Rchr
J-GLOBAL ID:201801020113533551   Update date: Nov. 11, 2024

Kuremoto Takashi

クレモト タカシ | Kuremoto Takashi
Affiliation and department:
Other affiliations (6):
  • School of Computer Science, University of Manchester  Academic Visitor
  • National Institute of Technology, Ube College  Lecture
  • 財団法人国際学友会日本語学校  外国人就学生
  • 宇部高等工業専門学校  非常勤講師
  • The University of Tokyo  Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies 
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Homepage URL  (1): http://www.nn.csse.yamaguchi-u.ac.jp/home/wu/
Research field  (5): Soft computing ,  Perceptual information processing ,  Sensitivity (kansei) informatics ,  Biological, health, and medical informatics ,  Intelligent informatics
Research keywords  (1): Artificial Intelligence, Intelligent System, Softcomputing, Fuzzy, Machine Learning, Artificial Neural Networks, Deep Learning, Chaos
Research theme for competitive and other funds  (17):
  • 2022 - 2026 An Approach to Guqin Music Recognition and Composition by Machine Learning
  • 2022 - 2025 全身CT画像と診断レポートを複合した機械学習による大規模医療データセットの構築
  • 2020 - 2023 機械学習を用いた東アジア数理調和思想の実証的研究と共生倫理の検討
  • 2020 - 2023 Mechanisms of experience-rependent memory formation in the hippocampus
  • 2019 - 2022 Learning-promoted synaptic diversity and a possible encording rule of CA1 pyramidal neurons
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Papers (217):
  • Takashi KUREMOTO, Yuya MORI, Shingo MABU. Facial Expression Recognition by Deep Learning Models using Multiple Datasets. The transactions of the Institute of Electrical Engineers of Japan. C. 2025. 145. 2
  • Haotian LI, Takashi KUREMOTO, Junko ISHIKAWA, Shingo MABU, Dai MITSUSHIMA. Differences between the Left Brain and Right Hemispheres in the Processing of Episodic Memory - A Case Study in the Rat Hippocampus. Proceedings of 17th International Neuroscience and Biological Psychiatry Regional Conference Asia. 2024. 1-4
  • Takashi Kuremoto, Kazuma Fujino, Hirokazu Takahashi, Shun Kuremoto, Mamiko Koshiba, Hiroo Hieda, Shingo Mabu. Restoration of Guqin Music by Deep Learning Methods. Proceedings of the 2024 International Conference on Artificial Life and Robotics. 2024. 320-324
  • Bowen Yang, Shun Kuremoto, Mamiko Koshiba, Shingo Mabu, Hiroo Hieda, Takashi Kuremoto. A Guqin Notation Recognition System using Machine Learning Methods. International Journal of Engineering Innovation and Management. 2023. 13. 2. 16-21
  • Takashi Kuremoto, Lei Chen, Ming Lei. YOLOv5 works well for Facial Expression Recognition. The 11th International Conference on Innovative Application Research and Education (ICIARE2023). 2023. 1-4
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MISC (34):
  • Haotian LI, Takashi KUREMOTO, Junko ISHIKAWA, Shingo MABU, Dai MITSUSHIMA. An Investigation of Recognition Method for Activity Pattern of Hippocampus with Deep Learning Models. 2024
  • Takashi Kuremoto, Koki Kimura. Manga Creation by Generative AI. 2024. A-10-04
  • 李 浩田, 呉本 尭, 石川 淳子, 間普 真吾, 美津島 大. 左右の海馬発火活動の相違に関する調査. 2024年電子情報通信学会ソサイエティ大会論文集. 2024. A-8-04
  • 李 浩田, 呉本 尭, 石川 淳子, 間普 真吾, 美津島 大. 深層学習による海馬発火活動の解析. 2024年電気学会電子・情報・システム部門大会論文集. 2024. TC11-2-5
  • 呉本 尭, 稲元 勉, 渡邊 駿. 次世代人工知能社会の実現を指向した機械学習技術調査報告. 20204年電気学会電子・情報・システム部門大会論文集. 2024. TC10-4
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Books (17):
  • Research Advances in Data Mining Techniques and Applications
    IntechOpen 2023 ISBN:9781837690794
  • Deep neural evolution : deep learning with evolutionary computation
    Springer 2020 ISBN:9789811536847
  • Deep Learning in Healthcare, Paradigms and Applications
    Springer Nature 2019
  • Time Series Forecasting
    InTech 2019
  • Human-Robot Interaction -Theory and Application
    InTech 2018 ISBN:9781789233179
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Lectures and oral presentations  (46):
  • 大脳辺縁系モデルの構築
    (第21回自律分散システムシンポジウム資料 2009)
  • 追加学習機能を持つ音声命令学習システム
    (第21回自律分散システムシンポジウム資料 2009)
  • 階差時系列を用いたニューラルネットワークによる時系列予測
    (第21回自律分散システムシンポジウム資料 2009)
  • 不完全観測環境下におけるスライディングモード制御の概念を利用した強化学習システム
    (第17回計測自動制御学会中国支部学術講演会論文集 2008)
  • アントコロニー最適化法におけるランダム選択率設定方法
    (第17回計測自動制御学会中国支部学術講演会論文集 2008)
more...
Education (5):
  • 1996 - 1997 Yamaguchi University Graduate School of Science and Engineering Division of System Engineering
  • 1994 - 1996 Yamaguchi University Graduate School of Engineering Division of Information Science and Engineering, Master (Engineering)
  • 1993 - 1994 Yamaguchi University Faculty of Engineering Department of Information Science and Engineering, research student
  • 1992 - 1993 財団法人国際学友会東京日本語学校(現:独立行政法人JASSO東京日本語教育センター) 日本語普通コース, 日本語能力試験1級合格
  • 1982 - 1986 Shanghai Institute of Mechanical and Engineering (Now: University of Shanghai for Science and Technology Faculty of System Engineering Department of System Science and Engineering, Bachelor (Engineering)
Professional career (3):
  • Doctor (Engineering) (Yamaguchi University)
  • Master (Engineering) (Yamaguchi University)
  • Bachelor of Engineering
Work history (9):
  • 2021/04 - 現在 Nippon Institute of Technology Faculty of Advanced Engineering Department of Information Technology and Media Design Professor
  • 2009/04 - 2021/03 Yamaguchi University Graduate School of Science and Technology for Innovation Assistant Professor
  • 2015/10/01 - 2016/03/31 National Institute of Technology, Ube College Lecture
  • 2007/04/01 - 2009/03/31 YAMAGUCHI UNIVERSITY Graduate School of Science and Engineering(Engineering) Assistant Professor
  • 2008/06/11 - 2008/07/30 School of Computer Science, University of Manchester Academic Visitor
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Committee career (7):
  • 2024/04 - 現在 電気学会システム技術委員会, AI技術の実際性の向上を指向した機械学習技術調査専門委員会 委員
  • 2022/04 - 2024/03 電気学会システム技術委員会 次世代人工知能社会の実現を指向した機械学習技術調査専門委員会, 委員長
  • 2020/01 - 2021/12 電気学会システム技術委員会 先端システムの超知能化を指向した機械学習技術応用協同研究委員会委員
  • 2018/01 - 2019/12 電気学会システム技術委員会 エージェントとの共創的な相互作用のモデル化に向けた機械学習技術協同研究委員会委員
  • 2016/01 - 2017/12 電気学会システム技術委員会 機械学習協同研究委員会委員
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Awards (14):
  • 2023/12 - The 11th International Conference on Innovative Application Research and Education (ICIARE2023) The Best Paper Award YOLOv5 works well for Facial Expression Recognition
  • 2022/12 - Consortium for Innovative Research & Education of Asia Excellent Paper Award To estimate the lunar calendar using a CNN-based ensemble method
  • 2020/12 - The 8th International Conference on Innovative Application Research and Education (ICIARE2020) The Best Paper Award A Study on the Fine-Tuning of Deep Belief Net for Time Series Forecasting
  • 2019/11 - The 3rd International Conference on Big Data Research The Best Presentation Award An Improved Fuzzy Neural Network for Reinforcement Learning
  • 2019/01 - International Workshop on Advanced Image Technology, International Forum on Medical Imaging in Asia The Best Paper Award Analysis of the Effects of Transfer Learning on Opacity Classification of Diffuse Lung Diseases Using Convolutional Neural Network
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Association Membership(s) (6):
電気学会(IEEJ) ,  The Society of Instrument and Control Engineers ,  The Institute of Electrical and Electronics Engineers (IEEE) ,  電子情報通信学会(IEICE) ,  International Institute of Forecasters ,  IEEE Computational Intelligence Society,University Curricula Sub-Committee 委員
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