| 2025 | ICAART | Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings. | Riku Yasutomi, Seiji Yamada, Takashi Onoda |
| 2024 | ICPRAM | Group Importance Estimation Method Based on Group LASSO Regression. | Yuki Mori, Seiji Yamada, Takashi Onoda |
| 2023 | ICPRAM | SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers. | Seigo Haruta, Ken-ichi Tokoro, Takashi Onoda |
| 2023 | ICPRAM | Outlier Detection Method for Equipment Onboard Merchant Vessels. | Iori Oki, Seiji Yamada, Takashi Onoda |
| 2016 | ICDM | Interactive Independent Topic Analysis for Service. | Takahiro Nishigaki, Katsumi Nitta, Takashi Onoda |
| 2014 | EANN | Probabilistic Models Based Intrusion Detection Using Sequence Characteristics in Control System Communication. | Takashi Onoda |
| 2013 | IJCCI | 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 |
| 2012 | ICONIP | Analysis of Intrusion Detection in Control System Communication Based on Outlier Detection with One-Class Classifiers. | Takashi Onoda, Mai Kiuchi |
| 2009 | IJCNN | Trouble condition sign discovery based on support vector machines for hydroelectric power plants. | Takashi Onoda, Norihiko Ito, Hironobu Yamasaki |
| 2008 | CEC | Unusual condition monitoring based on support vector machines for hydroelectric power plants. | Takashi Onoda, Norihiko Ito, Hironobu Yamasaki |
| 2008 | ICONIP | Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. | Takashi Onoda, Norihiko Ito, Hironobu Yamasaki |
| 2008 | PAKDD | Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. | Norihiko Ito, Takashi Onoda, Hironobu Yamasaki |
| 2007 | IJCNN | One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. | Takashi Onoda, Norihiko Ito, Hironobu Yamasaki |
| 2006 | ICARCV | Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. | Takashi Onoda, Hiroshi Murata, Seiji Yamada |
| 2006 | ICDM | Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. | Takashi Onoda, Norihiko Ito, Hironobu Yamasaki |
| 2006 | IJCNN | Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. | Takashi Onoda, Hiroshi Murata, Seiji Yamada |
| 2005 | IJCNN | One class support vector machine based non-relevance feedback document retrieval. | Takashi Onoda, Hiroshi Murata, Seiji Yamada |
| 2005 | ICTAI | 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 |
| 2004 | IJCNN | Relevance feedback document retrieval using support vector machines. | Takashi Onoda, Hiroshi Murata, Seiji Yamada |
| 2003 | IJCNN | Relevance feedback with active learning for document retrieval. | Takashi Onoda, Hiroshi Murata, Seiji Yamada |
| 2001 | ICANN | Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. | Hiroshi Murata, Takashi Onoda |
| 2000 | COLT | Barrier Boosting. | Gunnar Rtsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Mller |
| 2000 | PAKDD | Robust Ensemble Learning for Data Mining. | Gunnar Rtsch, Bernhard Schlkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Mller |
| 1998 | ICONIP | An Improvement of AdaBoost to Avoid Overfitting. | Gunnar Rtsch, Takashi Onoda, Klaus-Robert Mller |
| 1997 | ICONIP | Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks. | Takashi Onoda, Yasushi Shinohara |