Affiliation
Graduate School of Life Science and Systems Engineering Department of Human Intelligence Systems
Job
Assistant Professor
External link
ISHIBASHI Hideaki
Scopus Paper Info
Total Paper Count: 0 Total Citation Count: 0 h-index: 4
Degree
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Kyushu Institute of Technology - Doctor of Information Engineering 2018.03
Biography in Kyutech
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2019.04
Kyushu Institute of Technology Graduate School of Life Science and Systems Engineering Department of Human Intelligence Systems Assistant Professor
Papers
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Principal Component Analysis for Gaussian Process Posteriors Reviewed International journal
Ishibashi H., Akaho S.
Neural Computation 34 ( 5 ) 1189 - 1219 2022.04
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Stopping criterion for active learning based on deterministic generalization bounds Reviewed International journal
Ishibashi H., Hino H.
Proceedings of Machine Learning Research 108 386 - 397 2020.01
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ATNAS: Automatic Termination for Neural Architecture Search Reviewed International journal
Sakamoto K., Ishibashi H., Sato R., Shirakawa S., Akimoto Y., Hino H.
Neural Networks 166 446 - 458 2023.09
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A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets Reviewed International journal
Ishibashi H., Karasuyama M., Takeuchi I., Hino H.
Proceedings of Machine Learning Research 206 6463 - 6497 2023.01
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End-condition for solution small angle X-ray scattering measurements by kernel density estimation Reviewed International journal
Hiroshi Sekiguchi, Noboru Ohta, Hideaki Ishibashi, Hideitsu Hino, Masaichiro Mizumaki
Science and Technology of Advanced Materials: Methods 2022.12
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Multi-task manifold learning for small sample size datasets Reviewed
Ishibashi H., Higa K., Furukawa T.
Neurocomputing 473 138 - 157 2022.02
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Automated stopping of spectral measurements with active learning Reviewed
UENO Tetsuro, ISHIBASHI Hideaki, HINO Hideitsu, ONO Kanta
Proceedings of the Annual Conference of JSAI ( The Japanese Society for Artificial Intelligence ) JSAI2022 ( 0 ) 3Yin208 - 3Yin208 2022.01
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Stopping criterion for Neural Architecture Search Reviewed
SAKAMOTO Kotaro Sakamoto, ISHIBASHI Hideaki, SATO Rei, SHIRAKAWA Shinichi, AKIMOTO Yohei, HINO Hideitsu
Proceedings of the Annual Conference of JSAI ( The Japanese Society for Artificial Intelligence ) JSAI2022 ( 0 ) 3J4OS3b01 - 3J4OS3b01 2022.01
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Low-rank kernel decomposition for scalable manifold modeling Reviewed International journal
Miyazaki K., Takano S., Tsuno R., Ishibashi H., Furukawa T.
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 2022.01
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Automated stopping criterion for spectral measurements with active learning Reviewed
Ueno T., Ishibashi H., Hino H., Ono K.
npj Computational Materials 7 ( 1 ) 2021.12
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Visual analytics of set data for knowledge discovery and member selection support Reviewed
Watanabe R., Ishibashi H., Furukawa T.
Decision Support Systems 152 2021.01
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Multi-task learning for Self-Organizing Maps Reviewed
Kazushi Higa, Hideaki Ishibashi, Tetsuo Furukawa
Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and19th International Symposium on Advanced Intelligent Systemsin conjunction with Intelligent Systems Workshop 2018 2018.12
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Non-parametriccontinuous Self-Organizing Map Reviewed
Ryuji Watanabe, Hideaki Ishibashi, Tohru Iwasaki, Tetsuo Furukawa
Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and19th International Symposium on Advanced Intelligent Systemsin conjunction with Intelligent Systems Workshop 2018 2018.12
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Multi-task manifold learning using hierarchical modeling for insufficient samples Reviewed International journal
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
Lecture Notes in Computer Science 11303 388 - 398 2018.11
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Visualization method of viewpoints latent in a dataset Reviewed International journal
Hideaki Ishibashi
Lecture Notes in Computer Science 11303 638 - 647 2018.11
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Hierarchical tensor SOM network for multilevel multigroup analysis Reviewed
Hideaki Ishibashi, Tetsuo Furukawa)
Proceedings of Neural Processing Letters 47 ( 3 ) 1011 - 1025 2018.06
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Hierarchical Tensor Manifold Modeling for Multi-Group Analysis Reviewed
ISHIBASHI Hideaki, ERA Masayoshi, FURUKAWA Tetsuo
101 ( 11 ) 1745 - 1755 2018.01
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Multilevel-Multigroup Analysis Discovering Member Correspondence between Groups Reviewed
Hideaki Ishibashi, Masayoshi Era, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa
Proceedings of 2017 International Workshop on Smart Info-Media Systems in Asia 2017.09
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Self-Organizing Maps for Multi-system and Multi-view Datasets Reviewed International journal
Ishibashi H., Furukawa T.
Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 343 - 348 2016.12
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Multilevel-Multigroup analysis using a hierarchical tensor SOM network Reviewed International journal
Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa
Lecture Notes in Computer Science 9949 459 - 466 2016.10
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Rating-scale questionnaire survey analysis using SOM-based nonlinear tensor decomposition Reviewed
Hideaki Ishibashi, Tohru Iwasaki, Yohsuke Date, Tetsuo Furukawa
Proceedings of Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems2016 912 - 915 2016.08
Lectures
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能動学習の停止基準
第42回IBISML研究会オーガナイズドセッション 2021.03
Citation count denotes the number of citations in papers published for a particular year.