Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Takashi Onoda
2010 – today
- 2013
[j3]Hiroshi Murata, Takashi Onoda, Seiji Yamada: Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval. JACIII 17(2): 149-156 (2013)- 2012
- [c30]Takahiro Nishigaki, Takashi Onoda: Clustering Based on Independent Component. Web Intelligence/IAT Workshops 2012: 74-78
- [c29]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
- 2011
- [c28]Takashi Onoda, Miho Sakai, Seiji Yamada: Independent Component Analysis Based Seeding Method for K-Means Clustering. Web Intelligence/IAT Workshops 2011: 122-125
- 2010
- [c27]Takashi Onoda, Miho Sakai, Seiji Yamada: Careful Seeding Based on Independent Component Analysis for k-Means Clustering. Web Intelligence/IAT Workshops 2010: 112-115
2000 – 2009
- 2009
- [c26]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Trouble condition sign discovery based on support vector machines for hydroelectric power plants. IJCNN 2009: 2358-2365
- [e1]Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi (Eds.): 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
- 2008
- [c25]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
- [c24]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
- [c23]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. ICONIP (2) 2008: 663-670
- [c22]Norihiko Ito, Takashi Onoda, Hironobu Yamasaki: Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. PAKDD Workshops 2008: 181-192
- 2007
- [j2]Takashi Onoda, Hiroshi Murata, Seiji Yamada: SVM-based Interactive Document Retrieval with Active Learning. New Generation Comput. 26(1): 49-61 (2007)
- [c21]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
- [c20]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
- [c19]Takashi Onoda, Hiroshi Murata, Seiji Yamada: Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval. IAT Workshops 2006: 389-392
- [c18]Takashi Onoda, Hiroshi Murata, Seiji Yamada: One Class Classification Methods Based Non-Relevance Feedback Document Retrieval. IAT Workshops 2006: 393-396
- [c17]Takashi Onoda, Hiroshi Murata, Seiji Yamada: Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. ICARCV 2006: 1-6
- [c16]Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. ICDM Workshops 2006: 694-698
- [c15]Takashi Onoda, Hiroshi Murata, Seiji Yamada: Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. IJCNN 2006: 1212-1219
- [c14]Takashi Onoda, Norihiko Ito, Kenji Shimizu: Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management. JSAI 2006: 317-331
- 2005
- [c13]Hiroshi Murata, Takashi Onoda, Seiji Yamada: Non-Relevance Feedback for Document Retrieval. Artificial Intelligence and Applications 2005: 84-89
- [c12]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
- [c11]Takashi Onoda, Hiroshi Murata, Seiji Yamada: An One Class Classification Approach to Non-relevance Feedback Document Retrieval. FSKD (2) 2005: 1216-1225
- [c10]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
- [c9]Fujio Tsutsumi, Norihiko Itoh, Takashi Onoda: Distortion-Based Visualization for Long-Term Continuous Acoustic Monitoring. INFOVIS 2004
- [c8]Hiroshi Murata, Takashi Onoda, Seiji Yamada: Document Retrieval Using Feedback of Non-relevant Documents. JSAI Workshops 2004: 205-215
- 2003
- [c7]Takashi Onoda, Hiroshi Murata, Seiji Yamada: Relevance Feedback Document Retrieval Using Support Vector Machines. Active Mining 2003: 59-73
- 2001
- [j1]Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Soft Margins for AdaBoost. Machine Learning 42(3): 287-320 (2001)
- [c6]Hiroshi Murata, Takashi Onoda: Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. ICANN 2001: 692-698
- 2000
- [c5]Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller: Barrier Boosting. COLT 2000: 170-179
- [c4]Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller: Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344
1990 – 1999
- 1999
- [c3]Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika: v-Arc: Ensemble Learning in the Presence of Outliers. NIPS 1999: 561-567
- 1998
- [c2]Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: An Improvement of AdaBoost to Avoid Overfitting. ICONIP 1998: 506-509
- [c1]
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-19 21:59 CEST by the dblp team