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Affiliation Department |
Department of Computer Science
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Title |
Professor |
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Homepage |
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External Link |
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TAKEUCHI Ichiro
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Research Areas
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Informatics / Life, health and medical informatics
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Informatics / Intelligent informatics
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Informatics / Statistical science
From School
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Nagoya University Faculty of Engineering Department of Electric Engineering Graduated
- 1996.03
Country：Japan
From Graduate School
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Nagoya University Electric Engineering Doctor's Course Completed
- 2000.03
Country：Japan
External Career
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RIKEN Center for Advanced Integrated Intelligence Research Data-Driven Biomedical Science Team, Team Leader
2016.09
Country：Japan
Professional Memberships
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The Institute of Electrical and Electronics Engineers
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Japan Statistical Society
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The Institute of Electronics, Information and Communication Engineers
Papers
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Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming Reviewed
Duy N.L.V., Toda H., Sugiyama R., Takeuchi I.
Proceedings of 34th Conference on Neural Information Processing Systems (NeurIPS2020) 2020
Language：English Publishing type：Research paper (international conference proceedings)
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Adaptive Bayesian optimization for epitaxial growth of Si thin films under various constraints Reviewed
Osada K., Kutsukake K., Yamamoto J., Yamashita S., Kodera T., Nagai Y., Horikawa T. Matsui K. Takeuchi I., Ujihara T.
Materials Today Communication 2020
Language：English Publishing type：Research paper (scientific journal)
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Active learning for level set estimation under input uncertainty and its extensions Reviewed
Inatsu Y., Karasuyama M., Inoue K., Takeuchi I.
Neural Computation 2020
Language：English Publishing type：Research paper (scientific journal)
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Bayesian-optimization-guided Experimental Search of NASICON-type Solid Electrolytes for All-solid-state Li-ion Batteries Reviewed
Maho Harada,Hayami Takeda, Shinya Suzuki, Koki Nakano, Naoto Tanibata, Masanobu Nakayama, Masayuki Karasuyama, Ichiro Takeuchi.
Journal of Materials Chemistry A 2020
Language：English Publishing type：Research paper (scientific journal)
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Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization Reviewed
Takeno S., Fukuoka H., Tsukada Y., Koyama T., Shiga M., Takeuchi I., Karasuyama M.
Proceedings of International Conference on Machine Learning (ICML2020) 2020
Language：English Publishing type：Research paper (international conference proceedings)
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Active Learning of Bayesian Linear Models with High Dimensional Binary Features by Parameter Confidence-Region Estimation Reviewed
Inatsu Y., Karasuyama M., Inoue K., Kandori H., Takeuchi I.
Neural Computation 2020
Language：English Publishing type：Research paper (scientific journal)
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A Novel Sensitive Detection Method for DNA Methylation in Circulating Free DNA of Pancreatic Cancer Reviewed
Shinjo K., Hara K., Nagae G., Umeda T., Katsushima K., Suzuki M., Murofushi Y., Umezu Y., Takeuchi I., Takahashi S., Okuno Y., Matsuo K., Ito H., Tajima S., Aburatani H., Yamao K., Kondo Y.
Plos One 2020
Language：English Publishing type：Research paper (scientific journal)
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Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. Reviewed
Inatsu Y., Sugita D., Toyoura K., Takeuchi I.
Neural Computation 2020
Language：English Publishing type：Research paper (scientific journal)
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A Sampling Strategy in Efficient Potential Energy Surface Mapping for Predicting Atomic Diffusivity in Crystals by Machine Learning. Reviewed
Toyoura K., Fujii T., Kanamori K., Takeuchi I.
Physical Review B 2020
Language：English Publishing type：Research paper (scientific journal)
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Stat-DSM: Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. Reviewed
Duy N.L.V., Sakuma T., Ishiyama T., Toda H., Arai K., Karasuyama M., Okubo Y., Sunaga M., Hanada H., Tabei Y., Takeuchi I.
IEEE Transactions on Knowledge and Data Engineering 2020
Language：English Publishing type：Research paper (scientific journal)
Books and Other Publications
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機械学習のための連続最適化
金森敬文、鈴木大慈, 竹内 一郎 , 佐藤 一誠 （ Role： Joint author）
講談社サイエンティフィック 2016
Language：jpn Book type：Scholarly book
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サポートベクトルマシン
竹内一郎，烏山昌幸（ Role： Joint author）
講談社サイエンティフィク 2015.08
Language：jpn Book type：Scholarly book
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統計的機械学習の基礎
杉山将, 井手剛, 神嶌敏弘, 栗田多喜夫, 前田英作監訳, 井尻善久, 井手剛, 岩田具治, 金森敬文, 兼村厚範, 烏山昌幸, 河原吉伸, 木村昭悟, 小西嘉典, 酒井智弥, 鈴木大慈, 竹内一郎, 玉木徹, 出口大輔, 冨岡亮太, 波部斉, 前田新一, 持橋大地, 山田誠（ Role： Joint translator）
共立出版 2014.06
Language：jpn Book type：Scholarly book
Misc
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高次交互作用モデリングのための機械学習アルゴリズム Invited
竹内一郎，中川和也，津田宏治
2017
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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Parametric programming for machine learning algorithms
I. Takeuchi
23 517 - 536 2013.09
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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Statistical Methods For DNA Microarray Data
Ichiro Takeuchi
Chemical Engineering 76 ( 12 ) 2012.12
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (international conference proceedings) Publisher：The Society for Chemical Engineers, Japan
Scientific Research Funds Acquisition Results
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ビッグデータ駆動型科学のための仮説生成・検証法開発と材料，生物，医療分野での実証
2017.04 - 2021.03
科学研究費補助金 基盤研究(A)
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ナビゲーション研究のための統計的データ分析基盤整備とヒト移動データ分析
2016.06 - 2021.03
科学研究費補助金 新学術領域研究
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データ科学に基づくポテンシャルエネルギー関数の効率的推定とプロトン伝導体への応用
2016.04 - 2018.03
科学研究費補助金 新学術領域研究
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ビッグデータ解析における最適保障スクリーニングの理論と応用
2014.04 - 2017.03
科学研究費補助金 基盤研究(B)
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統計的機械学習と第一原理計算に基づくプロトン伝導体の効率的探索
2014.04 - 2016.03
科学研究費補助金 新学術領域研究
Other External Funds
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新たなバイオテクノロジーを用いて得られた食品の安全性確保とリスクコミュニケーションのための研究
2018.04 - 2021.03
厚生労働省 厚生労働科学研究費補助金
Grant type：Competitive
Past of Commissioned Research
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CREST研究（離散構造統計学の創出と癌科学への展開）（研究代表者：津田宏治，主たる共同研究者：竹内一郎他）
2015.10 - 2021.03
科学技術振興機構 General Consignment Study
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CREST研究（自己情報コントロール機構を持つプライバシ保護データ収集・解析基盤の構築と個別化医療・ゲノム疫学への展開（研究代表者：佐久間淳，主たる共同研究者：竹内一郎他）
2013.10 - 2019.03
科学技術振興機構 General Consignment Study