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Takashi Onoda
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Journal Articles
- 2018
- [j6]Takahiro Nishigaki
, Katsumi Nitta, Takashi Onoda:
An Interactive Independent Topic Analysis for a Mass Document Review Service. Rev. Socionetwork Strateg. 12(1): 47-69 (2018) - 2016
- [j5]Takashi Onoda:
Probabilistic models-based intrusion detection using sequence characteristics in control system communication. Neural Comput. Appl. 27(5): 1119-1127 (2016) - [j4]Yasunori Isozaki, Shinya Yoshizawa
Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs. IEEE Trans. Smart Grid 7(4): 1824-1835 (2016) - 2013
- [j3]Hiroshi Murata, Takashi Onoda, Seiji Yamada:
Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval. J. Adv. Comput. Intell. Intell. Informatics 17(2): 149-156 (2013) - 2007
- [j2]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
SVM-based Interactive Document Retrieval with Active Learning. New Gener. Comput. 26(1): 49-61 (2007) - 2001
- [j1]Gunnar Rätsch
Soft Margins for AdaBoost. Mach. Learn. 42(3): 287-320 (2001)
Conference and Workshop Papers
- 2024
- [c45]Yuki Mori, Seiji Yamada, Takashi Onoda:
Group Importance Estimation Method Based on Group LASSO Regression. ICPRAM 2024: 197-204 - 2023
- [c44]Iori Oki, Seiji Yamada, Takashi Onoda:
Outlier Detection Method for Equipment Onboard Merchant Vessels. ICPRAM 2023: 649-660 - [c43]Seigo Haruta, Ken-ichi Tokoro, Takashi Onoda:
SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers. ICPRAM 2023: 806-813 - [c42]Ryoma Matsubara, Takashi Onoda:
Identification of Ground Fault Causes in Distribution Lines for Large-Scale Power Customers Using Machine Learning. IEEM 2023: 1325-1329 - 2021
- [c41]Takashi Onoda
Industry-Academia Research Collaborations in the Post-corona Era: A Case Study of Remote Operations in a Japanese State-of-the-Art Research Facility. AHFE (8) 2021: 429-435 - 2019
- [c40]Mizuki Onogawa, Shinya Yoshizawa
Enhancing Security for Voltage Control of Distribution Systems Under Data Falsification Attacks. ACC 2019: 3249-3254 - 2016
- [c39]Takahiro Nishigaki, Katsumi Nitta, Takashi Onoda:
Interactive Independent Topic Analysis for Service. ICDM Workshops 2016: 560-567 - 2014
- [c38]Takashi Onoda:
Probabilistic Models Based Intrusion Detection Using Sequence Characteristics in Control System Communication. EANN 2014: 155-164 - [c37]Yasunori Isozaki, Shinya Yoshizawa
On detection of cyber attacks against voltage control in distribution power grids. SmartGridComm 2014: 842-847 - 2013
- [c36]Hiroshi Murata, Yasushi Shinohara, Takashi Onoda:
Selection of Sensors that Influence Trouble Condition Sign Discovery based on a One-class Support Kernel Machine for Hydroelectric Power Plants. IJCCI 2013: 466-473 - [c35]Takahiro Nishigaki, Takashi Onoda:
Constrained Clustering Based on Semantic Information. TAAI 2013: 268-273 - 2012
- [c34]Takahiro Nishigaki, Takashi Onoda:
Clustering Based on Independent Component. Web Intelligence/IAT Workshops 2012: 74-78 - [c33]Takashi Onoda, Mai Kiuchi:
Analysis of Intrusion Detection in Control System Communication Based on Outlier Detection with One-Class Classifiers. ICONIP (5) 2012: 275-282 - [c32]Takahiro Nishigaki, Takashi Onoda:
Independence based clustering. SCIS&ISIS 2012: 386-390 - 2011
- [c31]Takashi Onoda, Miho Sakai, Seiji Yamada:
Independent Component Analysis Based Seeding Method for K-Means Clustering. Web Intelligence/IAT Workshops 2011: 122-125 - 2010
- [c30]Takashi Onoda, Miho Sakai, Seiji Yamada:
Careful Seeding Based on Independent Component Analysis for k-Means Clustering. Web Intelligence/IAT Workshops 2010: 112-115 - 2009
- [c29]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Trouble condition sign discovery based on support vector machines for hydroelectric power plants. IJCNN 2009: 2358-2365 - 2008
- [c28]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Unusual condition monitoring based on support vector machines for hydroelectric power plants. IEEE Congress on Evolutionary Computation 2008: 2254-2261 - [c27]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Comparison of Performance for SVM Based Relevance Feedback Document Retrieval in Several Vector Space Models. Web Intelligence/IAT Workshops 2008: 169-172 - [c26]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. ICONIP (2) 2008: 663-670 - [c25]Norihiko Ito, Takashi Onoda, Hironobu Yamasaki:
Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. PAKDD Workshops 2008: 181-192 - 2007
- [c24]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Comparison of Learning Performance and Retrieval Performance for Support Vector Machines Based Relevance Feedback Document Retrieval. Web Intelligence/IAT Workshops 2007: 249-252 - [c23]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. IJCNN 2007: 857-862 - 2006
- [c22]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval. IAT Workshops 2006: 389-392 - [c21]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
One Class Classification Methods Based Non-Relevance Feedback Document Retrieval. IAT Workshops 2006: 393-396 - [c20]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. ICARCV 2006: 1-6 - [c19]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. ICDM Workshops 2006: 694-698 - [c18]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. IJCNN 2006: 1212-1219 - [c17]Takashi Onoda, Norihiko Ito, Kenji Shimizu:
Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management. JSAI 2006: 317-331 - 2005
- [c16]Hiroshi Murata, Takashi Onoda, Seiji Yamada:
Non-Relevance Feedback for Document Retrieval. Artificial Intelligence and Applications 2005: 84-89 - [c15]Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato:
Comparison of Pattern Classification Methods in System for Crossarm Reuse Judgement on the Basis of Rust Images. Artificial Intelligence and Applications 2005: 439-444 - [c14]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
An One Class Classification Approach to Non-relevance Feedback Document Retrieval. FSKD (2) 2005: 1216-1225 - [c13]Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato:
Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine. ICTAI 2005: 402-406 - 2004
- [c12]Fujio Tsutsumi, Norihiko Itoh, Takashi Onoda:
Distortion-Based Visualization for Long-Term Continuous Acoustic Monitoring. INFOVIS 2004 - [c11]Hiroshi Murata, Takashi Onoda, Seiji Yamada:
Document Retrieval Using Feedback of Non-relevant Documents. JSAI Workshops 2004: 205-215 - 2003
- [c10]Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Relevance Feedback Document Retrieval Using Support Vector Machines. Active Mining 2003: 59-73 - 2001
- [c9]Hiroshi Murata, Takashi Onoda:
Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. ICANN 2001: 692-698 - 2000
- [c8]Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller:
Barrier Boosting. COLT 2000: 170-179 - [c7]Gunnar Rätsch
Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344 - 1999
- [c6]Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika:
v-Arc: Ensemble Learning in the Presence of Outliers. NIPS 1999: 561-567 - 1998
- [c5]Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller:
An Improvement of AdaBoost to Avoid Overfitting. ICONIP 1998: 506-509 - [c4]Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller:
Regularizing AdaBoost. NIPS 1998: 564-570 - 1997
- [c3]Takashi Onoda, Yasushi Shinohara:
Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks. ICONIP (1) 1997: 287-290 - 1996
- [c2]Takashi Onoda:
Experimental analysis of generalization capability based on information criteria. ICNN 1996: 114-119 - 1995
- [c1]Takashi Onoda:
Neural network information criterion for the optimal number of hidden units. ICNN 1995: 275-280
Editorship
- 2009
- [e1]Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, ISBN 978-3-642-00398-1 [contents]
Coauthor Index
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