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J-GLOBAL ID：200901054791789681   Update date: Sep. 22, 2024

Nagao Tomoharu

ナガオ トモハル | Nagao Tomoharu
Affiliation and department：
Yokohama National University Institute for Multidisciplinary Sciences

About Yokohama National University Institute for Multidisciplinary Sciences


Job title： Specially Appointed Professor
Homepage URL  (1)： http://nagao-lab.ynu.ac.jp/
Research field  (4)： Intelligent robotics ,  Sensitivity (kansei) informatics ,  Perceptual information processing ,  Intelligent informatics
Research theme for competitive and other funds  (8)：
  • 2016 - Artificial intelligence in the maritime field
  • 2016 - Optimization of robot control
  • 2013 - Kansei information processing
  • 2007 - image processing
  • generalized evolutionary computation
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Papers (143)：
  • Kobayashi Masayuki, Shirakawa Shinichi, Nagao Tomoharu. Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART). 2022. 3. 381-387
  • Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao. Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021). 2021. 2375-2380
  • Masayuki Kobayashi, Satoshi Arai, Tomoharu Nagao. Evolutionary Generative Contribution Mappings. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2020. 2020-. 1657-1664
  • Masayuki Kobayashi, Tomoharu Nagao. An evolution-based approach for efficient differentiable architecture search. GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. 2020. 131-132
  • Masayuki Kobayashi, Tomoharu Nagao. A Multi-objective architecture search for generative adversarial networks. GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. 2020. 133-134
ｍore...
MISC (106)：
  • 長尾智晴. AIが企業を変える~第4回 人工神経回路網~. つながり. 2020. 34. 春
  • 長尾智晴. ブラックボックス問題とは何か. TODAY. 2020. 119. 14-17
  • 長尾智晴. AIが企業を変える~第3回 第3世代AI~. つながり. 2020. 33. 冬
  • 長尾智晴. AIブラックボックス問題と「説明できるAI」. 車載テクノロジー. 2019. 7. 10. 49-55
  • 長尾智晴. AIが企業を変える~第2回 第1世代AIと第2世代AI~. つながり. 2019. 32. 秋
ｍore...
Books (9)：
  • よくわかる最新画像処理アルゴリズムの基本と仕組み
    秀和システム 2012 ISBN:9784798035178
  • 進化技術ハンドブック 第III巻応用編
    近代科学社 2012
  • C言語による画像処理プログラミング入門
    昭晃堂 2011 ISBN:9784785631796
  • 進化技術ハンドブック 第II巻応用編
    近代科学社 2011
  • 金融工学事典
    朝倉書店 2004
ｍore...
Education (1)：
  • - 1985 Tokyo Institute of Technology Graduate School, Division of Integrated Science and Engineering Department of Information Processing
Professional career (2)：
  • Doctor of Engineering (Tokyo Institute of Technology)
  • Master of Engineering (Tokyo Institute of Technology)
Work history (12)：
  • 2021/04/01 - 現在 Yokohama National University Interfaculty Graduate School of Innovative and Practical Studies Professor
  • 2018/04/01 - 現在 Yokohama National University Graduate School of Environment and Information Sciences Department of Information Environment Professor
  • 2011/04/01 - 現在 Yokohama National University College of Engineering Science Department of Mathematics, Physics, Electrical Engineering and Computer Science Professor
  • 2001/04/01 - 現在 Yokohama National University Faculty of Environment and Information Sciences Division of Social Environment and Information Professor
  • 2001/04/01 - 現在 Yokohama National University Graduate School of Environment and Information Sciences Department of Information Media and Environment Sciences Professor
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Association Membership(s) (1)：
進化計算学会
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