Rchr
J-GLOBAL ID：201801020113533551
Update date: Mar. 21, 2024
Kuremoto Takashi
クレモト タカシ | Kuremoto Takashi
Affiliation and department：
Other affiliations (6)：
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School of Computer Science, University of Manchester
Academic Visitor
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National Institute of Technology, Ube College
Lecture
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財団法人国際学友会日本語学校
外国人就学生
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宇部高等工業専門学校
非常勤講師
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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
- 2019 - 2022 Building Medical Diagnosis Systems with Multiple Medical Examination Data Using Unsupervised and Semi-Supervised Learning
- 2014 - 2018 An Intelligent System with Multi-Modal Interface and Intelligence Development Functions and Its Applications
- 2017 - 2017 人工知能を実現してみよう
- 2013 - 2017 Development of a brain information processing imitation based autonomous behavior model with amygdala model
- 2014 - 2014 積木レゴで私のかしこいロボットを作ろう
- 2012 - 2013 An Adaptive Behavior Acquisition System and Its Simulation for Autonomous Mobile Robots in Unknow Environment
- 2011 - 2013 An Integrated System Mimicking Brain Information Processing with Learning Functions for Self and Others, and Its Application
- 2008 - 2010 A Reinforcement Learning System Mimicking Brain Information Processing
- 2008 - 2010 A Mathematical Model of the Olfactory System Considering Cooperation with Memory System of the Brain and Learning Theory and Its Application
- 2006 - 2008 A Study of Limbic System Model Fusing Emotion Evaluation and Dyna Association Memory and Its Application
- 2003 - 2005 ソフトコンピューティング手法を用いた動き検出視覚モデルに関する研究
- 2001 - 2003 An autonomous system with inner modeled associative memory
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Papers (212)：
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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
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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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Kuremoto T, Ishikawa J, Mabu S, Mitsushima D. Recognition of brain wave related to the episode memory by deep learning methods. IntechOpen. 2023. 2023. 1-20
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Yuto Ikenoue, Takashi Kuremoto, Shingo Mabu. Machine learning-based lunar calendar estimation using the lunar images. International Journal of Engineering Innovation and Management. 2023. 13. 1. 1-8
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Takashi KUREMOTO, Junko ISHIKAWA, Takaaki SASAKI, Shingo MABU, Dai MITSUSHIMA. Matching the ripple-wave to the episodic memory - a case study of rat. 16th International Neuroscience and Biological Psychiatry Regional (Asia) ISBS Conference “Stress and Behavior: YAMAGUCHI-online 2022; Stress Brain and Behavior, Vol.1, e022004, 2023. 2023. 1. 19-30
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MISC (28)：
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Takashi Kuremoto. Guqing Music Recognition by Machine Learning Methods. Impact. 2024. 2024. 1. 40-42
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akashi Kuremoto, Yuya Mori, Shingo Mabu. An Emotion Recognition System with Face Expression and Background Information. 2023. 7-11
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Takashi Kuremoto, Kazuma Fujino, Hirotaka Takahashi, Shun Kuremoto, Mamiko Kobayashi, Hiroo Hieda, Shingo Mabu. To Recognize to Guqin Music by Deep Learning Models. 2023. 269-272
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Takashi Kuremoto, Yuichi Kobayashi, Junko Ishikawa, Shingo Mabu, Dai Mitsushima. Deep Learning can Recognize Experience-Specific Ripple-Firings in Hippocampal CA1. 2023. 9-14
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Lunar calendar estimation using moon images by machine learning methods. The Papers of Joint Technical Meeting on "Systems" and "Control", IEE, Japan, ST-22-032, CT-22-095. 2022. 7-10
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Books (16)：
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Deep neural evolution : deep learning with evolutionary computation
Springer 2020 ISBN:9789811536847
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Deep Learning in Healthcare, Paradigms and Applications
Springer Nature 2019
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Time Series Forecasting
InTech 2019
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Human-Robot Interaction -Theory and Application
InTech 2018 ISBN:9781789233179
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情報工学実験及び演習I・IIテキスト
山口大学工学部知能情報工学科 2015 ISBN:9784902207033
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Lectures and oral presentations (46)：
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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)
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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)
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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)
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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)
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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)
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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
- 2006/04/01 - 2007/03/31 YAMAGUCHI UNIVERSITY Graduate School of Science and Engineering(Engineering) Research Associate
- 2005/04/01 - 2006/03/31 YAMAGUCHI UNIVERSITY Faculty of Engineering Research Associate
- 1997/04/01 - 2005/03/31 YAMAGUCHI UNIVERSITY Faculty of Engineering
- 1986/08/01 - 1992/03/20 中華人民共和国機械工業省北京機械工業自動化研究所 研究員
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Committee career (6)：
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
- 2016/12 - International Conference on Innovative Application of Research and Education 2016 The Best Paper Award Learning Embedding Function for Instance-based Reinforcement Learning with Matching Networks
- 2016/01/20 - 21th International Symposium on Artificial Life and Robotics Young Author Award Efficient Reinforcement Learning Using an Adaptive Control of Meta-parameters Based on a Markov Emotional Model
- 2015/10 - 第66回電気・情報関連学会中国支部連合大会 電子情報通信学会中国支部連合大会奨励賞 クラス相関ルールの剪定 とクラスタリングによる識別システムの改良とその性能評価
- 2015/10 - 第66回電気・情報関連学会中国支部連合大会 電気学会中国支部奨励賞 SOM とSVMを用いた未学習者のための階層型脳波識別システム
- 2015/09 - 2015 International Conference on Computer Application Technologies (2015 ICCAT) The Outstanding Paper Award Time Series Forecasting using DBN and ARIMA
- 2015/01/17 - International Conference on Artificial Life and Robotics (ICAROB 2015) The Best Paper Award Reinforcement Learning with Symbiotic Relationships for Multiagent Environments
- 2014/12/03 - The 2nd International Conference on Innovative Application Research and Education (ICIARE 2014) The Best Paper Award
- 1994/11/19 - 中華人民共和国国家科学技術委員会 中華人民共和国国家科学技術委員会表彰 863国家プロジェクトCIMS実験工程研究センター
- 1988/12/01 - 中華人民共和国機械工業部北京機械自動化研究所 中華人民共和国機械工業部北京機械自動化研究所科学研究技術成果二等賞 中国機械工業2000年振興発展目標ーー管理情報システム
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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
