Publication onoda-labo

崇小野田 / 2018年10月12日

Takashi Onoda

Contact Address:
Professor
Department of Industrial and Systems Engineering
College of Science and Engineering, Aoyama Gakuin University
5-10-1 Fuchinobe, Chuo-ku, Sagamihara-shi,
Kanagawa 252-5258 JAPAN
email: onoda[at]ise.aoyama.ac.jp

Access

Sagamihara Campus, Aoyama Gakuin University

Links

-Yamada Lab.
-Nitta Lab.
-CRIEPI
-College of Science and Engineering, Aoyama Gakuin University

Books

Takashi Onoda，Support Vector Machines，Ohmsha，2007 (in Japanese)．
Takashi Onoda,「Large Margin Classifiers」, Japanense Society of Artficial Intelligence, Encyclopedia of Artificial Intelligence, KYORITSU SHUPPAN CO., LTD, 2005 (in Japanese).
Gunnar Raetsch, Bernhard Schoelkopf, Alex-J. Smola, Sebastian Mika, Takashi Onoda, and Klaus-R. Muller： Robust ensemble learning. Advances in Large Margin Classifiers, pages 207-219. MIT Press, Cambridge, MA, 2000．

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Journal Papers

Takashi Onoda, Hiroshi Murata, Seiji Yamada: SVM-based Interactive Document Retrieval with Active Learning, New Generation Computing, Vol.26, No.1, pp.49-61 2008.
Takashi Onoda: Overfitting of Boosting and Regularized Boosting Algorithms, Electronics and Communications in Japan, Part 3: Fundamental Electronic Science, Vol.90, No.9, pp.69-78 2007.
Gunnar Raetsch, Takashi Onoda, Klaus-R. Mueller: Soft margins for AdaBoost, Machine Learning, Vol.42, pp.287-320 2001.
Takashi Onoda, Hiroshi Sekimoto: A Neutron Spectrometry Unfolding Code based on Quadratic Programming, Nuclear Instruments and Methods in Physics Research A272, pp.844-846 1988.

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Conferences

Takahiro Nishigaki, Takashi Onoda: A Clustering Method based on Independent Component Analysis, In Proceedings of the 2013 Conference on Technologies and Applications of Artificial Intelligence, Nov. 2013.
Takashi Onoda, Mai Kiuchi: Analysis of Intrusion Detection in Control System　Communication Based on Outlier Detection with One-Class Classifiers, In Proceedings of the 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Part V, Volume 7667 of Lecture Notes in Computer Science, pp. 275?282, 2012.
Takahiro Nishigaki, Takashi Onoda: Clustering based on independent components, In Proceedings of the International Workshop on Intelligent Web Interaction 2012 (IWI 2012), pp. 74-78, 2012.

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2010--

2005--2010

Mai Kiuchi, Takashi Onoda: Intrusion Detection in Control System Communication based on Outlier Detection with One-class Classifier, Proc. of SCIS & ISIS 2010, pp. 1301-1305, 2010.
Takashi Onoda, Miho Sakai, Seiji Yamada: Careful Seeding based on Independent Component Analysis for　k-means Clustering, In Proceedings of 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshop on Intelligent and Web Interaction 2010, pp. 112-115, 2010.
Takashi Onoda, Norihiko Ito, Hideaki Koreeda: Interactive Trouble Condition Sign Mining for Hydroelectric Power Plants, Proc. of World Automation Congress IFMIP 145, 2010.
Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Trouble condition sign discovery based on support vector machines for hydroelectric power plants, Proc. of IJCNN 2009, pp.2358-2365 2009.
Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants, Proc. of ICONIP (2) 2008, pp.663-670 2008.
Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Unusual condition monitoring based on support vector machines for hydroelectric power plants, Proc. of IEEE Congress on Evolutionary Computation 2008, pp.2254-2261 2008.
Norihiko Ito, Takashi Onoda, Hironobu Yamasaki: Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants, Proc. of PAKDD Workshops 2008, pp.181-192 2008.
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Comparison of Performance for SVM Based Relevance Feedback Document Retrieval in Several Vector Space Models, Proc. of Web Intelligence/IAT Workshops 2008, pp.169-172 2008.
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Comparison of Learning Performance and Retrieval Performance for Support Vector Machines based Relevance Feedback Document Retrieval, Proceedings of the International Workshop on Intelligent Web Interaction 2007(IWI-2007), 2007．
Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants, Proc. of IJCNN 2007, pp. 857-867, 2007.
Hiroshi Murata, Seiji Yamada, Takashi Onoda: Non-relevance Feedback Document Retrieval using Large Data Set, Proc. of SCIS & ISIS 2007, 2007.
Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants, Proceedings of the International Joint Conference on Neural Networks 2007(IJCNN 2007), 2007．
Takashi Onoda, Norihiko Ito, Kenji Shimizu: Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management, Proceedings of the International Workshop on Risk Mining 2006(RM 2006), pp. 47-58 2006．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Non-Relevance Feedback Document Retrieval Based on One Class SVM and SVDD, 2006 IEEE World Congress on Computational Intelligence, pp.2191-2198 2006．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval, Proceedings of the International Workshop on Intelligent Web Interaction 2006(IWI-2006), (2006)
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Support Vector Machines based Active Learning for the Relevance Feedback Document Retrieval, Proceedings of the International Workshop on Intelligent Web Interaction 2006(IWI-2006), (2006)
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Comparison of Retrieval Efficiency between One Class SVM based and SVDD based Non-Relevant Feedback Document Retrieval, Proceedings of The International Conference on Computational Intelligence, Robotics and Autonomous Systems 2005 (CIRAS2005) 2005．
Michiko Yamana, Hiroshi Murata, Takashi Onoda, Toru Ohashi, Seiji Kato: Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine, Proceedings of IEEE International Conference in Tools with AI 2005 (ICTAI2005), pp. 402-406 2005．
Takashi Onoda, Norihiko. Ito, Kenji Shimizu: Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants, Mining Complex Data Proceedings of a Workshop held in Conjunction with 2005 IEEE International Conference on Data Mining, pp. 73-80 2005．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: An One Class Classification Approach to Non-Relevance Feedback Document Retrieval, Proceedings of International Conference on Natural Computation 2005 (ICNC2005), pp. 1216-1225 2005．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: One Class Support Vector Machine based Non-Relevance Feedback Document Retrieval, International Joint Conference on Neural Networks 2005 (IJCNN-2005) , pp. 552-557 2005．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Relevance Feedback Document Retrieval using Support Vector Machines, AM-2003 Post-Proceedings (Springer Lecture Note 3430) , pp. 59-73 2005．
Michiko Yamana, Hiroshi Murata, Takashi Onoda, Toru Ohashi, Seji Kato: Comparison of pattern classification methods in system for crossarm reuse judgment on the basis of rust images, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA2005), pp. 439-444 2005．
Hiroshi Murata, Takashi Onoda, Seiji Yamada: Non-Relevance Feedback for Document Retrieval, Artificial Intelligence and Applications 2005 (AIA-2005) pp.84-89 2005．

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2000--2005

T. Onoda, H. Murata and S. Yamada: Relevance Feedback Document Retrieval using Support Vector Machines, International Joint Conference on Neural Networks (IJCNN-2004) 2004．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Non-Relevance Feedback Document Retrieval, The 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS-2004), pp.456-461 2004．
Takashi Onoda, Hiroshi Murata, Seiji Yamada: Relevance Feedback with Active Learning for Document Retrieval, 2003 International Joint Conference on Neural Networks (IJCNN2003), pp.1757-1762 2003．
Takashi Onoda, Hiroshi Murata, Gunnar Raetsch, Klaus-R. Mueller：Experimental analysis of Support Vector Machines with Different Kernels based on Non-Intrusive Monitoring Data，2002 International Joint Conference on Neural Networks (IJCNN2002)，pp.2186-2191 (2002)
Takashi Onoda, Hiroshi Murata, Seiji Yamda：Interactive Document Retrieval with Active Learning，International Workshop on Active Mining 2002(AM-2002) in ICDM2002，2002.12．
Hiroshi Murata, Takashi Onoda：Estimation of Power Consumption for Household Electric Appliances, 9th International Conference On Neural Information Processing, 2002.11．
Takashi Onoda, Hiroshi Murata, Gunnar Raetsch, Klaus-R. Mueller：Experimental analysis of Support Vector Machines with Different Kernels based on Non-Intrusive Monitoring Data, International Joint Conference on Neural Networks 2002, 2002.5．
Hiroshi Murata, Takashi Onoda：Applying Kernel Based Subspace Classification to a Non-Intrusive Monitoring for Household Electric Appliances, International Conference on Artificial Neural Networks, 2001.8．
Takashi Onoda, Gunnar Raetsch, Klaus-R. Mueller：Applying Support Vector Machine and Boosting to a Non-Intrusive Monitoring System for Household Electric Appliances with Inverters，Second International ICSC Symposium on NEURAL COMPUTATION，2000.5．
Gunnar Raetsch, Takashi Onoda：Robust Ensemble Learning for Data Analysis，The forth Pacific-Asia Conference on Knowledge Discovery and Data Mining，2000.4．
Gunnar Raetsch, Bernhard Schoelkopf, Alex-J. Smola, Klaus-R. Muller, Takashi Onoda, Sbastian Mika：ν - Arc: Ensemble learning in the presence of outliers, Advances in Neural Information Processing Systems 12, pp.561-567 2000．

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1990--2000

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Blog

Publication onoda-labo

Takashi Onoda

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