Rchr
J-GLOBAL ID：201101023160638849   Update date: Aug. 25, 2024

Kanemura Atsunori

Kanemura Atsunori
Affiliation and department：
Mirai Hoshu K.K.

About Mirai Hoshu K.K.


Job title： Representative Director
Other affiliations (3)：
  • National Institute of Advanced Industrial Science and Technology  Invited Senior Scientist
  • Advanced Telecommunications Research Institute International  Visiting Scientist
  • New Energy and Industrial Technology Development Organization (NEDO)  Technical Advisor
Research field  (3)： Soft computing ,  Biomedical engineering ,  Intelligent informatics
Research theme for competitive and other funds  (11)：
  • 2017 - 2019 Deep representation learning for drugs and proteins with neural networks
  • 2016 - 2019 Statistical Security of Machine Learning
  • 2016 - 2019 Building Real-World Information Access Platform via Real-World Sensing
  • 2015 - 2018 Information transfer BMI by extracting common features among many users and situations
  • 2014 - 2018 Development of machine learning algorithms based on discrete convex analysis
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Papers (59)：
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MISC (41)：
  • 武藤由依, 中曽拓, 相澤拓海, 篠崎基矢, 北田孝仁, 中島峻, DELBECQ Matthieu R., 米田淳, 武田健太, 野入亮人, et al. Visual explanations of the machine learning model to recognize the charge states in quantum dots. 日本物理学会講演概要集(CD-ROM). 2023. 78. 1
  • 武藤由依, 中曽拓, 相澤拓海, 篠崎基矢, 北田孝仁, 中島峻, DELBECQ Matthieu R., 米田淳, 武田健太, 野入亮人, et al. Improving generalization ability of automatic charge-state estimation in quantum dots by machine learning. 日本物理学会講演概要集(CD-ROM). 2023. 78. 2
  • 武藤由依, 中曽拓, 相澤拓海, 篠崎基矢, 北田孝仁, 中島峻, DELBECQ Matthieu R., 米田淳, 武田健太, 野入亮人, et al. Noise-robust charge state recognition in quantum dots using machine learning and preprocessing. 日本物理学会講演概要集(CD-ROM). 2022. 77. 1
  • Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto, Atsunori Kanemura. MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection. 2021
  • 中曽拓, 篠崎基矢, 相澤拓海, 北田孝仁, 武藤由依, 中島峻, DELBECQ Matthieu R., 米田淳, 武田健太, 野入亮人, et al. Charge state estimation of quantum dots by machine learning. 日本物理学会講演概要集(CD-ROM). 2020. 75. 2
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Patents (7)：
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Books (2)：
  • 6ステップでマスターする機械学習: Pythonによる丁寧な実践ハンズオン
    共立出版 2022 ISBN:4320124944
  • Elements of Statistical Learning
    2014 ISBN:9784320123625
Lectures and oral presentations  (2)：
  • Tutorial: Deep learning implementations and frameworks
    (AAAI Conference on Artificial Intelligence (AAAI) 2017)
  • Tutorial: Deep learning implementations and frameworks
    (Pacific Asia Knowledge Discovery and Data Mining Conference (PAKDD) 2016)
Education (4)：
  • - 2009 Kyoto University Graduate School of Informatics Ph.D.
  • - 2006 Nara Institute of Science and Technology Graduate School of Information Science M.Eng.
  • - 2004 Gifu University Faculty of Engineering
  • - 2001 Seki High School
Professional career (1)：
  • Ph.D. in Informatics (Kyoto University)
Work history (13)：
  • 2023/02 - 現在 New Energy and Industrial Technology Development Organization (NEDO) Technical Advisor
  • 2022 - 現在 Mirai Hoshu K.K. Representative Director
  • 2018/07 - 現在 National Institute of Advanced Industrial Science and Technology (AIST) Artificial Intelligence Research Center Invited Senior Scientist
  • 2015/05 - 現在 Advanced Telecommunications Research Institute International (ATR) Brain Information Communication Research Laboratory Group Visiting Scientist
  • 2021/03 - 2023/03 Cabinet Office, Government of Japan Strategic Innovation Promotion Program (SIP) Sub Program Director (SPD)
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Awards (5)：
  • 2017 - NeurIPS Workshop on Machine Learning for Molecules and Materials Best Paper Award
  • 2015 - AEARU-CSWT Best Poster Award
  • 2015 - IEEE TrustCom Best Paper Award
  • 2013 - Advanced Telecommunications Research Institute International (ATR) Best Research Award
  • 2010 - Japanese Neural Network Sciety Best Paper Award
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