Takashi Onoda

	2009
27		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 Springer 2009
	2008
26		Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. ICONIP (2) 2008: 663-670
25		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
24		Norihiko Ito, Takashi Onoda, Hironobu Yamasaki: Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. PAKDD Workshops 2008: 181-192
23		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
	2007
22		Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. IJCNN 2007: 857-862
21		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
20		Takashi Onoda, Hiroshi Murata, Seiji Yamada: SVM-based Interactive Document Retrieval with Active Learning. New Generation Comput. 26(1): 49-61 (2007)
	2006
19		Takashi Onoda, Hiroshi Murata, Seiji Yamada: Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval. IAT Workshops 2006: 389-392
18		Takashi Onoda, Hiroshi Murata, Seiji Yamada: One Class Classification Methods Based Non-Relevance Feedback Document Retrieval. IAT Workshops 2006: 393-396
17		Takashi Onoda, Hiroshi Murata, Seiji Yamada: Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. ICARCV 2006: 1-6
16		Takashi Onoda, Norihiko Ito, Hironobu Yamasaki: Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. ICDM Workshops 2006: 694-698
15		Takashi Onoda, Hiroshi Murata, Seiji Yamada: Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. IJCNN 2006: 1212-1219
14		Takashi Onoda, Norihiko Ito, Kenji Shimizu: Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management. JSAI 2006: 317-331
	2005
13		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
12		Hiroshi Murata, Takashi Onoda, Seiji Yamada: Non-Relevance Feedback for Document Retrieval. Artificial Intelligence and Applications 2005: 84-89
11		Takashi Onoda, Hiroshi Murata, Seiji Yamada: An One Class Classification Approach to Non-relevance Feedback Document Retrieval. FSKD (2) 2005: 1216-1225
10		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
9		Fujio Tsutsumi, Norihiko Itoh, Takashi Onoda: Distortion-Based Visualization for Long-Term Continuous Acoustic Monitoring. INFOVIS 2004
	2003
8		Takashi Onoda, Hiroshi Murata, Seiji Yamada: Relevance Feedback Document Retrieval Using Support Vector Machines. Active Mining 2003: 59-73
	2001
7		Hiroshi Murata, Takashi Onoda: Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. ICANN 2001: 692-698
6		Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Soft Margins for AdaBoost. Machine Learning 42(3): 287-320 (2001)
	2000
5		Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller: Barrier Boosting. COLT 2000: 170-179
4		Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller: Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344
	1999
3		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
2		Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: An Improvement of AdaBoost to Avoid Overfitting. ICONIP 1998: 506-509
1		Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Regularizing AdaBoost. NIPS 1998: 564-570

Coauthor Index

1	Sanjay Chawla	[27]
2	Akihiro Inokuchi	[27]
3	Norihiko Ito	[14] [16] [22] [24] [25] [26]
4	Norihiko Itoh	[9]
5	Seiji Kato	[10] [13]
6	Steven Lemm	[5]
7	Sebastian Mika	[3] [4] [5]
8	Shin-ichi Minato	[27]
9	Klaus-Robert Müller	[1] [2] [3] [4] [5] [6]
10	Hiroshi Murata	[7] [8] [10] [11] [12] [13] [15] [17] [18] [19] [20] [21] [23]
11	Tohru Ohashi	[10] [13]
12	Gunnar Rätsch	[1] [2] [3] [4] [5] [6]
13	Bernhard Schölkopf	[3] [4]
14	Kenji Shimizu	[14]
15	Alexander J. Smola (Alex J. Smola)	[3] [4]
16	Shusaku Tsumoto	[27]
17	Fujio Tsutsumi	[9]
18	Manfred K. Warmuth	[5]
19	Takashi Washio	[27]
20	Seiji Yamada	[8] [11] [12] [15] [17] [18] [19] [20] [21] [23] [27]
21	Michiko Yamana	[10] [13]
22	Hironobu Yamasaki	[16] [22] [24] [25] [26]

Colors in the list of coauthors