Takashi Onoda - RankMe

57 papers A* 1B 10C 8Journal 6Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Examination of Document Clustering Based on Independent Topic Analysis and Word Embeddings. ICAART (3) Riku Yasutomi, Seiji Yamada, Takashi Onoda
2024	—	`conf`	Estimating Saving Electricity Potential for Peak Electricity Demand Reduction. IEEM Shunsuke Mitsuhashi, Shunichi Hattori, Takashi Ito, Takashi Onoda
2024	C	`conf`	Group Importance Estimation Method Based on Group LASSO Regression. ICPRAM Yuki Mori, Seiji Yamada, Takashi Onoda
2023	—	`conf`	Identification of Ground Fault Causes in Distribution Lines for Large-Scale Power Customers Using Machine Learning. IEEM Ryoma Matsubara, Takashi Onoda
2023	C	`conf`	Outlier Detection Method for Equipment Onboard Merchant Vessels. ICPRAM Iori Oki, Seiji Yamada, Takashi Onoda
2023	C	`conf`	SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers. ICPRAM Seigo Haruta, Ken-ichi Tokoro, Takashi Onoda
2021	—	`conf`	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) Takashi Onoda, Yasunobu Ito
2019	C	`conf`	Enhancing Security for Voltage Control of Distribution Systems Under Data Falsification Attacks. ACC Mizuki Onogawa, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi
2018	J	`jnl`	An Interactive Independent Topic Analysis for a Mass Document Review Service. Rev. Socionetwork Strateg. Takahiro Nishigaki, Katsumi Nitta, Takashi Onoda
2016	J	`jnl`	Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs. IEEE Trans. Smart Grid Yasunori Isozaki, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi
2016	—	`conf`	Interactive Independent Topic Analysis for Service. ICDM Workshops Takahiro Nishigaki, Katsumi Nitta, Takashi Onoda
2016	J	`jnl`	Probabilistic models-based intrusion detection using sequence characteristics in control system communication. Neural Comput. Appl. Takashi Onoda
2014	—	`conf`	On detection of cyber attacks against voltage control in distribution power grids. SmartGridComm Yasunori Isozaki, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi
2014	C	`conf`	Probabilistic Models Based Intrusion Detection Using Sequence Characteristics in Control System Communication. EANN Takashi Onoda
2013	J	`jnl`	Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval. J. Adv. Comput. Intell. Intell. Informatics Hiroshi Murata, Takashi Onoda, Seiji Yamada
2013	—	`conf`	Constrained Clustering Based on Semantic Information. TAAI Takahiro Nishigaki, Takashi Onoda
2013	C	`conf`	Selection of Sensors that Influence Trouble Condition Sign Discovery based on a One-class Support Kernel Machine for Hydroelectric Power Plants. IJCCI Hiroshi Murata, Yasushi Shinohara, Takashi Onoda
2012	—	`conf`	Analysis of Intrusion Detection in Control System Communication Based on Outlier Detection with One-Class Classifiers. ICONIP (5) Takashi Onoda, Mai Kiuchi
2012	—	`conf`	Clustering Based on Independent Component. Web Intelligence/IAT Workshops Takahiro Nishigaki, Takashi Onoda
2012	—	`conf`	Independence based clustering. SCIS&ISIS Takahiro Nishigaki, Takashi Onoda
2011	—	`conf`	Independent Component Analysis Based Seeding Method for K-Means Clustering. Web Intelligence/IAT Workshops Takashi Onoda, Miho Sakai, Seiji Yamada
2010	—	`conf`	Careful Seeding Based on Independent Component Analysis for k-Means Clustering. Web Intelligence/IAT Workshops Takashi Onoda, Miho Sakai, Seiji Yamada
2009	—	`ed.`	New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers PAKDD Workshops Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi
2009	B	`conf`	Trouble condition sign discovery based on support vector machines for hydroelectric power plants. IJCNN Takashi Onoda, Norihiko Ito, Hironobu Yamasaki
2008	—	`conf`	Comparison of Performance for SVM Based Relevance Feedback Document Retrieval in Several Vector Space Models. Web Intelligence/IAT Workshops Takashi Onoda, Hiroshi Murata, Seiji Yamada
2008	—	`conf`	Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants. PAKDD Workshops Norihiko Ito, Takashi Onoda, Hironobu Yamasaki
2008	—	`conf`	Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants. ICONIP (2) Takashi Onoda, Norihiko Ito, Hironobu Yamasaki
2008	B	`conf`	Unusual condition monitoring based on support vector machines for hydroelectric power plants. IEEE Congress on Evolutionary Computation Takashi Onoda, Norihiko Ito, Hironobu Yamasaki
2007	—	`conf`	Comparison of Learning Performance and Retrieval Performance for Support Vector Machines Based Relevance Feedback Document Retrieval. Web Intelligence/IAT Workshops Takashi Onoda, Hiroshi Murata, Seiji Yamada
2007	B	`conf`	One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. IJCNN Takashi Onoda, Norihiko Ito, Hironobu Yamasaki
2007	J	`jnl`	SVM-based Interactive Document Retrieval with Active Learning. New Gener. Comput. Takashi Onoda, Hiroshi Murata, Seiji Yamada
2006	C	`conf`	Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval. ICARCV Takashi Onoda, Hiroshi Murata, Seiji Yamada
2006	B	`conf`	Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. IJCNN Takashi Onoda, Hiroshi Murata, Seiji Yamada
2006	—	`conf`	One Class Classification Methods Based Non-Relevance Feedback Document Retrieval. IAT Workshops Takashi Onoda, Hiroshi Murata, Seiji Yamada
2006	—	`conf`	Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval. IAT Workshops Takashi Onoda, Hiroshi Murata, Seiji Yamada
2006	—	`conf`	Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management. JSAI Takashi Onoda, Norihiko Ito, Kenji Shimizu
2006	—	`conf`	Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. ICDM Workshops Takashi Onoda, Norihiko Ito, Hironobu Yamasaki
2005	—	`conf`	An One Class Classification Approach to Non-relevance Feedback Document Retrieval. FSKD (2) Takashi Onoda, Hiroshi Murata, Seiji Yamada
2005	—	`conf`	Comparison of Pattern Classification Methods in System for Crossarm Reuse Judgement on the Basis of Rust Images. Artificial Intelligence and Applications Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato
2005	B	`conf`	Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine. ICTAI Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato
2005	—	`conf`	Non-Relevance Feedback for Document Retrieval. Artificial Intelligence and Applications Hiroshi Murata, Takashi Onoda, Seiji Yamada
2005	B	`conf`	One class support vector machine based non-relevance feedback document retrieval. IJCNN Takashi Onoda, Hiroshi Murata, Seiji Yamada
2004	—	`conf`	Distortion-Based Visualization for Long-Term Continuous Acoustic Monitoring. INFOVIS Fujio Tsutsumi, Norihiko Itoh, Takashi Onoda
2004	—	`conf`	Document Retrieval Using Feedback of Non-relevant Documents. JSAI Workshops Hiroshi Murata, Takashi Onoda, Seiji Yamada
2004	B	`conf`	Relevance feedback document retrieval using support vector machines. IJCNN Takashi Onoda, Hiroshi Murata, Seiji Yamada
2003	—	`conf`	Relevance Feedback Document Retrieval Using Support Vector Machines. Active Mining Takashi Onoda, Hiroshi Murata, Seiji Yamada
2003	B	`conf`	Relevance feedback with active learning for document retrieval. IJCNN Takashi Onoda, Hiroshi Murata, Seiji Yamada
2001	C	`conf`	Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances. ICANN Hiroshi Murata, Takashi Onoda
2001	J	`jnl`	Soft Margins for AdaBoost. Mach. Learn. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
2000	A*	`conf`	Barrier Boosting. COLT Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
2000	B	`conf`	Robust Ensemble Learning for Data Mining. PAKDD Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller
1999	—	`conf`	v-Arc: Ensemble Learning in the Presence of Outliers. NIPS Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika
1998	B	`conf`	An Improvement of AdaBoost to Avoid Overfitting. ICONIP Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
1998	—	`conf`	Regularizing AdaBoost. NIPS Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
1997	—	`conf`	Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks. ICONIP (1) Takashi Onoda, Yasushi Shinohara
1996	—	`conf`	Experimental analysis of generalization capability based on information criteria. ICNN Takashi Onoda
1995	—	`conf`	Neural network information criterion for the optimal number of hidden units. ICNN Takashi Onoda