Neural network information criterion for the optimal number of hidden units. - Takashi Onoda (ICNN, 1995)

Experimental analysis of generalization capability based on information criteria. - Takashi Onoda (ICNN, 1996)

Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks. - Takashi Onoda; Yasushi Shinohara (ICONIP (1), 1997)

An Improvement of AdaBoost to Avoid Overfitting. - Gunnar Rätsch; Takashi Onoda; Klaus-Robert Müller (ICONIP, 1998)

Regularizing AdaBoost. - Gunnar Rätsch; Takashi Onoda; Klaus-Robert Müller (NIPS, 1998)

v-Arc: Ensemble Learning in the Presence of Outliers. - Gunnar Rätsch; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller; Takashi Onoda; Sebastian Mika (NIPS, 1999)

Barrier Boosting. - Gunnar Rätsch; Manfred K. Warmuth; Sebastian Mika; Takashi Onoda; Steven Lemm; Klaus-Robert Müller (COLT, 2000)

Robust Ensemble Learning for Data Mining. - Gunnar Rätsch; Bernhard Schölkopf; Alexander J. Smola; Sebastian Mika; Takashi Onoda; Klaus-Robert Müller (PAKDD, 2000)

Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. - Hiroshi Murata; Takashi Onoda (ICANN, 2001)

Soft Margins for AdaBoost. - Gunnar Rätsch; Takashi Onoda; Klaus-Robert Müller (Mach. Learn., 2001)

Relevance Feedback Document Retrieval Using Support Vector Machines. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (Active Mining, 2003)

Relevance feedback with active learning for document retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (IJCNN, 2003)

Distortion-Based Visualization for Long-Term Continuous Acoustic Monitoring. - Fujio Tsutsumi; Norihiko Itoh; Takashi Onoda (INFOVIS, 2004)

Document Retrieval Using Feedback of Non-relevant Documents. - Hiroshi Murata; Takashi Onoda; Seiji Yamada (JSAI Workshops, 2004)

Non-Relevance Feedback for Document Retrieval. - Hiroshi Murata; Takashi Onoda; Seiji Yamada (Artificial Intelligence and Applications, 2005)

Comparison of Pattern Classification Methods in System for Crossarm Reuse Judgement on the Basis of Rust Images. - Michiko Yamana; Hiroshi Murata; Takashi Onoda; Tohru Ohashi; Seiji Kato (Artificial Intelligence and Applications, 2005)

An One Class Classification Approach to Non-relevance Feedback Document Retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (FSKD (2), 2005)

Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine. - Michiko Yamana; Hiroshi Murata; Takashi Onoda; Tohru Ohashi; Seiji Kato (ICTAI, 2005)

One class support vector machine based non-relevance feedback document retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (IJCNN, 2005)

Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (IAT Workshops, 2006)

One Class Classification Methods Based Non-Relevance Feedback Document Retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (IAT Workshops, 2006)

Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (ICARCV, 2006)

Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. - Takashi Onoda; Norihiko Ito; Hironobu Yamasaki (ICDM Workshops, 2006)

Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (IJCNN, 2006)

Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management. - Takashi Onoda; Norihiko Ito; Kenji Shimizu (JSAI, 2006)

Comparison of Learning Performance and Retrieval Performance for Support Vector Machines Based Relevance Feedback Document Retrieval. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (Web Intelligence/IAT Workshops, 2007)

One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. - Takashi Onoda; Norihiko Ito; Hironobu Yamasaki (IJCNN, 2007)

SVM-based Interactive Document Retrieval with Active Learning. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (New Gener. Comput., 2007)

Unusual condition monitoring based on support vector machines for hydroelectric power plants. - Takashi Onoda; Norihiko Ito; Hironobu Yamasaki (IEEE Congress on Evolutionary Computation, 2008)

Comparison of Performance for SVM Based Relevance Feedback Document Retrieval in Several Vector Space Models. - Takashi Onoda; Hiroshi Murata; Seiji Yamada (Web Intelligence/IAT Workshops, 2008)

Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. - Takashi Onoda; Norihiko Ito; Hironobu Yamasaki (ICONIP (2), 2008)

Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. - Norihiko Ito; Takashi Onoda; Hironobu Yamasaki (PAKDD Workshops, 2008)

Trouble condition sign discovery based on support vector machines for hydroelectric power plants. - Takashi Onoda; Norihiko Ito; Hironobu Yamasaki (IJCNN, 2009)

Careful Seeding Based on Independent Component Analysis for k-Means Clustering. - Takashi Onoda; Miho Sakai; Seiji Yamada (Web Intelligence/IAT Workshops, 2010)

Independent Component Analysis Based Seeding Method for K-Means Clustering. - Takashi Onoda; Miho Sakai; Seiji Yamada (Web Intelligence/IAT Workshops, 2011)

Clustering Based on Independent Component. - Takahiro Nishigaki; Takashi Onoda (Web Intelligence/IAT Workshops, 2012)

Analysis of Intrusion Detection in Control System Communication Based on Outlier Detection with One-Class Classifiers. - Takashi Onoda; Mai Kiuchi (ICONIP (5), 2012)

Independence based clustering. - Takahiro Nishigaki; Takashi Onoda (SCIS&ISIS, 2012)

Selection of Sensors that Influence Trouble Condition Sign Discovery based on a One-class Support Kernel Machine for Hydroelectric Power Plants. - Hiroshi Murata; Yasushi Shinohara; Takashi Onoda (IJCCI, 2013)

Constrained Clustering Based on Semantic Information. - Takahiro Nishigaki; Takashi Onoda (TAAI, 2013)

Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval. - Hiroshi Murata; Takashi Onoda; Seiji Yamada (J. Adv. Comput. Intell. Intell. Informatics, 2013)

On detection of cyber attacks against voltage control in distribution power grids. - Yasunori Isozaki; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (SmartGridComm, 2014)

Interactive Independent Topic Analysis for Service. - Takahiro Nishigaki; Katsumi Nitta; Takashi Onoda (ICDM Workshops, 2016)

Probabilistic models-based intrusion detection using sequence characteristics in control system communication. - Takashi Onoda (Neural Comput. Appl., 2016)

Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs. - Yasunori Isozaki; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (IEEE Trans. Smart Grid, 2016)

An Interactive Independent Topic Analysis for a Mass Document Review Service. - Takahiro Nishigaki; Katsumi Nitta; Takashi Onoda (Rev. Socionetwork Strateg., 2018)

Enhancing Security for Voltage Control of Distribution Systems Under Data Falsification Attacks. - Mizuki Onogawa; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (ACC, 2019)

Industry-Academia Research Collaborations in the Post-corona Era: A Case Study of Remote Operations in a Japanese State-of-the-Art Research Facility. - Takashi Onoda; Yasunobu Ito (AHFE (8), 2021)

SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers. - Seigo Haruta; Ken-ichi Tokoro; Takashi Onoda (ICPRAM, 2023)

Outlier Detection Method for Equipment Onboard Merchant Vessels. - Iori Oki; Seiji Yamada; Takashi Onoda (ICPRAM, 2023)

Identification of Ground Fault Causes in Distribution Lines for Large-Scale Power Customers Using Machine Learning. - Ryoma Matsubara; Takashi Onoda (IEEM, 2023)

Group Importance Estimation Method Based on Group LASSO Regression. - Yuki Mori; Seiji Yamada; Takashi Onoda (ICPRAM, 2024)

Estimating Saving Electricity Potential for Peak Electricity Demand Reduction. - Shunsuke Mitsuhashi; Shunichi Hattori; Takashi Ito; Takashi Onoda (IEEM, 2024)

Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings. - Riku Yasutomi; Seiji Yamada; Takashi Onoda (ICAART (3), 2025)