linear non-Gaussian acyclic models, Neurocomputing, Vol.81, pp.104-107 (2012)
  8. Y. Kawahara and M. Sugiyama: Sequential change-point detection based on density-ratio estimation, Statistical Analysis and Data Mining, Vol. 5, No. 2, pp.114-127 (2012)
  9. H. Hara, Y. Kawahara, T. Washio, P. von Bunau, T. Tokunaga and K. Yumoto: Separation of stationary and non-stationary sources with a generalized eigenvalue problem, Neural Networks, Vol. 33, pp.7-20 (2012)
  10. A. Takeda, M. Niranjan, J. Goto and Y. Kawahara: Simultaneous pursuit of out-of-sample performance and sparsity in tracking portfolio, Computational Management Science, Vol. 10, No. 1, pp.21-49 (2013)
  11. A. Yoshida, M. Asakura, H. Asanuma, A. Ishii, T. Hasegawa, T. Minamino, S. Takashima, H. Kanzaki, T. Washio and M. Kitakaze: Derivation of a mathematical expression for predicting the time to cardiac events in patients with heart failure: a retrospective clinical study, Hypertension Research, doi: 10.1038/hr.2012.200, pp. 1-7 (2012)
  12. K. M. Ting, T. Washio, J. R. Wells, F. T. Liu and S. Aryal: DEMass: A new density estimator for big data, Knowledge and Information Systems: An International Journal, (Knowl Inf Syst: KAIS), Vol. 34, No. 2, DOI 10.1007/s10115-013-0612-3 (2013)
  13. S. Hara and T. Washio : Learning a Common Substructure of Multiple Graphical Gaussian Models, Neural Networks, Vol. 38, pp. 23-38 (2012)
  14. H. Kuwajima, T. Washio and L. Ee-Peng : Fast and Accurate PSD Matrix Estimation by Row Reduction, IEICE TRANSACTIONS on Information and Systems, E95-D, No. 11, pp. 2599-2612 (2012)
  15. S. Hara, Y. Kawahara, T. Washio, P. V. Bunau, T. Tokunaga and K. Yumoto : Separation of stationary and non-stationary sources with a generalized eigenvalue problem, Neural Networks, Vol. 33, pp.7-20 (2012)
  16. S. Shimizu, T. Inazumi, Y. Sogawa, A. Hyvarinen, Y. Kawaharam, T. Washio, P.O. Hoyer and K. Bollen: DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model, Jornal of Machine Learning, Vol.12, pp. 1225-1248 (2011)
  17. Y. Kawahara, S. Shimizu, and T. Washio: Analyzing relationships among ARMA processes based on non-Gaussianity of external influences, Neurocomputing, Vol. 74(12-13), pp. 2212-2221 (2011)
  18. Y. Sogawa, S. Shimizu, T. Shimamura, A. Hyvarinen, T. Washio and S. Imoto: Estimating Exogenous Variables in Data with More Variables than Observations, Neural Networks, Vol. 24, No. 8, pp. 875-880 (2011)
  19. V. P. Nguyen, T. Washio and T. Higuchi: A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution, International Journal of Knowledge Engineering and Soft Data Paradigms, Vol.2, No.4, pp.284-311 (2010)
  20. A. Hyvarinen, K. Zhang, S. Shimizu and P. O. Hoyer: Estimation of a structural vector autoregression model using nonGaussianity, Journal of Machine Learning Research, Vol. 11, pp.1709-1731(2010)
  21. Y. Kawahara, K. Nagano and Y. Okamoto: Submodular fractional programming for balanced clustering, Pattern Recognition Letters, Vol. 32, pp. 235-243 (2010)
  22. A. Inokuchi and T. Washio: GTRACE: Mining Frequent Subsequences from Graph Sequences, IEICE Transactions, 93-D, No. 10, pp.2792-2804 (2010)
  23. S. Shimizu, P. O. Hoyer and A. Hyvarinen: Estimation of linear non-Gaussian acyclic models for latent factors, Neurocomputing, pp.2024-2027 (2009)
  24. Katsutoshi Yada, Takashi Washio and Yasuharu Ukai: Modelling deposit outflow in financial crises: application to branch management and customer relationship management, Int. J. Advanced Intelligence Paradigms, Vol. 2, No. 2/3 (2009)
  25. S. Shimizu and Y. Kano: Use of Non-Normality in Structural Equation Modeling: Application to Direction of Causation, J. of Statistical Planning and Inference, Vol.138, pp.3483-3491 (2008)
  26. P. O. Hoyer, S. Shimizu: A. Kerminen and M. Palviainen, Estimation of Causal Effects Using Linear Non-Gaussian Causal Models with Hidden Variables, International Journal of Approximate Reasoning, Vol.49, pp.362-378 (2008)
  27. Viet Phuong Nguyen and Takashi Washio: Modeling Dynamic Substate Chains among Massive States, Intelligent Data Analysis, Vol.12, No.3, pp.271-291 (2008)
  28. Alexandre Termier, Marie-Christine Rousset, Miche` le Sebag, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm, IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 2, pp.300-320 (2008)
  29. Takashi Washio, Koutarou Nakanishi and Hiroshi Motoda: A Classification Method Based on Subspace Clustering and Association Rules, New Generation Computing, Vol.25, pp.235-245, 2007, Ohmusha, Ltd. And Springer (2007)
  30. A. Inokuchi, K. Takeda, N. Inaoka and F. Wakao: MedTAKMI-CDI: Interactive knowledge discovery for clinical decision intelligence, IBM Systems Journal Vol.46, No.1, pp.115-134 (2007)
  31. S. Shimizu, P. O. Hoyer, A. Hyvarinen and A. Kerminen: A Linear Non-Gaussian Acyclic Model for Causal Discovery, J. Machine Learning Research, Vol.7, pp.2003-2030 (2006)
  32. S. Shimizu, A. Hyvarinen, P. O. Hoyer and Y. Kano: Finding a Causal Ordering Via Independent Component Analysis, Comp. Stat. & Data Analysis, Vol.50, pp.3278-3293 (2006)
  33. Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio: A study on rough set-aided feature selection for automatic web-page classification, WIAS Journal, Vol. 4, No. 4, pp.431-441, IOS Press (2006)
  34. Fuminori Adachi, Takashi Washio, Hiroshi Motoda: Scientific Discovery of Dynamic Models Based on Scale-type Constraints, IPSJ Transactions on Mathematical Modeling and Its Applications, Vol.47, No.SIG14(TOM15), pp.31-42 (2006)
  35. Katsuyoshi Yada, Hiroshi Motoda, and Takashi Washio: Consumer Behavior Analysis By Graph Mining Technique, New Mathematics and Natural Computation, Vol.2, pp.59-68 (2006)
  36. Fuminori Adachi, Takashi Washio, Atsushi Fujimoto and Hiroshi Motoda: Development of Generic Search Method Based on Transformation Invariance, New Generation Computing, Vol. 23, No. 4, pp.291-314 (2005)
  37. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs, Journal of Fundamenta Informatiae, Special issue on Advances in Mining Graphs, Trees and Sequence, Volume 66, Number 1-2, pp.53-82  (2005)
  38. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi and Katsuhiko Takabayashi: Constructing a Decision Tree for Graph-Structured Data and its Applications, Journal of Fundamenta Informatiae, Special issue on Advances in Mining Graphs, Trees and Sequence, Volume 66, Number 1-2, pp.131-160 (2005)
  39. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction, Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Volume 3430, pp.126-136 (2005)
  40. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima and Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI, Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Volume 3430, pp.152-162 (2005)
  41. Jiyoong Kim, Takashi Washio, Masakazu Yamagishi, Yoshio Yasumura, Satoshi Nakatani, Kazuhiko Hashimura, Akihisa Hanatani, Kazuo Komamura, Kunio Miyatake, Soichiro Kitamura, Hitonobu Tomoike and Masafumi Kitakaze: A novel data mining approach to the identification of effective drugs or combinations for targeted endpoints application to chronic heart failure as a new form of evidence-based medicine, Cardiovascular Drugs and Therapy, Vol. 18, No.6, pp.483-489 (2004)
  42. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models, Journal of Experimental & Theoretical Artificial Intelligence, Vol.17, No. 1-2, January-June 2005, pp.129-143, Talor & Francis (2005)
  43. H. Liu, H. Motoda and L. Yu, "A selective sampling approach to active feature selection'', Artificial Intelligence, Vol 159/1-2, pp.49-74 (2004)
  44. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Hakashima, Hiromitsu Fujikawa and Katsuyuki Yamazaki: Density-Based Spam Detector, IEICE Trans. Inf. & Syst., Vol.E87-D, No.12, pp.2678-2688 (2004)
  45. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda and Takashi Washio: Adaptive Ripple Down Rules method based on minimum description length principle, Intelligent Data Analysis, Vol. 8 pp.239-265, IOS Press. (2004)
  46. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: Complete Mining of Freqent Patterns from Graphs: Mining Graph Data, Machine Learning, Vol.50, pp.321-354, (2003)
  47. H. Liu and H. Motoda, "On Issues of Instance Selection,'' Data Mining and Knowledge Discovery, Vol. 6, No. 2, pp.115-130 (2002)
  48. Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai and Tetsuo Sawaragi: Attribute Generation Based on Association Rules, Knowledge and Information Systems, 4: 329-349, Springer-Verlag, London Ltd. (2002)
  49. Akihiro Inokuchi, Takashi Washio, Takashi Okada and Hiroshi Motoda: Applying the Apriori-based Graph Mining Method to Mutagenesis Data Analysis: Journal of Computer Aided Chemistry, Vol.2, pp.87-92 (2001)
  50. H. Motoda and S. Arikawa?F"Special Feature on Discovery Science,'' New Generation Computing," Vol.18, No.1, pp.13-16 (2000)
  51. Y. Niwa, M. Terabe and T. Washio: Autonomous Recovery Execution in Nuclear Power Plant by the Agent, Cognition, Technology & Work, 1: pp.197-210, Springer-Verlag London Limited (1999)
  52. H. Motoda and K. Yoshida: Machine Learning Techniques to Make Computers Easier to Use, Journal of Artificial Intelligence, Vol.103, No.1-2, pp.295-321 (1998)
  53. T. Washio and H. Motoda: Discovery of First-Principle Equations Based on Scale-Type-Based and Data-Driven Reasoning, Special Issue, KDD: Techniques & Applications, Knowledge-Based Systems, Vol.10, No.7, pp.403-411, Elsevier (1998)
  54. H. Liu and H. Motoda: Feature Transformation and Subset Selection, IEEE Intelligent Systems, Vol.13, No.2, pp.26-28 (1998)
  55. B. H. Kang, K. Yoshida, H. Motoda and P. Compton: Help Desk System with Intelligent Interface, Applied Artificial Intelligence: An International Journal, Vol.11, pp.611-631 (1997)
  56. T. Washio, M. Sakuma and M. Kitamura: A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors, Artificial Intelligence, Vol.91, No.1, pp.103-130, Special Issue: Artificial Intelligence Research in Japan, Elsevier (1997)
  57. K. Yoshida and H. Motoda: Automated User Modeling for Intelligent Interface, International Journal of Human Computer Interaction (Invited), Vol.8, No.3, pp.237-258 (1996)

Before 1996

  1. K. Yoshida and H. Motoda: Automated User Modeing for Intelligent Interface, International Journal of Human Computer Interaction (Invited), Vol.8, No.3, pp.237-258 (1996)
  2. K. Yoshida and H. Motoda: CLIP: Concept Learning from Inference Pattern, Journal of Artificial Intelligence, Vol.75, No.1, pp.63-92 (1995)
  3. M. Suwa and H. Motoda: On Dealing with the Dynamic Utility of Learned Knowledge, Machine Intelligence, Vol.14, Oxford Univ. Press (1995)
  4. M. Suwa and H. Motoda: PCLEARN: A Computer Model for Learning Perceptual Chunks, AI communication, Vol.7, No.2, pp.114-125 (1994)
  5. T. Washio and M. Kitamura: Adaptive Microphone Array Technique for Remote Monitoring of Components in Nuclear Power Plants, J. Nucl. Sci. Technol., Vol.31, No.2, pp.91-101 (1994)
  6. K. Yoshida, H. Motoda and N. Indurkhya: Graph-based Induction as a Unified Learning Framework , Invited, J. of Applied Intelligence, Vol.4,pp.297-328 (1994)
  7. M. Suwa and H. Motoda: Learning Perceputually-chunked Macro-operators, Machine Intelligence, Vol.13, pp.419-440, Oxford Univ.Press (1994)
  8. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximations, International Journal of Expert Systems, Vol.5,No.2, pp.105-119 (1993)
  9. A. Kawaguchi, H. Motoda and R. Mizoguchi: Interview-Based Knowledge Acquisition using Dynamic Analysis, Invited, IEEE Expert, Vol.6, No. 5,pp.47-60 (1991)
  10. M. Suwa and H. Motoda: Acquisition of Associative Knowledge by the Frustration-Based Learning Method in an Auxiliary-Line Problem, KnowledgeAcquisition, Vol.1, No.1, pp.113-137 (1989)
  11. M. Kitamura, M. Takahashi, T. Washio and K. Sugiyama: Synthesis of Heuristic Knowledge Base for Supporting Development of Goal-Oriented Reactor Noise Analysis Programs, Progress in Nuclear Energy., Vol.21, pp.213-221 (1988)
  12. T. Washio, M. Kitamura and K. Sugiyama: Development of Failure Diagnosis Method Based on Transient Information of Nuclear Power Plant, J. Nucl. Sci. Technol., Vol.24, No.6, pp.452-461 (1987)
  13. T. Washio, M. Kitamura and K. Sugiyama: Qualitative Simulation of Power Plant Dynamics Based on Design knowledge, Control-Theory and Advanced Technology., Vol.2, No.3, pp.433-449 (1986)
  14. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Automated Derivation of Failure Symptoms for Diagnosis of a Nuclear Power Plant, Ann. Nucl. Energy., Vol.13, No.8, pp.459-465 (1986)
  15. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Small-Sample Modeling Method for Nonstationary Reactor NoiseAnalysis, Ann. Nucl. Energy., Vol.12, No.8, pp.399-407 (1985)
  16. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Development of Methods for Analyzing Time-Varying Characteristics of Power Reactor Noise, Progress in Nuclear Energy., Vol.15, pp.57-65 (1985)
  17. N. Yamada and H. Motoda: A Plant Diagnosis Method Based on the Knowledge of System Description, J. Inf. Proc. Vol.7, No.3, pp.143-148(1984)
  18. Y. Nishizawa, H. Motoda, N. Yamada and Y. Wada: Approach to Knowledge Based Man-Machine Communication for BWR Start-Up Guidance, J. Nucl. Sci.Technol., Vol.20, No.10, pp.877-879 (1983)
  19. H. Motoda, T. Hayase, Y. Bessho and K. Kato: Multi-Region Neutronics Model Based on Coarse Mesh Nodal Coupling Method for Slow Transient Analyses of Boiling Water Reactors, Nucl. Sci. Eng., Vol.80, pp.648-666(1982)
  20. K. Umegaki, T. Kiguchi and H. Motoda: Simple Method to Predict Power Level and Core Flow Rate of Boiling Water Reactors by Using a One-PointCore Model, J. Nucl. Sci. Technol. Vol.19, No.7, pp.513-520 (1982)
  21. Y. Bessho, H. Motoda and M. Watanabe: Principles for Control Rod Withdrawal Strategy during the Startup of Boiling Water Reactors, Nucl.Technol., Vol.58, pp.113-119 (1982)
  22. S. Uchikawa and H. Motoda: A Method for Calculating Power Distributions in Boiling Water Reactors Using In-Core Detector Readings, Nucl. Sci. Eng., Vol.77, pp.137-145 (1981)
  23. Y. Bessho, H. Motoda, T. Kiguchi, T. Hayase, K. Hoshi and T. Enomoto: A New Method of Startup Planning for Boiling Water Reactors , J. Nucl. Sci. Technol. Vol.18, No.9, pp.697-704 (1981)
  24. T. Hayase and H. Motoda: Boiling Water Reactor Control Rod Programming Using Heuristic and Mathematical Methods, Nucl. Technol.,Vol.48, pp.91-100 (1980)
  25. H. Motoda, S. Tanisaka, T. Kiguchi and H. Yonenaga: Feasibility Study of Core Management System by Data Communication for Boiling Water Reactors, Nucl. Technol., Vol.36, pp.294-304 (1977)
  26. H. Motoda and O. Yokomizo: Method to Minimize Power Peaking in Refueling Schedule of Boiling Water Reactor, J. Nucl. Sci. Technol., Vol.14, No.2, pp.108-116 (1977)
  27. Y. Niki, N. Hiranuma, M. Ozawa, H. Motoda and A. Kawahara: Operating Experience of Shimane Nuclear Power Station and Core Management Engineering System, Hitachi Review, Vol.25, pp.97-102 (1976)
  28. Y. Nishizawa, T. Kiguchi and H. Motoda: On-Line Prediction of the Power Distribution within Boiling Water Reactors, Nucl. Sci.Eng.,Vol.60, pp.189-192 (1976)
  29. O. Yokomizo, H. Motoda, T. Kiguchi and R. Takeda: A Man-Machine Communication System for Boiling Water Reactor Core Management Planning, Nucl. Technol., Vol.29, pp.191-199 (1976)
  30. T. Kawai, H. Motoda, T. Kiguchi and M. Ozawa: A Method for Generating a Control Rod Programming for Boiling Water Reactors, Nucl. Technol.,Vol.28, pp.108-118 (1976)
  31. H. Motoda and O. Yokomizo: Optimization of Fuel Assembly Allocation for Boiling Water Reactors, J. Nucl. Sci. Technol., Vol.13, No.5,pp.230-246 (1976)
  32. H. Motoda, J. Herczeg and A. Sesonske: Optimization of Refueling Schedule for Light Water Reactors, Nucl. Technol., Vol.25, pp.477-496(1975)
  33. T. Kiguchi, H. Motoda and T. Kawai: Stochastic Fluctuation in a Uranium-Enriching Cascade Using the Centrifuge Process, Nucl. Technol., Vol.17, pp.168-183 (1973)
  34. T. Kawai, K. Inoue, H. Motoda, T. Kobayashi and T. Kiguchi: Sensitivity Analysis of Ideal Centrifuge Cascade for Producing Slightly Enriched Uranium, Nucl. Sci. Eng., Vol.50, pp.63-72 (1973)
  35. Y. Nishizawa and H. Motoda: On-Line Calculation Method for Evaluating the Power Distribution in a Nuclear Reactor Core, J. Nucl. Sci. Technol.,Vol.10, No.2, pp.125-127 (1973)
  36. H. Motoda: Investigation of the Fuel Loading Pattern on the CoreBurnup by FLARE Simulation, J. Nucl. Sci. Technol., Vol.9, No.12,pp.751-753 (1972)
  37. M. Kitamura and H. Motoda: Burnup Optimization Using Modal ExpansionMethod, J. Nucl. Sci. Technol., Vol.9, pp.512-520 (1972)
  38. Y. Nishizawa and H. Motoda: Method for Evaluating the Local Variationof the Neutron Flux, J. Nucl. Sci. Technol., Vol.9, No.7, pp.412-419(1972)
  39. H. Motoda: Optimization of Control Rod Programming and LoadingPattern in Multiregion Nuclear Reactor by the Method of ApproximationProgramming, Nucl. Sci. Eng., Vol.49, pp.515-524 (1972)
  40. H. Motoda: Optimal Control Rod Programming of Light Water Reactors inEquilibrium Fuel Cycle, Nucl. Sci. Eng., Vol.46, pp.88-111 (1971)
  41. H. Motoda: Burnup Optimization of Continuous Scattered Refueling, Nucl. Sci. Eng., Vol.41, pp.1-13 (1970)
  42. H. Motoda and T. Kawai: A Theory of Control Rod Programming Optimization in Two-Region Reactors, Nucl. Sci. Eng., Vol.39, pp.114-118(1970)

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International Conference Papers

Since 1996

  1. M. Demeshko, T. Washio and Y. Kawahara: Estimation of Causal Structures in Longtudinal Data Using Non-Gaussianity, Proc. of 2013 IEEE International Workshop on Machine Learning for Signal Processing, 2013 IEEE International Workshop on Machine Learning for Signal Processing, Vol. 13, pp.1-6 (2013)
  2. C. K. Kengne, L. C. Fopa, A. Termier, N. Ibrahim, M. C. Rousset, T. Washio and M. Santana: A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System, Proc. of The IEEE International Conference on Data Mining series (ICDM) Workshop 2013, The IEEE International Conference on Data Mining series (ICDM) Workshop 2013, pp.104-113 ( 2013)
  3. T. Washio: Efficiently Rewriting Large Multimedia Application Execution Traces with few Event Sequences, Proc. of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIG-KDD2013), pp.1348-1356 (2013)
  4. H. Suematsu, Z. Yunzhu, T. Itoh, R. Fujimaki, S. Morinaga and Y. Kawahara: Low-dimensional parallel coordinates collection for high-dimensional data visualization, Proc. of the 17th International Conference on Information Visualization, 17th International Conference on Information Visualization, pp.59-65 (2013)
  5. K. Nagano and Y. Kawahara: Structured convex optimization under submodular constraints, Proc. of the 29th Annual Conference on Uncertainty in Artificial Intelligence, 29th Annual Conference on Uncertainty in Artificial Intelligence, pp.459-468 (2013)
  6. M. Demeshko, T. Washio and Y. Pepyolyshev: Structural Analysis of IBR-2 Based on Continuous Time Canonicality, Transactions of the AMERICAN NUCLEAR SOCIETY and embedded topical meetings: Risk Management for Complex Socio-Technical Systems, 2nd ANS SMR 2013 Conference (2013)
  7. N. Tanaka, S. Shimizu and T. Washio: Estimation of causal direction in the presence of latent confounders using a Bayesian LiNGAM mixture model, Workshop on Causality: Perspectives from different disciplines (invited) (2013)
  8. T. Washio: Issues for Modeling from Big Data, Workshop on Computation, Theory and Practice (invited) (2013)
  9. T. Washio and Y. Iba: Rare Flood Scenario Analysis Using Observed Rain Fall Data, Proc. JSST 2013; International Conference on Simulation Technology (2013)
  10. A. Kanemura, J. Yuan and Y. Kawahara: Finding Structured Dictionary Representation by Network-Flow Optimization, Workshop on Data Discretization and Segmentation for Knowledge Discovery (2013)
  11. Y. Kawahara: Parametric submodular optimization in machine learning, Trends in Machine Learning (invited) (2014)
  12. T. Tashiro, S. Shimizu, Aapo Hyvarinen and T. Washio: Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders, Proc. 22nd International. Conference on Articial Neural Networks (ICANN2012), 22nd International Conference on Articial Neural Networks (ICANN2012), Vol. 1, pp. 491-498 (2012)
  13. K. Thamvitayakul, S. Shimizu, T. Ueno, T. Washio, T. Tashiro: Bootstrap confidence intervals in DirectLiNGAM, Proc. RIKD: Workshop on Reliability Issues in Knowledge Discovery, ICDM 2012, The IEEE International: Conference on Data Mining, pp. 660-668(2012)
  14. A. Inokuchi, A. Yamaoka, T. Washio, Y. Matsumoto, M. Asahara, M. Iwatate and H. Kazawa: Mining Rules for Rewriting States in a Transition-Based Dependency Parser, Proc. of 12th Pacific Rim International Conference on Artificial Intelligence, 12th Pacific Rim International Conference on Artificial Intelligence, pp. 133-145 (2012)
  15. A. Inokuchi and A. Yamaoka: Mining Rules for Rewriting States in a Transition-based Dependency Parser for English, Proc. of 24th International Conference on Computational Linguistics, 24th International Conference on Computational Linguistics, pp. 1275-1290 (2012)
  16. Y. Sogawa, T. Ueno, Y. Kawahara and T. Washio: Robust active learning for linear regression via density power divergence, Neural Information Processing (Lecture Notes in Computer Science), ICONIP2012: 19th International Conference on Neural Information Processing, Vol. 7665, pp. 594-602(2012)
  17. T. Ueno, K. Hayashi, T. Washio and Y. Kawahara: Weighted likelihood policy search with model selection, Advances in Neural Information Processing Systems, NIPS2012: 26th Annual Conference on Neural Information Processing Systems, Vol. 25, pp.2366-2344 (2012)
  18. C. K. Kengne, L. C. Fopa, N. Ibrahim, A. Termier, M.C. Rousset and T. Washio: Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner, Proc. PTDM: Workshop on Practical Theories of Data Mining, ICDM 2012, The IEEE International Conference on Data Mining, pp. 595-602 (2012)
  19. S. Hara and T. Washio: Anomalous Neighborhood Selection, Proc. OEDM: Workshop on Optimization Based Techniques for Emerging Data Mining, ICDM 2012. The IEEE International Conference on Data Mining, pp. 474-480 (2012)
  20. S. Hara and T. Washio: Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method, Neural Information Processing, Lecture Notes in Computer Science, ICONIP2012: 19th International Conference on Neural Information Processing, Vol. 7665, pp. 108-115 (2012)
  21. M. Demeshko and T. Washio: A Novel Structural ARMA Modeling Approach to Reactor Noise Analysis, REACTOR NOISE Knowledge Transfer Meeting 2012 (RNKTM2012), ISSN 1805-6156, Paper ID No.5 (2012)
  22. T. Inazumi, T. Washio, S. Shimizu, J. Suzuki, A. Yamamoto and Y. Kawahara: Discovering Causal Structures in Binary Exclusive-or Skew Acyclic Models, Proc. of UAI2011, The 27th Conference on Uncertainty in Artificial Intelligence, pp. 373-382 (2011)
  23. S. Hara and T. Washio: Common Substructure Learning of Multiple Graphical Gaussian Models, Proc. of ECML-PKDD2011, European Conference on Machine Learning and Principle and Practice of Knowledge Discovery in Databases 2011, Lecture Notes in Computer Science, Springer, LNCS, Vol. 6912, No. 2, pp. 1-16 (2011)
  24. Y. Kawahara and T. Washio: Prismatic Algorithm for Discrete D.C. Programming Problem, Proc. of NIPS2011, Twenty-Fifth Annual Conference on Neural Information Processing Systems, pp. 2106-2114 (2011)
  25. K. M. Ting, T. Washio, J. Wells and T. Liu: Density Estimation based on Mass, Proc. of ICDM2011, The IEEE International Conference on Data Mining 2011, pp. 715-724 (2011)
  26. K. Nagano, Y. Kawahara and K. Aihara: Size-constrained submodular minimization through minimum norm base, Proc. of the 28th International Conference on Machine Learning (ICML2011), pp. 977-984 (2011)
  27. K. Yada, T. Washio and H. Koga: A Framework for Shopping Path Research, Workshop on Data Mining Marketing, SIAM: SIAM Conference on Data Mining (2011)
  28. K. Ichikawa, E.. Ip, K. Yada and T. Washio: Application of DNA Sequence Alignment Algorithm to Classification of Shopping Paths through a Supermarket, Workshop on Data Mining Marketing, SIAM: SIAM Conference on Data Mining (2011)
  29. T. Washio: A New Approach to Bayesian Estimation over the Curse of Dimensionality (invited), AI-2011 Thirty-first SGAI International Conference on Artificial Intelligence, Workshop on Machine Learning and Intelligent Autonomous Systems (2011)
  30. S. Miyazaki, T. Washio and K. Yada: Analysis of Residence Time in Shopping using RFID Data-An Application of the Kernel density estimation to RFID, Working note of DMS2011: Workshop on Data Mining For Service: The IEEE International Conference on Data Mining series (ICDM2011) (2011)
  31. A. Inokuchi and T. Washio: Mining Frequent Graph Sequence Patterns Induced by Vertices, SIAM Data Mining Conference 2010 (SDM2010), SIAM Data Mining Conference 2010 (SDM2010), pp.466-477 (2010)
  32. A. Inokuchi and T. Washio: GTRACE2: Improving Performance Using Labeled Union Graphs, The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2010), Vol. 2, LNAI6119, pp. 178-188 (2010)
  33. M. Joko, Y. Kawahara and T. Yairi: Learning nonlinear dynamical systems by alignment of local linear models, Proc. of the 20th International Conference on Pattern Recognition, 20th International Conference on Pattern Recognition, pp.768-775 (2010)
  34. K. Nagano, Y. Kawahara and S. Iwata: Minimum average cost clustering, Advances in Neural Information Processing Systems, 24th Annual Conference on Neural Information Processing Systems, Vol. 23, pp. 1759-1767 (2010)
  35. S. Hara, Y. Kawahara, T. Washio and P. Bunau: Stationary subspace analysis as a generalized eigenvalue problem, Lecture Note in Computer Science: 17th International Conference on Neural Information Processing, Vol. 6443, pp.422-429 (2010)
  36. K. Takai, T. Washio, K. Yada and R. Kohli: Estimation of Exposure Time and Purchase Probability for Supermarket Categories from RFID data, 34th Annual Conference of the German Classification Society (GfKl) (2010)
  37. K. Ichikawa, K. Yada and T. Washio: A Classification Method Using DNA Sequence Alignment Algorithms for Path Data in Supermarket, 34th Annual Conference of the German Classification Society (GfKl) (2010)
  38. T. Inazumi, S. Shimizu and T. Washio: Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models, 9th International Conference on Latent Variable Analysis and Signal Separation (2010)
  39. Y. Komatsu, S. Shimizu and H. Shimodaira: Assessing statistical reliability of LiNGAM via multiscale bootstrap, 20th International Conference on Artificial Neural Networks (ICANN2010) (2010)
  40. Y. Sogawa, S. Shimizu, A. Hyvarinen, T. Washio, T. Shimamura and S. Imoto: Discovery of exogenous variables in data with more variables than observations, 20th International Conference on Artificial Neural Networks (ICANN2010) (2010)
  41. Y. Sogawa, S. Shimizu, Y. Kawahara and T. Washio: An experimental comparison of linear non-Gaussian causal discovery methods and their variants, 2010 IEEE World Congress on Computational Intelligence (WCCI2010) (2010)
  42. S. Shimizu and Y. Kawahara: Non-Gaussian methods for learning linear structural equation models, 26th Conference on Uncertainty in Artificial Intelligence (UAI2010) (invited) (2010)
  43. T. Yairi, A. Yoshiki, M. Inui and Y. Kawahara: Spacecraft telemetry data monitoring by dimensionality reduction techniques, SICE Annual Conference 2010 (2010)
  44. V. Nguyen, A. Inokuchi, T. Washio: Graph Classification Based on Optimizing Graph Spectra, The 13th International Conference on Discovery Science (2010)
  45. Akihiro Inokuchi and Takashi Washio: Mining Frequent Graph Sequence Patterns Induced by Vertices, Proc. of SIAM Data Mining Conference (SDM) 2010, CP11 Graph Mining (2010)
  46. Y. Kawahara, K. Nagano, K. Tsuda and J. Bilmes: Submodularity cuts and applicastions, Proc. of NIPS2090: Advances in Neural Information Processing, Vol.22 (2009)
  47. Y. Kawahara and M. Sugiyama: Change-point detection in time-series data by direct density-ratio estimation, Proc. of SDM2009: the 2009 SIAM Int. Conf. on Data Mining, pp.389-400 (2009)
  48. Y. Kawahara, T. Yairi, K. Machida: Spacecraft Fault Diagnosis Based on SwitchingEstimation of Parameters Using Sequential Monte Carlo Methods, Proc. of the 9th Int Symp. on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS08) (2009)
  49. Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, and Takashi Washio: Optimization of Budget Allocation for TV Advertising, Proc. of KES2009: 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, J.D. Velasquez et al. (Eds.), Part II, LNAI 5712, pp.270-277 (2009)
  50. Katsuyoshi Yada, Takashi Washio and Yasuharu Ukai: Modeling Deposit Outflow in Financial Crises: Application to Branch Management and Customer Relationship Management, Proc. of 2009 Far East and South Asia Meeting of the Econometric Society, pp.63 (2009)
  51. Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara, and TakashiWashio: The International Workshop on Data Mining and Statistical Science (DMSS2009), pp.78-86 (2009)
  52. Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio: A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model, Proc. of UAI2009: The 25th Conference on Uncertainty in Artificial Intelligence, Causality II & Graphical Models (2009)
  53. S. Shimizu and A. Hyvarinen: Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes, Proc. of ICONIP2007: 14th International Conference on Neural Info. Processing, pp.752-761 (2008)
  54. A. Hyvarinen, S. Shimizu and P. O. Hoyer: Causal Modelling Combining Instantaneous and Lagged Effects: an Identifiable Model Based on non-Gaussianity, Proc. of ICML2008: International Conference on Machine Learning, pp.424-431 (2008)
  55. H. Kashima, K. Yamasaki, A. Inokuchi, H. Saigo: Regression with interval output values, Proc. of ICRP2008: 19th International Conference on Pattern Recognition 2008, pp1-4 (2008)
  56. Akihiro Inokuchi and Takashi Washio: A Fast Method to Mine Frequent Subsequences from Graph Sequence Data, Proc. of ICDM2008: 2008 Eighth IEEE International Conference on Data Mining, pp.303-312 (2008)
  57. Kouzou Ohara and Takashi Washio: Isomorphism Identification by Using Graph Spectra and Its Application to Graph Mining, Proc. of IASC2008: the Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis, pp.229 (Invited) (2008)
  58. Takashi Washio, Katsutoshi Yada, Yasuharu Ukai and Hisao Nagaoka: Modeling Bank Runs by Data Mining to Manage Financial Crises, Proceedings of International Conference of Socionetwork Strategies and Policy Grid Computing, Social Agent Modeling and Computation for Policy Making 2008, pp.11-13 (Invited, Keynote Speech)(2008)
  59. Kouzou Ohara, Takashi Washio and Duy Vinh Nguyen: On Feasibility of Graph Spectrum-based Frequent Sub-graph Mining, Proc. of th International Workshop on Data Mining and Statistical Science (DMSS2008), pp.9-11 (2008)
  60. Akihiro Inokuchi and Takashi Washio: Feasibility of Graph Sequence Mining based on Admissibility Constraints, Proc. Of th International Workshop on Data Mining and Statistical Science (DMSS2008), pp.1-4 (2008)
  61. Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, and Hisao Nagaoka: A Bank Run Model in Financial Crises, Proc. of KES 2008(12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems), Part II, LNAI 5178, pp. 703-710 (2008)
  62. Kentarou Kido, Hiroshi Kuwajima and Takashi Washio: A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation, Proc. of the Eighth SIAM International Conference on Data Mining (SDM08), Edited by Mohammed J. Zaki, Ke Wang, Chid Apte, and Haesun Park, pp.387-398 (2008)
  63. A. Inokuchi and K. Takeda: A method for online analytical processing of text data. Proc. of CIKM2007: 16th ACM Conference on Information and Knowledge Management 2007, pp. 455-464 (2007)
  64. Y. Kawahara, T. Yairi and K. Machida: Change-Point Detection in Time-Series Data based on Subspace Identification, Proc. of ICDM2007: 7th IEEE Int. Conf. on Data Mining, pp.559-564 (2007)
  65. Hiroshi Kuwajima and Takashi Washio: Large PSD Matrix Estimation from Partial Elements, Workingnotes of Seventh IEEE International Conference on Data Mining - Workshop on High Performance Computing: 0-7695-3019-2/07 2007 IEEE DOI 10.1109/ICDMW.2007.24, pp.337-342 (2007)
  66. Hiroshi Kuwajima and Takashi Wasiho: Fast PSD Matrix Estimation by Column Reductions, ISM Report on Research and Education No.25, The International Workshop on Data-Mining and Statistical Science (DMSS2007), pp.179-189 (2007)
  67. Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto and Takashi Washio, Tomoyuki Higuchi: DIGDAG, a first algorithm to mine closed frequent embedded sub-DAGs, Proc. of MLG Workshop 2007, Mining and Learning with Graphs, pp.41-46 (2007)
  68. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction, New Frontiers in Artificial Intelligence, JSAI 2003 and JSAI 2004 Conferences and Workshops, Springer, LNAI3609, pp.5-28 (2007)
  69. Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda and Takashi Okada: Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques, New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 2006, Revised Selected Papers, LNAI 4384, Springer, pp.305-316 (2007)
  70. S. Shimizu, A. Hyvarinen, Y. Kano, P. O. Hoyer and A. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA, Proceedings of International Conference on Independent Component Analysis and Blind Signal Separation, pp.901-908 (2006)
  71. Y. Kawahara, T. Yairi and K. Machida: A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems, Proc. of NIPS2006: The 20th Annual Conf. on Neural Information Processing (2006)
  72. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Extracting Discriminative Patterns from Graph Structured Data using Constrained Search, Proc. of the 2006 Pacific Rim Knowledge Acquisition Workshop (PKAW 2006), Workshop held in conjunction with the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2006), pp.62-72 (2006)
  73. Kenta Fukata, Takashi Washio, Hiroshi Motoda: A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis, Proc. of Sixth IEEE International Conference on Data Mining, Workshop on Risk Mining 2006, #27020114 (2006).
  74. Viet Phuong Nguyen and Takashi Washio: Modeling Dynamic Substate Chains among Massive States for Prediction, Proc. of Sixth IEEE International Conference on Data Mining, Workshop on Risk Mining 2006, #27020094 (2006)
  75. Viet Phuong Nguyen and Takashi Washio: Modeling Dynamics of Massive Dimensional and Complex Systems, Proc. of DMSS2006: The International Workshop on Data-Mining and Statistical Science, pp.125-132 (2006)
  76. Nguyen Viet Phuong and Takashi Washio: High-Order Substate Chain Prediction Based on Massive Sensor Outputs, Proc. of the 4th International Workshop on Knowledge Discovery from Data Streams, 17th Eupropean Conference on Machine Learning (ECML) and 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp.13-22 (2006)
  77. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Mining Discreminative Patterns from Graph Structured Data with Constrained Search, Proc. of the Workshop on Mining and Learning with Graphs, 17ty Eupropean Conference on Machine Learning (ECML) and 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp.205-212 (2006)
  78. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda and Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules, 2nd JSAI International Workshop, Post Proc. of First International Workshop on Risk Management Systems with Intelligent Data Analysis (RMDA-2005), LNAI 4012, Washio, T.; Sakurai, A.; Nakajima, K.; Takeda, H.; Tojo, S.; Yokoo, M. (Eds.), pp.436-445 (2006)
  79. Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motodaand and Takashi Okada: Analysis on a Relation between Enterprise Profit and Financial Sate by Using Data Mining Techniques, Working Notes of RM2006: Workshop on Risk Mining, Data Mining for Detection, Analysis and Utilization of Risk Information, Collocated with The 20th National Meeting of JSAI2006, pp.35-46 (2006)
  80. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, and Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules, Proc. of JSAI 2005 Workshops, LNAI 4012, pp. 436-45, Springer-Verlag (2006)
  81. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda and Takashi Washio: Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction, Proc. of 10th Pacific-Asia Conference, PAKDD2006, Advances in Knowledge Discovery and Data Mining, LNAI 3918, pp.390-399 (2006)
  82. S. Shimizu, A. Hyvarinen, Y. Kano and P. O. Hoyer: Discovery of Non-Gaussian Linear Causal Models Using ICA, Proceedings of UAI2005: 21st Conference on Uncertainty in Artificial Intelligence, pp.526-533 (2005)
  83. Y. Kawahara, T. Yairi and K. Machida: Fault Diagnosis for Spacecraft Using Probabilistic Reasoning and Statistical Learning with Dynamic Bayesian Networks, Proc. of the 56th Int. Astronautical Congress (IAC' 05) (2005)
  84. Y. Kawahara, T. Yairi and K. Machida: Diagnosis Method for Spacecraft Using Dynamic Bayesian Networks, Proc. of the 8th Int. Symp. on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS?f05) (2005)
  85. Takashi Washio, Yuki Mitsunaga and Hiroshi Motoda: Mining Quantitative Frequent Itemsets Using Adaptive Density-based Subspace Clustering, Proc. of ICDM''05: The Fifth IEEE International Conference on Data Mining, pp.793-796 (2005)
  86. Alexandre Termier, Marie-Christine Rousset, Mich ele Seba, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: Efficent Mining of High Branching Factor Attribute Trees, Proc. of ICDM''05: The Fifth IEEE International Conference on Data Mining, pp. 785-788 (2005)
  87. Takashi Washio, Fuminori Adachi, Hiroshi Motoda: SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos, Proc. of Discovery Science, 8th International Conference, DS2005, pp.253-266 (2005)
  88. Alexandre Termier, Marie-Christine Rousset, Mich ele Seba, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: Computation-time efficient and robust attribute tree mining with DRYADEPARENT, Proc. of the Third International Workshop on Mining Graphs, Trees and Sequences: MGTS2005, pp.63-76 (2005)
  89. Takashi Washio, Koutarou Nakanishi and Hiroshi Motoda: Deriving Class Association Rules Based on Levelwise Subspace Clustering, Knowledge Discovery in Databases, Proc. of PKDD2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, LNAI Vol.3721, pp.692-700 (2005)
  90. Takashi Washio, Fuminori Adachi and Hiroshi Motoda: Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics, Proc. of Nineteenth International Joint Conference on Artificial Intelligence, pp.1642-1644 (2005)
  91. Katsutoshi Yada, Hiroshi Motoda and Takashi Washio: A Data Mining for Graph Structure Data Helps to Discover New Knowledge in Consumer Behavior and Makes Profits, Proc. CD of AMS International Retailing Conference Reims, France, pp.1-17 (2005)
  92. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda and Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules, Proc. of First International Workshop on Risk Management Systems with Intelligent Data Analysis (RMDA-2005), pp.23-34 (2005)
  93. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction, Proc. of Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Vol.3430, pp.126-136 (2005)
  94. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima and Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI, Proc. of Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Vol.3430, pp.152-162 (2005)
  95. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data, Proceedings of 9th Pacific-Asia Conference, PAKDD 2005, ISBN: 3-540-26076-5, Lecture Notes in Computer Science, Springer-Verlag GmbH, ISSN: 0302-9743, Vol. 3518 / 2005, Advances in Knowledge Discovery and Data Mining (2005)
  96. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa and Katsuyuki Yamazaki: Memory Management of Density-Based Spam Filter, Proceedings of 2005 Symposium on Applications and the Internet: Saint 2005, pp.370-376 (2005)
  97. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda: A Framework of Numerical Basket Analysis, Proceedings of 2005 Symposium on Applications and the Internet: Saint 2005 Workshops, pp.340-343 (2005)
  98. Kawahara, Y., Yairi, T., and Machida, K.: Fault Diagnosis for Spacecraft Using Probabilistic Reasoning and Statistical Learning with Dynamic Bayesian Networks, Proc. of the 56th Int?fl Astronautical Congress (IAC?f05), Safety and Quality in Space Activities Symp., IAC-05-D5.2.04, Fukuoka (2005)
  99. Kawahara, Y., Yairi, T., and Machida, K.: Diagnosis Method for Spacecraft Using Dynamic Bayesian Networks, Proc. of the 8th Int?fl Symp. on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS?f05), Munich, Germany (2005)
  100. Fuminori Adachi, Takashi Washio and Hiroshi Motoda: Scientific Discovery of Dynamic Hidden States and Differential Law Equations, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.175-180 (2004)
  101. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda: Extention of Basket Analysis and Quantitative Association Rule Mining, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.117-122 (2004)
  102. M.Kuroda, K.Yada, H.Motoda and T.Washio: Knowledge Discovery from Consumer Behavior in an Alcohol Market by Using Graph Mining Technique, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.111-116 (2004)
  103. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Cl-GBI: A Novel Strategy to Extract Typical Patterns from Graph Data, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.105-110 (2004)
  104. Akira Mogi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Analysis of Hepatitis Dataset by Using Cl-GBI, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.43-48 (2004)
  105. Kouzou Ohara, Yukio Onishi, Noboru Babaguchi and Hiroshi Motoda: Constructive Inductive Learning based on Meta-Attributes, Proceedings of the 7th International Conference on Discovery Science, pp.142-154(2004)
  106. Katsutoshi Yada, Hiroshi Motoda, Takashi Washio and Asuka Miyawaki: Consumer Behavior Analysis by Graph Mining Technique, Lecture Notes in Computer Science, Publisher: Springer-Verlag Heidelberg, ISSN: 0302-9743, Volume 3214 / 2004, Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Proceedings, Part II (2004)
  107. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara and Hiroshi Motoda: Using a Hash-Based Method for Apriori-Based Graph Mining, Proc. of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2004), LNAI3202:Knowledge Discovery in Databases, pp. 349-361 (2004)
  108. Kouzou Ohara, Tetsuya Yoshida, Warodom Geamsakul, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Analysis of Hepatitis Dataset by Decision Tree Graph-Based Induction, Proceedings of Discovery Challenge, Workshop held in conjunction with the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp.173-184(2004)
  109. Kenichi Yosihda, Fuminori Aadachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki: Density-based spam detector, Proc. of KDD2004: KDD International Conference on Knowledge Discovery and Data Mining, page 486-493 (2004)
  110. Hiroshi Motoda, Tetsuya Yoshida, Kouzou Ohara, Warodom Geamsakul, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Application of DT-GBI to Promoter and Hepatitis Datasets, Proceedings of the Knowledge Discovery in BioMedicine, KDbM-04, pp.10-40(2004)
  111. A. Mandvika, H. Liu and H. Motoda: Constructing Compact Dual Ensembles for Efficient Active Learning, Proc. of the Pacific Knowledge Acquisition Workshop, ISBN No. 1-877314-34-X, pp.29-43 (2004)
  112. Tetsuya Yoshida, Warodom Geamsakul, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Preliminary Analysis of Interferon Therapy by Graph-Based Induction, Proceedings of the Third International Workshop on Active Mining, AM-2004, pp.31-40(2004).
  113. A. Mandvika, H. Liu and H. Motoda: Compact Dual Ensembles for Active Learning, Proc. of 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, LNAI3056, pp.293-297 (2004)
  114. Noboru Babaguchi, Kouzou Ohara, and Takehiro Ogura: Effect of Personalization on Retrieval and Summarization of Sports Video, Proceedings of Fourth International Conference on Information, Communications & Signal Processing/Fourth IEEE Pacific-Rim Conference On Multimedia, ICICS-PCM03, pp.15-18(2003)
  115. Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, and Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance, Proc. of 14th International Symposium, ISMIS 2003, Foundations of Intelligent Systems, LNAI 2871, pp.486-496 (2003)
  116. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction, Working notes of AM2003: Second International Workshop on Active Mining, pp.106-117 (2003)
  117. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima and Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI, Working notes of AM2003: Second International Workshop on Active Mining, pp.52-61 (2003)
  118. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Performance Evaluation of Decision Tree Graph-Based Induction, The 6th International Conference on Discovery Science (DS2003), pp.128-140(2003)
  119. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: Specific Biasis for Mining Frequent Substructures, Proc. of First International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), In conjunction with ECML/PKDD-2003, pp.45-54 (2003)
  120. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Constructing a Decision Tree for Graph Structured Data, Proc. of First International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), In conjunction with ECML/PKDD-2003, pp.1-10 (2003)
  121. Kouzou Ohara, Takehiro Ogura, and Noboru Babaguchi: On Personalizing Video Portal System with Metadata, Proc. of 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2003), pp.1062-1069(2003)
  122. H. Liu, L. Yu, D. Manoranjan and H. Motoda: Active Feature Selection Using Classes, Proceedings of 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, LNAI2637, pp.474-485 (2003)
  123. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida and Takashi Washio: Mining Patterns from Structured Data by Beam-wise Graph-Based Induction, Proc. of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.98-99 (2003)
  124. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: General Framework for Frequent Structure Mining, Proc. Of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.85-86 (2003)
  125. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motota, and Takashi Washio: Classifier Construction by Graph-Based Induction for Graph Structured Data, Proc. of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.63-64 (2003)
  126. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda and Takashi Washio, Adaptive Ripple Down Rules Method based on Minimum Description Length Principle, Proc. of ICDM02: The 2002 IEEEE International Conference on Data Mining, pp.530-537 (2002)
  127. Fuminori Adachi, Takashi Washio, Hiroshi Motoda and Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance, Proc. of Int. Workshop on Active Mining, pp.52-57 (2002)Fuminori Adachi, Takashi Washio, Hiroshi Motoda and Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance, Proc. of Int. Workshop on Active Mining, pp.52-57 (2002)
  128. Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Active Mining from Hepatitis Data by Beam-wise GBI, Proc. of Int. Workshop on Active Mining, pp.37-44 (2002)
  129. Akihiro Inikuchi, Takashi Washio, Yoshio Nishimura and Hiroshi Motoda: General Freamework for Mining Frequent Patterns in Structure, Proc. of Int. Workshop on Active Mining, pp.23-30 (2002)
  130. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida and Takashi Washio: Preliminary Analysis of Hepatitis Data by Beam-wise Graph-Based Induction, Working Notes of Discovery Challenge Workshop Notes, Helsinki, Finland, ECML/PKDD-2002 Workshop Proceedings, Petr Berka, Eds. (2002)
  131. Takashi Washio and Hiroshi Motoda: Toward the Discovery of First Principle Based Scientific Law Equations, Progress in Discovery Science, Final Report of Japanese Discovery Science Project, State-of the Art Survey, LNAI2281, Setsuo Arikawa and Ayumi Shinohara (Eds.), Springer, pp.553-564 (2002)
  132. Hiroshi H. Hasegwa, Takashi Washio and Yukari Ishimiya: Inductive Thermodynamics from Time Series Data Analysis, Progress in Discovery Science, Final Report of Japanese Discovery Science Project, State-of the Art Survey, LNAI2281, Setsuo Arikawa and Ayumi Shinohara (Eds.), Springer, pp.384-394 (2002)
  133. Takashi Washio: Conditions of Law Equations and the Approach of their Discovery, Proc. Of International Conference on Advances in Infrastructure for Electronic Business,  Education, Science and Medicine on the Internet: SSGRR 2002w, No.83 (Invited) (2002)
  134. H. Motoda and H. Liu, "Feature Selection, Extraction and Construction'', Invited, Proc. of Foundation of Data Mining, PAKDD02, pp.67-72 (2002)
  135. Takayuki Ikeda, Takashi Washio and Hiroshi Motoda: Basket Analysis on Meningitis Data, New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings, LNAI 2253, pp.516-524 (2001)
  136. Takashi Washio and Hiroshi Motoda: A Method to Discover Admissble Model Equations from Observed Data, Working Notes of 4th Internationaln Workshop on Similarity Methods, pp.231-246 (2001)
  137. Makoto Tsukada, Takashi Washio and Hiroshi Motoda: Automatic Web-Page Classification by Using Machine Learning Methods, Web Intelligence Research and Development (Proc. Of First Asia Pacific Conf., WI2001), LNAI2198, Springer, pp.303-313 (2001)
  138. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Discovering Admissible Simultaneous Equation Models from Observed Data, Proc. Of 12th European Conference on Machine Learning:ECML2001, pp.539-551 (2001)
  139. Masahiro Terabe, Takashi Waship and Hiroshi Motoda: The Effect of Subsampling Rate on S3 Bagging Performance, Working Notes on Active Learning, Databese Sampling, Experimental Design: Views on In stance Selection, ECML/PKDD-2001 (2001)
  140. Takashi Washio and Hiroshi Motoda: Discovery of Law Equations Governing Human Affinity Under Trade-Off Between Cost and Risk, Proc. of IMPS-2001: International Meeting of the Psychometric Society, pp.74 (2001)
  141. Takayuki Ikeda, Takashi Washio and Hiroshi Motoda: Basket Analysis on Meningitis Data, Working Notes of JSAI KDD Challenge 2001, JKDD01, pp.33-40 (2001)
  142. M. Dash, H. Liu and H. Motoda, "Consistency Based Feature Selection'', Proc. of the Fourth Pacific-Asia Conference of Knowledge Discovery and Data Mining (PAKDD2000), pp.98-109 (2000)
  143. Ken Ping Hew, Tetsuo Tomiyama, Takashi Washio and Yasushi Umeda: Language and Algorithm for Synthesis, Proc. of 2000 International Symposium on Modeling of Synthesis, pp.189-205 (2000)
  144. Hiroshi Hasegawa, Takashi Washio, Yukari Ishimiya and Takeshi Saito: Nonequilibrium Thermodynamics from Time Series Data Analysis, Proc. of Discovery Science 2000 (DS2000), Lecture Notes in Artificial Intelligence 1967, Setsuo Arikawa and Shinichi Morishita (Eds.), pp.304-305 (2000)
  145. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda and Takashi Washio: Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data, Proc. of Discovery Science 2000 (DS2000), Lecture Notes in Artificial Intelligence 1967, Setsuo Arikawa and Shinichi Morishita (Eds.), pp.99-111 (2000)
  146. Takashi Washio and Hiroshi Motoda: Modeling Admissible Simultaneous Equation Systems Based on Complete Subsets and Scale-Type Constraints, Working note of Similarity Methods: 3rd International Workshop, pp.73-84 (2000)
  147. Takashi Washio and Hiroshi Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems, Discovery Science, Lecture Notes in Artificial Intelligence, 1532,  pp.352-363 (2000)
  148. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda and Takashi Washio: Extension of Graph-Based Induction for General Graph Structured Data, Proc. Of PAKDD2000: 4th Pacific-Asia Conference, PAKDD2000: Knowledge Discovery and Data Mining, Current Issues and New Applications, pp.420-431 (2000)
  149. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data, Proc. of PKDD2000: Principles of Data Mining and Knowledge Discovery, 4th Europian Conference, Lecture notes in Artificial Intelligence 1910, Jan Zytkow Eds., pp.13-23 (2000)
  150. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Enhancing the Plausibility of Law Equation Discovery, Proceedings of the Seventeenth International Conference on Machine Learning, ICML2000, pp.1127-1134 (2000)
  151. A. Inokuchi, T. Washio, T. Okada and H. Motoda: Applying Algebraic Mining Method of Graph Substructures to Mutageniesis Data Analysis, Working notes of International Workshop of KDD Challenge on Real-world Data, KDD Challemge 2000, The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.41-46 (2000)
  152. T. Matsuda, T. Horiuchi, H. Motoda and T. Washio: Consistency Based Feature Selection, Proc. of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2000), (2000)
  153. H. Hasegawa, T. Washio and Y. Ishimiya: "Thermodynamics" from Time Series Data Analysis, Proc. of Second International Conference, Discovery Science1999 (DS'99), pp.326-327, (Lecture Notes in Artificial Intelligence 1721, Springer) (1999)
  154. M. Dash, H. Liu and H. Motoda: Feature Selection Using Consistency Measure, Proc. of the Second International Conference on Discovery Science (DS'99), pp.319-320 (1999)
  155. T. Matsuda, T. Horiuchi, H. Motoda, T. Washio, K. Kumazawa and N. Arai: Graph-Based Induction for General Graph Structured Data, Proc. of the Second International Conference on Discovery Science (DS'99), pp.340-342 (1999)
  156. A. Inokuchi, T. Washio and H. Motoda: Derivation of the Topology Structure from the Massive Graph Data, Proc. of the Second International Conference on Discovery Science (DS'99), pp.330-332 (1999)
  157. T. Washio and H. Motoda: Extension of Dimensional Analysis for Scale-types and its Application to Discovery of Admissible Models of Complex Processes, Working Notes of 2nd International Workshop on Similarity Method, pp.129-147 (1999)
  158. T. Washio, H. Motoda and Y. Niwa: Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains, Proc. of IJCAI'99: Sixteenth International Joint Conference on Artificial Intelligence, Vol.2, pp.772-779 (1999)
  159. T. Washio and H. Motoda: Automated Scientific Modeling from Observed Data and its Application to Socio-Psychology, Workingnotes of QR'99: the Thirteenth International Workshop on Qualitative Reasoning, pp.240-249 (1999)
  160. M. Terabe, O. Katai, T. Sawaragi, T. Washio and H. Motoda: A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.143-147 (1999)
  161. A. Inokuchi, T. Washio and H. Motoda: Basket Analysis for Graph Structured Data, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.420-431 (1999)
  162. T. Wada, T. Horiuchi, H. Motoda and T. Washio: Characterization of Default Knowledge in Ripple Down Rules Method, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.284-295 (1999)
  163. H. Motoda: Computer Assisted Discovery of First Principle Equations from Numeric Data, Invited Talk, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.2-2 (1999)
  164. K. P. Hew, T. Washio, T. Tomiyama and Y. Umeda: A Mathematical theory of Synthesis Design: Foundation, Framework, Logic and Application, Proc. of International Symposium on Modeling of Synthesis, pp.19-31 (1998)
  165. T. Washio and H. Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems, Discovery Science, Lecture Notes in Artificial Intelligence 1532 pp.352-363 (1998)
  166. T. Wada, T. Horiuchi, H. Motoda and T. Washio: A New Look at Default Knowledge in Ripple Down Rules Method, Proc. of the 1998 Pacific Rim Knowledge Acquisition Workshop (PKAW'98), pp.171-186 (1998)
  167. Y. Niwa, M. Terabe and T. Washio: Collaborative Emergency Operation Man-Machine System, Proc. of 7th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design and Evaluation of Man-Machine Systems, pp.461-466 (1998)
  168. T. Washio and H. Motoda: Discovering Admissible Simultaneous Equations of Large Scale Systems, Proc. of the Fifteenth National Conference on Artificial Intelligence (AAAI-98) pp.189-196 (1998)
  169. H. Liu, H. Motoda and M. Dash: A Monotonic Measure for Optimal Feature Selection, Machine Learning: ECML-98, Lecture Notes in Artificial Intelligence 1398, pp.101-106 (1998)
  170. S. Hori, Y. Kawashima, T. Yukimatsu, H. Taki, T. Washio and H. Motoda: A Watchdog System for Field Quality - A Basket Analysis Approach -, Proc. of US-Japan FA Symposium, Vo.2, pp.741-748 (1998)
  171. T. Washio, H. Matsuura and H. Motoda: Mining Association Rules for Estimation and Prediction, Proc. of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'98), pp.417-419 (1998)
  172. T. Washio and H. Motoda: Structured Evaluation Based on Axiomatic Measurement, Working notes of PRESTO "Information and Human Activity" Workshop, pp.14-17 (1998)
  173. T. Washio, H. Motoda, T. Kayama and H. Matsuura: Role of KDD in Autonomous Operationof Large Scale Systems, Proc. of the International Symposium on Artificial Intelligence, Robotics and Intellectual Human Activity Support for Nuclear Applications, pp.201-210 (1997)
  174. H. Motoda and K. Yoshida: Machine Learning Techiniques to Make Computers Easier to Use, Proc. of IJCAI'97: Fifteenth International Joint Conference on Artificial Intelligence, Vol.1, pp.1622-1631 (August 1997)
  175. T. Washio and H. Motoda: Discovering Admissible Models of Complex Systems Based on Scale-Types and Identity Constraints, Proc. of IJCAI'97: Fifteenth International Joint Conference on Artificial Intelligence, Vol.2, pp.810-817 (August 1997)
  176. T. Tomiyama, T. Murakami, T. Washio, A. Kubota, H. Takeda, T. Kiriyama, Y. Umeda, and M. Yoshioka: The Modeling of Synthesis - From the Viewpoint of Design Knowledge - Proc. of International Conference on Engineering Design (ICED'97), Vol.3, pp.97-100 (August 1997)
  177. H. Motoda, T. Washio, T. Kayama and K. Yoshida: Extracting Behavioral Patterns from Relational History Data, Proc. of the Workshop on Machine Learning for User Modeling to be held in conjunction with Sixth International Conference on User Modeling, (June 1997)
  178. M. Takahashi, K. Fukui, T. Washio and M. Kitamura: Information Provision System for Maintenance Support Based on Augmented Reality and Network Computing, Proc. of the MARCON 97: International Conference on Maintenance and Reliability, pp.64.01-64.10 (May 1997)
  179. T. Washio and H. Motoda: Discovery of First Principle Based on Data-Driven Reasoning, Proc. of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), pp.169-182 (1997)
  180. T. Washio and M. Kitamura: Identification of Hidden Factors in Subjective Evaluation of Man-Machine Interface, Proc. of CSEPC'96: Cognitive Systems Engineering in Process Control, pp.172-175 (November 1996)
  181. Y. Niwa, T. Washio and M. Terabe: An Agent-Based Emergency Operating Procedure in Nuclear Power Plant, Proc. of CSEPC'96: Cognitive Systems Engineering in Process Control, pp.107-113 (November 1996)
  182. H. Motoda: Can Machine Learn in the Same Way as Humand Do?, Proc. of the First Interenational Conference on Applied Ergonomics, pp.479-484 (1996)
  183. H. Motoda: Application of Graph-Based Induction to Automated User Modeling, Proc. of Machine Learning meets Human Computer Interaction, pp.1-4 (1996)
  184. T. Washio and H. Motoda: Discovery of Possible Law Formulae Based on Measurement Scale, Proc. of the Fourth International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery, pp.209-216 (November, 1996) Sanjo Kaikan, University of Tokyo, Tokyo, Japan
  185. B.H. Kang, K. Yoshida, H. Motoda, M. Iwayama and P. Compton: Help Desk System with Intelligent Interface, Proc. of the 1966 Pacific Rim Knowledge Acquisition Workshop, pp.313-332 (1996)
  186. T. Washio and H. Motoda: Discovery of Possible Law Equations by Combined Use of Scale-Based and Data-Driven Reasoning, Working Note of PKAW'96: The Pacific Knowledge Acquisition Workshop, pp.130-149 (October 1996)
  187. T. Washio, J. Okusa and A. Endou: Intelligent virtural measurements in a process plant based on model-based diagnosis, DX-96: Seventh International Workshop on Principles of Diagnosis, pp.249-257 (October 1996)
  188. T. Washio, H. Motoda and M. Kitamura: Decision Process Modeling Based on Consensus Among Fuzzy Integral and AHP, Proc. of the 4th International Conference on Soft Computing, Vol.1, pp.308-311 (October 1996)
  189. T. Washio and H. Motoda: A History-oriented Envisioning Method, Proc. of PRICAI'96 (4th Pacific Rim International Conference on Artificial Intelligence), pp. 312-323 (August 1996)
  190. M. Terabe, T. Washio, O. Katai and T. Sawaragi: A Study of Organization Learning in Multiagent Systems Proc. of ECAI'96 Workshop on Learning in Distributed Artificial Intelligence Systems: Working Notes, pp.110-119 (August 1996)
  191. T. Washio and H. Motoda: Scale-Based Reasoning on Possible Law Equations, AAAI Technical Report: Qualitative Reasoning, The Tenth International Workshop, pp.255-264 (May 1996)

Before 1996

  1. T. Washio and M. Kitamura: Worm-Type Agents for Intelligent Operation of Large-Scale Man-Machine Systems, Symbiosis of Human and Artifact (Proc. of HCI International '95: 6th International Conference on HUMAN-COMPUTER INTERACTION), Y. Anzai, K. Ogawa and H. Mori Eds., Elsevier Science B.V., pp.925-930 (1995)
  2. M. Kitamura, H. Furukawa, R. Koza and T. Washio: Guiding Rules for Development of Intelligent Monitoring System of Nuclear Power Plants, Proc. of SMORN VII: A Symposium on Nuclear Reactor Surveillance andDiagnostics., pp.14.5.1-14.5.9 (1995)
  3. T. Washio and M. Kitamura: A Fast History-oriented Envisioning Method Introducing Temporal Logic, Working Papers of QR'95: The Ninth International Workshop on Qualitative Reasoning about Physical Systems pp.279-288 (1995)
  4. K. Yoshida and H. Motoda: Table, Graph and Logic for Induction , Proc. of Machine Intelligence Workshop, Oxford, UK (1995)
  5. H. Narayanan, M. Suwa, and H. Motoda: Diagram-based Problem Solving: The Case of an Impossible Problem, Proc. of the Seventeenth AnnualConference of the Cognitive Science Society, pp.206-211(1995)
  6. K. Yoshida and H. Motoda: Automated User Modeling for Intelligent Interface,Proc. of the Sixth International Conference on Human-Computer Interaction, Symbiosis of Human and Artifact, Y. Anzai, K. Ogawa and H.Mori (Editors), Elsevior Science B.V., pp.1103-1108 (1995)
  7. M. Suwa and H. Motoda: On Dealing with the Dynamic Utility of Learned Knowledge, Handout of International Workshop on Machine Intelligence(1993), Revised paper to appear in Machine Intelligence, Vol.14, OxfordUniv. Press (1995)
  8. A. Kawaguchi, S. Nishioka and H. Motoda: A Flash-Memory Based File System," Proc. of USENIX Techincal Conference, pp.155-164 (1995)
  9. T. Washio and M. Kitamura: Towards a Theory of Diversity-based Diagnosis, Working Papers of DX-94: The Fifth International Workshop on Principles of Diagnosis., pp.352-356 (1994)
  10. T. Washio: A History-oriented Envisioning Method, Working Papers of QR'94: the Eighth International Workshop on Qualitative Reasoning about Physical Systems., pp.286-294 (1994)
  11. M. Kitamura, H. Furukawa, M. Sakuma, R. Kozma and T. Washio: Robust Diagnosis of Nuclear Plant Anomalies Through Multiple Neuro-Agent Cooperation, Trans. Am. Nucl. Soc., Vol.70, pp.105-107 (1994)
  12. T. Washio, M. Sakuma and M. Kitamura: A Diagnosis Method for Multiple Failures in a Nonlinear and Dynamic Process, Proc. of AI'94: Tenth Canadian Conference on Artificial Intelligence pp.139-146 (1994)
  13. M. Kitamura, H. Furukawa, M. Sakuma and T. Washio: Diversity and Consensus as Key Concepts for Design of Intelligent Operator Support System, Proc. of the Fourth International Topical Meeting on Nuclear Thermal Hydraulics, Operations and Safety., pp.41-C-1 - 41-C-8 (1994)
  14. K. Yoshida and H. Motoda: User Model Acquisition for Intelligent UserInterface, Proc. of the Third Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW94), pp.107- 119 (1994)
  15. H. Narayanan, M. Suwa, and H. Motoda: How Things Appear to Work:Predicting Behaviors from Device Diagrams, Proc. of Twelveth National Conference on Artificial Intelligence (AAAI-94), Vol. 2, pp.1161-1167(1994)
  16. H. Narayanan, M. Suwa, and H. Motoda: Qualitative Behavior Hypothesis from Device Diagrams, Proc. of the Eighth International Workshop on Qualitative Reasoning about Physical Systems, pp.197-204 (1994)
  17. M. Suwa and H. Motoda: PCLEARN: A model for learningperceptual-chunks, Proc. of the Sixteenth Annual Conference of the Cognitive Science Society, pp.830-835 (1994)
  18. H. Narayanan, M. Suwa, and H. Motoda: A Study of Diagrammatic Reasoning from Verbal and Gestural Data, Proc. of the Sixteenth AnnualConfer ence of the Cognitive Science Society, pp.652-657 (1994)
  19. M. Iwayama, N. Indurkhya and H. Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models and its Application to Transmembrane Domain Classification, Proc. of '93 Japan/Korea Joint Conference on Expert Systems, pp.319-324 (1994)
  20. M. Suwa and H. Motoda: Learning Perceputually-chunked Macro-operators, Handout of International Workshop on Machine Intelligence (1992), Revised paper in Machine Intelligence, Vol.13,pp.419-440, Oxford Univ. Press (1994)
  21. K. Yoshida, H. Motoda and N. Indurkhya: Unifying Learning Methods by Colored Digraphs, Proc. of ALT'93, pp.342-355 (1993)
  22. M. Suwa and H. Motoda: A perceptual criterion for visually controlling learning, Proc. of ALT93, pp.356-369 (1993)
  23. M. Iwayama, N. Indurkhya and H. Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models, Proc. of ALT'93, pp.237-250 (1993)
  24. Yoshida, H. Motoda and N. Indurkhya: Unifying Learning Methods byColored Digraphs, Proc. of IJCAI-93 workshop on Machine Learning and Knowledge Acquisition, August, pp.253-269 (1993)
  25. Hari N. Narayanan and H. Motoda: Behavior Hypothesis from Schematic Diagrams : A Hybrid Approach , Proc. of IJCAI-93 Workshop on Principles on Hybrid Representation and Reasoning, August, pp.50-61 (1993)
  26. M. Suwa and H. Motoda: A perceptual criterion for visually controlling learning, Proc. of IJCAI-93 Workshop on Principles on Hybrid Representation and Reasoning, August, pp.72-83 (1993)
  27. H. Motoda, K. Yoshida and M. Suwa: Some Insights into the Nature of Learning from Machine Learning Studies , Proc. of the 1993 Korea/Japan Joint Conference on Expert Systems, pp.288-302 (1993)
  28. M. Kitamura, K. Kuchimura, H. Furukawa and T. Washio: Advanced Diagnosis of Complex Dynamic Systems Through ConsensusFormation Among Multiple Neural Networks, Intelligent Engineering Systems Through Artificial Neural Networks (Proc. of ANNIE'93: Artificial Neural Networks in Engineering) Vol.3, pp.641-64 (1993)
  29. M. Kitamura, H. Furukawa, M. Sakuma and T. Washio: Combining Advisory and Credibility Information as CommunicationMessage from Intelligent Machine for Efficient Man-Machine Cooperation, Proc. of RO-MAN'93: 2nd IEEE International Workshop on Robot and HumanCommunication., pp.253-258 (1993)
  30. T. Washio, M. Sakuma and M. Kitamura: A Diagnosis Method for Multiple Process Failures, Working Papers of DX-93: The FourthInternational Workshop on Principles of Diagnosis., pp.327-340 (1993)
  31. M. Kitamura, H. Furukawa, K. Kuchimura and T. Washio: Diversification of Symptom Description and Causal Reasoning forHigher Credibility of Computer-Assisted Diagnosis in Nuclear Plants, Proc. of the Topical Meeting on Nuclear Plant Instrumentation, Control, and Man-Machine Interface Technologies., pp.427-434 (1993)
  32. R. Takahashi, A. Kameda and T. Washio: Fuzzy Evaluation Methodology for Man-Machine Task Allocation, Proc. of Post ANP'92 Conference Seminaron Human Cognitive and Cooperative Activities in Advanced Technological Systems., pp.13-24 (1992)
  33. T. Washio, H. Takahashi and M. Kitamura: A Method for Supporting Decision-Making on Plant Operation Based on Human Reliability Analysis with Fuzzy Integral Proc. of IIZUKA'92: The 2nd International Conference on Fuzzy Logic and Neural Networks., Vol.2, pp.841-845 (1992)
  34. T. Washio and M. Kitamura: A New Approach to Plant Component Diagnosis Based on Credible and Transparent Physical Knowledge, Proc. of 8th Power Plant Dynamics,Control \& Testing Symposium., Vol.1, pp.15.01-15.16 (1992)
  35. T. Washio and J. A. Bernard: Stability Considerations Concerning the Implementation of the MIT-SNL Period-Generated Minimum Time Control Laws, Space Nuclear Power Systems 1989, M. S. El-Genk and M. D. Hoover Eds.,Orbit Book Co., pp.393-404 (1992)
  36. J. A. Bernard, K. S. Kwok, T. Washio, F. J. Wyant and F. V. Thome: Experimental Demonstration of the MIT-SNL Period-Generated MinimumTime Control Laws for Rapid Increases of Reactor Power from SubcriticalConditions, Space Nuclear Power Systems 1989, M. S. El-Genk and M. D. Hoover Eds., Orbit Book Co., pp.381-392 (1992)
  37. M. Suwa and H. Motoda: Primitive Matching Approach: A Calculation Modelfor Finding Analogical Correspondences in Metaphorical Sentences - Preliminary Experimental Results, Proc. of CSLI/IAP Japan Forum,Sep.10-11, Tokyo (1992)
  38. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling , Proc. of The Sixth International Workshop on Qualitative Reasoning about Physical Systems, Edinburgh, Scotland (1992)
  39. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling, Working Note on Approximation and Abstraction of Computational Theories, AAAI-92 Workshop, San Jose (1992)
  40. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling , Proc. of the Second Pacific Rim International Conference on Artificial Intelligence (PRICAI92), pp.910-916, Korea (1992)
  41. K. Yoshida and H. Motoda: Automatic Knowledge Reformulation, Proc.of the Second Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW92), pp.279-293 (1992)
  42. A. Levy, H. Motoda and Y. Iwasaki: Acquiring (Ir)relevance Knowledge for Problem Solving , Proc. of the Second Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW92), pp.263-278 (1992)
  43. T. Washio, Y. Kitamura, H. Takahashi and M. Kitamura: Decision Support for Operability Improvement and Maintenance Planning by Analytic Hierarchy Process Methodology, Probabilistic Safety Assessment and Management (Proc. of PSAM:International Conference on Probabilistic Safety Assessment and Management), G. Apostolakis Eds., Vol.2, pp.1451-1456 (1991)
  44. M. Suwa and H. Motoda: Learning Abductive Strategies from an Example, Invited, Proc. of the Workshop on Empirical Machine Learning, pp.36-43 (1991)
  45. M. Suwa and H. Motoda: Learning Metaphorical Relationships betweenConcepts based on Semantic Representation using Abstract Primitives ,Proc. of IJCAI Workshop on Non-literal Language: Metaphor, Metonymy, Idion,Speech Acts, Implicature, pp.123-131 (1991)
  46. M. Suwa and H. Motoda: The Use of Abstract Primitives in Representingthe Meaning of Verbs for Understanding Metaphors , Proc. of ALT91,pp.231-242 (1991)
  47. M. Suwa and H. Motoda: Acquiring Strategic Knowledge for Overcoming Imperfect Situations , Proc. of the First Australian Knowledge Acquisitionfor Knowledge-Based Systems Workshop (AKAW91), pp.1-16 (1991)
  48. M. Suwa and H. Motoda: Learning Metaphorical Relationships Between Concepts based on Semantic Representation Using Abstract Primitives, Working Note of the AAAI-91 Workshop on Working Note on the IJCAI-91 Workshop on Computational Approacehs to Non-Literal Language Metaphor, Metonymy, Idiom, Speech Acts, Implicature IJCAI91 non-literal workshop ,pp.72-79 (1991)
  49. M. Suwa and H. Motoda: Learning Abductive Strategies from an Example , Working Note of the AAAI-91 Workshop on Towards Domain-independent Strategies for Abduction (1991)
  50. T. Washio: Development of a Quantitative and Symbolic Causal Reasoning Method for Spacecraft Nuclear Reactors, Proc. of the Seventh Symposium on Space Nuclear Power Systems CONF-900109., pp.968-975 (1990)
  51. S. H. Lau, T. Washio, K. S. Kwok, J. A. Bernard, D. D. Lanning and F. J. Wyant: A Methodology for the Control of Core Average Temperature inSpacecraft Nuclear Reactors Proc. of the Seventh Symposium on Space Nuclear Power Systems CONF-900109., pp.956-961 (1990)
  52. S. Kobayashi, T. Terano, H. Motoda and R. Mizoguchi: Research Activities of Knowledge Acquisition and Learning in Japan (Invited), Proc. of JKAW-90, pp.113-133 (1990)
  53. A. Kawaguchi, H. Motoda and R. Mizoguchi: An Architecture of Knowledge Acquisition by Interview based on Dynamic Analysis, Proc. of JKAW-90, pp.81-96 (1990)
  54. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximation, Proc. of JKAW-90, pp.345-360 (1990)
  55. K. Yoshida and H. Motoda: Towards Automatic Generation of Hierarchical Knowledge Base, Working Note of the AGAA-90 Workshop,pp.98-109 (1990)
  56. H. Motoda: Towards Deep Understanding in Problem Solving, Invited, Proc. of The First International Conference on Supercomputing in Nuclear Applications (SNA'90), pp.569-574 (1990)
  57. T. Washio: Derivation of Exogenously-Driven Causality Based on Assumptive Structural Equations, Working Papers of QR'89: The Third International Workshop on Qualitative Reasoning (1989)
  58. J. A. Bernard and T. Washio: The Utilization of Expert Systems Within the Nuclear Industry, Proc. of the American Control Conference., Vol.1, pp.373-378 (1989)
  59. M. Kitamura, T. Washio, T. Baba and K. Sugiyama: Evaluation of Signal Importance for Effective Implementation of Functional Redundancy, Proc. of Computing and Computers for Control Systems (IMACS), P. Borne etal. Eds., J. C. Baltzer AG Scientific Publishing Co., pp.315-317 (1989)
  60. T. Washio and J. A. Bernard: Stability Considerations and Noise Reduction in the Implementation of the MIT-SNL Period-Generated Minimum Time Control Laws, Proc. of the Sixth Symposium on Space Nuclear Power Systems CONF-890103-Summs., pp.476-479 (1989)
  61. J. A. Bernard, K. S. Kwok, T. Washio, F. J. Wyant and F. V. Thome: The Automated Startup of Spacecraft Nuclear Reactors, Proc. of the Sixth Symposium on Space Nuclear Power Systems CONF-890103-Summs., pp.466-469 (1989)
  62. M. Suwa and H. Motoda: Understanding Metaphors by Frustration-Based Learning Method, Proc. of Fourth Knowledge Acquisition for Knowledge-Based Systems Workshop, pp.33\_1-33\_17, (1989)
  63. A. Sakurai and H. Motoda: Proving Definite Clauses without Explicit Use of Inductions, Logic Programming '88, Lecture Note in Artificial Intelligence 383, Springer Verlag, pp.11-26 (1989)
  64. J. A. Bernard, K. S. Kwok and T. Washio: Autonomous Controlof Spacecraft Nuclear Reactors, Proc. of SPIE Conference: Space Station Automation IV SPIE., Vol.1006, pp.28-45 (1988)
  65. J. A. Bernard and T. Washio: An Examination of Expert Systems Activities Within the Nuclear Industry, Trans. Am. Nucl. Soc., Vol.57, pp.240-241 (1988)
  66. T. Washio and J. A. Bernard: Development and Experimental Demonstration of a Noise Reduction Technique for a Non-Linear Dynamic System, Trans. Am. Nucl. Soc., Vol.57, pp.96-97 (1988)
  67. T. Washio, M. Kitamura and K. Sugiyama: A Method of FailureDiagnosis Based on Time-Domain Failure Symptoms, Trans. Am. Nucl. Soc. 13th Biennial Conference on Reactor Operating Experience \& International Meeting on Nuclear Power Plant Operation., Vol.54, Suppl.1, pp.148-149 (1987)
  68. M. Kitamura, T. Baba, T. Washio and K. Sugiyama: Development of Knowledge Base System for Assisting Signal Validation Scheme Design, Proc. of the Topical Meeting "Artificial Intelligence and Other InnovativeComputer Applications in the Nuclear Industry: Present and Future", M. C.Majumdar, D. Majumdar, J. I. Sackett, Eds., Plenum Press, pp.141-147 (1987)
  69. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Automated Generation of Nuclear Power Plant Safety Information(Qualitative Simulation and Derivation of Failure Symptom Knowledge), Proc. of 6th Power Plant Dynamics, Control \& Testing Symposium., Vol.1, pp.39.01-39.17 (1986)
  70. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Advanced Techniques of Time Series Analysis for Reactor Surveillance and Diagnosis, Proc. of 6th Power Plant Dynamics, Control \& Testing Symposium., Vol.1, pp.23.01-23.18 (1986)
  71. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Semantic Network Approach to Automated Failure Diagnosis in Nuclear Power Plant, Proc. of ANS International Topical Meeting on Computer Applications for Nuclear Power Plant Operation and Control., pp.654-661 (1985)
  72. H. Motoda, N. Yamada and K. Yoshida: A Knowledge Based System for Plant Diagnosis, Proc. of FGCS-84, pp.582-588 (1984)
  73. H. Motoda, N. Yamada and K. Yoshida: Preliminary Study of Diagnosis through Knowledge about Systems Descriptions, Tran. Am. Nucl. Sci.,Vol.41, pp.294-295 (1984)
  74. T. Kiguchi, K. Yoshida, H. Motoda and S. Kobayashi: A Method of Plant Diagnosis by Knowledge Engineering Technique, Proc. of Enlarged Halden Programm Group Meeting, OECD Halden Reactor Project, pp.G-2/1-G-2/7, Loen,Norway (May 1983)
  75. N. Yamada and H. Motoda: A Diagnosis Method of Dynamic System Using the Knowledge on System Description, Proc. of Eight International JointConference on Artificial Intelligence (IJCAI-83), pp.225-229 (1983)
  76. H. Motoda, Y. Bessho, T. Hayase and K. Kato: Multi-Region Neutronics Model for Slow Transient Analysis of BWRs, Trans. Am. Nucl. Soc., Vol.38,pp.352-354 (1981)
  77. O. Yokomizo, I. Sumida and H. Motoda: Development of a Time-DomainBWR Core Stability Analysis Program, Trans. Am. Nucl. Soc., Vol.34,pp.605-606 (1980)
  78. T. Kiguchi, H. Motoda, S. Kobayashi, S. Uchikawa, M. Yokomi, H. Iidaand H. Nakamura: On-Line Core Performance Evaluation and Operating Guidance System for Boiling Water Reactors, Proc. of IAEA InternationalSymposium on Nuclear Power Plant Control and Instrumentation,IAEA-SM-226/30, pp.1-23, Cannes, France (April, 1978)
  79. T. Enomoto, Y. Bessho, T. Kiguchi, H. Motoda, T. Hayase and H. Hiranuma: Development of Startup Control Rod Programming Code System for BWRs, Trans. Am. Nucl. Soc., Vol.30, pp.648-648 (1978)
  80. M. Serizawa, H. Motoda, S. Kobayashi, S. Yamada, H. Iida, M. Yokomi and H. Nakamura: Experience with Computer Based Systems Applied to BoilingWater Reactor Power Plant, Proc. of Joint Automatic Control Conference,FP21-3:50, pp.360-366, San Francisco (June, 1977)
  81. T. Kiguchi, T. Fukuzaki, Y. Nishizawa and H. Motoda: Evaluation of On-Line Power Distribution Prediction Method by BWR Operating Data, Trans. Am. Nucl. Soc., Vol.27, pp.728-730 (1977)
  82. T. Hayase and H. Motoda: BWR Control Rod Programming Using Heuristic and Mathematical Methods, Trans. Am. Nucl. Soc., Vol.27, pp.727-728(1977)
  83. Y. Nishizawa, T. Kiguchi and H. Motoda: On-Line Core Performance Prediction of BWR, Trans. Am. Nucl. Soc., Vol.22, pp.242-243 (1975)
  84. T. Kiguchi and H. Motoda: Development of Computer Program STROD for Startup Control Rod Programming of BWR, Paper presented at IAEA Specialists' Meeting on Spatial Control Problems, Nykoping, Sweden (Oct.,1974)
  85. T. Kiguchi and H. Motoda: Development of Computer Program INROD for Intermediate Term Control Rod Programming of BWR, Paper presented at IAEA Specialists' Meeting on Spatial Control Problems, Nykoping, Sweden (Oct.,1974)
  86. H. Motoda, T. Kiguchi and T. Kawai: Computer Program for Control Rod Programming of BWR, Trans. Am. Nucl. Soc., Vol.16, pp.171-172 (1973)
  87. H. Motoda, T. Kiguchi and T. Kawai: Optimal Rod Programming and Loading Pattern in a Multiregion Reactor, Trans. Am. Nucl. Soc., Vol.15,pp.105-106 (1972)
  88. M. Senoh and H. Motoda: Hybrid Simulation of Nuclear Reactor for Optimal Fuel Management, Proc. of AICA Symposium, pp.G-3/1-G-3/5, Tokyo (April, 1971)

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Books

  1. W. Ding and T. Washio: Proceedings of ICDM 2013 Workshops, IEEE Press (2013)
  2. T. Washio, J. Luo: Emerging Trends in Knowledge Discovery and Data Mining, Springer, LNAI7769, pp.1-156 (2012)
  3. T. Washio, E. Suzuki and K. M. Ting: Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008), Knowledge and Information Systems, Springer, Vol.25, No. 2, pp.209-210 (2010)
  4. Zhi-Hua Zhou and Takashi Washio (Eds.): Advances in Machine Learning, Advances in Machine Learning, Proc. of First Asian Conference on Machine Learning, ACML 2009, Lecture Notes in Computer Science (LNCS), Lecture Notes in Artificial Intelligence (LNAI), Vol. 5828 (2009)
  5. Takashi Washio: Special Issue on Data-Mining and Statistical Science, New Generation Computing, Computing Paradigms and Computational Intelligence, Guest Editor T. Washio, Vol.27, No.4 (2009)
  6. Chawla, S.; Washio, T.; Minato, S.-i.; Tsumoto, S.; Onoda, T.; Yamada, S.; Inokuchi, A.: New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008, Revised Selected Papers, LNCS: Lecture Notes in Computer Science, LNAI: Lecture Notes in Artificial Intelligence, Vol. 5433 (2008)
  7. Kenta Fukata, Takashi Washio, Katsuyoshi Yada and Hiroshi Motoda: A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis, Data Mining for Design and Marketing, Edited by Yukio Osawa and Katsuyoshi Yada, CRC Press, Taylor & Francis Corp., Chapter 5, pp.81-94 (2009)
  8. Tomoyuki Higuchi and Takashi Washio (Eds.): Featured section on data mining and statistical science, Anals of the Institute of Statistical Mathematics, Vol.60, No.4 (2008)
  9. TakashiWashio, Einoshin Suzuki, Kai Ming Ting and Akihiro Inokuchi (Eds.): Advances in Knowledge Discovery and Data Mining, Proc. of 12th Pacific-Asia Conference of Knowledge Discovery and Datamining, PAKDD 2008, Lecture Notes in Computer Science (LNCS) Vol.5012, Springer, Berlin, Heidelberg, NewYork (2008)
  10. Carlos Soares, Younghong Peng, Jun Meng, Takashi Washio and Zhi-Hua Zhou: Applications of Data Mining in E-Business and Finance, Frontiers in Artificial Intelligence and Applications, No.177, IOS Press (2008)
  11. Takashi Washio and Shusaku Tsumoto: International Workshop on Risk Informatics (RI2007), Post Proc. of JSAI 2007 Conference and Workshops, Miyasaki, Japan, June, 2007: New Frontiers in Artificial Intelligence, LNAI4914, pp.245-246 (2008)
  12. Takashi Washio, et al. (Eds): Emerging Technologies in Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence (LNAI), Lecture Notes in Computer Science (LNCS), Vol. 4819, ISBN: 978-3-540-77016-9, Springer (2007)
  13. Takashi Washio and Hiroshi Motoda: Communicability Criteria of Law Equation Discovery, Computational Discovery of Scientific Knowledge, Introduction, Techniques and Applications in Environmental and Life Sciences, LNAI4660, pp.98-119, Springer (2007)
  14. Takashi Washio: Special Issue: Applications eligible for data mining, Advanced Enineering Informatics, Vol.21, 2007, pp.241-301 (2007)
  15. Kouzou Ohara, Phu Chien Nguyen, Akira Mogi, Hiroshi Motoda and Takashi Washio: Constructing Decision Teee Based on Chunkingless Graph-Based Induction, Mining Graph Data, Eds: Diane J. Cook and Lawrence B. Holder, Chap.8, pp.203-226, Wiley-Interscience, A John Wiley & Sons, Inc. (2007)
  16. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Extracting Discriminative Patterns from Graph Structured Data using Constrained Search, Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers, LNAI 4303, pp.64-74 (2006)
  17. Takashi Washio, Ken Satoh, Hideaki Takeda and Akihiro Inokuchi (Eds.): New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 2006, Revised Selected Papers, New Frontiers in Artificial Intelligence, LNAI 4384, Springer (2006)
    18. Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo, Makoto Yokoo (Eds.):New Frontiers in Artificial Intelligence: Joint JSAI 2005 Workshop Post-Proceedings, Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, ISSN: 0302-9743, Subject: Computer Science, LNAI4012 (2006)
  18. Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo and Makoto Yokoo (Eds.): New Frontiers in Artificial Intelligence: Proceedings of the 19th Annual Conferences of the Japanese Society for Artificial Intelligence, JSAI 2005 Workshops, LNAI 4012, Springer-Verlag (2006)
  19. Takashi Washio and Hiroshi Motoda: Data Mining and Knowledge Discovery Handbook, C5.4.1 - Methodology for Equation Fitting, Springer, ISBN:0387244352 pp.368-375 (2005)
  20. Takashi Washio, Joost .N. Kok and Luc De Raedt (Eds): Advances in Mining Graphs, Trees and Sequences, Frontiers in Artificial Intelligence and Applications, IOS Press, ISBN I-58603-528-2, ISSN 0922-6389 (2005)
  21. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs, pp.53-82, Advances in Mining Graphs, Trees and Sequences, T. Washio, J.N.Kok and L. De Raedt (Eds.), Frontiers in Artificial Intelligence and Applications, IOS Press, ISBN I-58603-528-2, ISSN 0922-6389 (2005)
  22. S. Tsumoto, T. Yamaguchi, M. Numao and H. Motoda, "Active Mining'', Lecture Notes in Artificial Intelligence 3430, Springer (2005)
  23. H. Motoda (ed.), "Active Mining - New Directions of Data Mining -'', Frontiers in Artificial INtelligence and Applications, IOS Press (2002)
  24. H. Liu and H. Motoda, "Instance Selection and Construction for Data Mining (Eds.)'', Kluwer Academic Publishers (2001)
  25. P.Compton, A. Hoffmann, H. Motoda and T. Yamaguchi, "Proc. of the 6th Pacific Rim Knowledge Acquisition Workshop (PKAW2000) (2000)
  26. H. Motoda, R. Mizoguchi, P. Compton and H. Liu (Eds), "Pacific Rim Knowledge Acquisition Workshop (PKAW98)'' (1998)
  27. S. Arikawa and H. Motoda (Eds.): Discovery Science, Lecture Notes in Artificial Intelligence 1532, Springer (1998)
  28. H. Lee and H. Motoda (Eds.): PRICAI98: Topics in Artificial Intelligence, Lecture Notes in Artificial Intelligence 1531, Springer (1998)
  29. H. Liu and H. Motoda (Eds.): Feature Extraction, Construction and Selection -Data Mining Perspective -, Kluwer Academic Publishers (1998)
  30. H. Liu and H. Motoda: Feature Selection for Knowledge Discovery and Data Mining, Kluwer Academic Publishers (1998)
  31. H. Lu, H. Motoda and H. Liu (Eds.), "KDD: Techniques and Applications'', World Scientific (1997)
  32. T. Washio and M. Kitamura: Human Reliability Analysis with Fuzzy Integral, Reliability and Safety Analyses under Fuzziness (Chap.6), T.Onisawa and J.Kacprzyk, Eds., Physica-Verlag Heidelberg, pp.233-244 (1995)
  33. H. Motoda: Plant Diagnosis (in English), AI Technology (Chapter 6),Ed. by F. Mizoguchi, Ohmsha, pp.109-147 (1990)
  34. J. A. Bernard and T. Washio: Expert Systems Applications within the Nuclear Industry, American Nuclear Society, La Grange Park IL USA, (1989)

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Review Articles

  1. H. Motoda, T. Kiguchi and S. Kobayashi: Application of Knowledge Engineering to Nuclear System (in Japanese), Invited, Systems and Control, Vol.27, No.7, pp.448-454 (1983)
  2. Y. Kobayashi and H. Motoda: Teknowledge that sells Knowledge Engineering (in Japanese), Invited, Journal of Mechanical Society of Japan, Vol.86, No.780, pp.1300-1301 (1983)
  3. T. Kiguchi and H. Motoda: Application of Knowledge Engineering to Nuclear System (in Japanese), Invited, Energy Review, Vol.1, pp.7-11 (1894)
  4. H. Motoda: Problem Solving by Knowledge (in Japanese), Invited, Journal of Atomic Energy Society of Japan, Vol.26, No.4, pp.271-276 (1984)
  5. H. Motoda: Application of Knowledge Information Processing to Plant Control (in Japanese), Invited, Computol, Vol.10, pp.147-153 (1985)
  6. H. Motoda, T. Ogino, K. Sekimizu, Y. Shinohara and M. Kitamura: Knowledge Engineering and Nuclear Technology (in Japanese), Invited, Journal of Atomic Energy Society of Japan, Vol.28, No.9, pp.2-13 (1986)
  7. M. Ishizuka, A. Koyama, S. Takagi, J. Tujii, H. Motoda, and H. Ueno: Problems with Expert Systems (in Japanese), Invited, Information Processing, Vol.28, No.2, pp.218-236 (1987)
  8. H. Motoda: New Technical Trends of Machine Learning and Knowledge Acquisition (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.3, No.6, pp.691-694 (1988)
  9. H. Motoda: Hurdle for Knowledge Information Processing - Expert System - (in Japanese), Invited, Journal of IEICE, Vol.72, No.3, pp.265-271 (1989)
  10. H. Motoda and K. Yoshida: Qualitative Reasoning as a Basis of Deep Reasoning (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.4, No.5, pp.538-546 (1989)
  11. H. Motoda: Current Status of Expert System Development and RelatedTechnologies in JAPAN, Invited, IEEE Expert, Vol.5, No.4, pp.3-11 (1990)
  12. H. Motoda and K. Yoshida: Application of Qualitative Reasoning to Knowledge Acquisition (in Japanese), Invited, Journal of IPSJ., Vol.32, No.2, pp.153-162 (1991)
  13. H. Motoda, R. Mizoguchi, J. Boose and B. Gaines: Knowledge Acquisition for Knowledge-based Systems, Invited, IEEE Expert, Vol. 6,No.4, pp.53-64 (1991)
  14. H. Motoda: Approach to Knowledge Reuse - Research Activities in KADS related projects in Europe - (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.9, No.1, pp.10-16 (1994)
  15. T. Washio: Application of Fuzzy Integral to Human Reliability, Special Issue on Application of Fuzzy Thepry to Reliability and Risk Analysis: Journal of Japan Society for Fuzzy Theory and Systems, Vol.5, No.5, pp.958-969 (1993)
  16. H. Motoda: Book Review: Second Generation Expert System, Edited by Jean-Marc David, Jean-Paul Krivine and Raid Simmons, Invited, IEEE Expert, Vol.9, No.2, pp.66-76 (1994)
  17. R. Mizoguchi and H. Motoda: Expert Systems Research in Japan, Invited, IEEE Expert, Vol.10, No.4, pp.14-23 (1995)
  18. H. Motoda and T. Washio: Machine Learning and Data Mining, Journal of Japanese Society for Artificial Intelligence ,Vol.12, No.4, pp.11-18 (1997)
  19. H. Liu and H. Motoda: Feature Transformaion and Subset Selection, IEEE Intelligent Systems, Vol. 13, No. 2, pp.26-28 (1998)
  20. T. Washio and H. Motoda: Theory of Scale Types (in Japanese), Journal of Japan Society for Fuzzy Theory and Systems ,Vol.10, No.3, pp.401-413 (1998)
  21. T. Washio: Model-based Diagnosis (in Japanese), Journal of the Atomic Energy Society of Japan, Vol.40, No.9, pp. 664-667 (1998)
  22. Hiroshi Motoda and Takashi Washio: Discovery of Laws, IEICE Transactions on Information and Systems, Special Issue on Surveys on Discovery Scoence, Vol.E83-D, No.1, pp.44-51 (2000)
  23. H. Motoda and S. Arikawa, "Special Feature on Discovery Science,'' New Generation Computing, Vol.18, No.1, pp.13-16 (2000)
  24. Takashi Washio and Hiroshi Motoda: State of the Art of Graph-based Data Mining, ACM, SIGKDD Explorations, Vol.5, Issue 1, pp.59-68 (2003)

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