Rchr
J-GLOBAL ID:200901093984462189   Update date: Jul. 04, 2021

Kobayashi Ryota

コバヤシ リョウタ | Kobayashi Ryota
Affiliation and department:
Job title: Associate Professor
Homepage URL  (2): http://www.hk.k.u-tokyo.ac.jp/r-koba/index.htmlhttp://www.hk.k.u-tokyo.ac.jp/r-koba/en/index.html
Research field  (1): Soft computing
Research keywords  (5): Machine learning ,  データマイニング ,  Data mining ,  計算論的神経科学 ,  Computational Neuroscience
Papers (30):
  • Daisuke Endo, Ryota Kobayashi, Ramon Bartolo, Bruno B. Averbeck, Yasuko Sugase-Miyamoto, Kazuko Hayashi, Kenji Kawano, Barry J. Richmond, Shigeru Shinomoto. A convolutional neural network for estimating synaptic connectivity from spike trains. Scientific Reports. 2021. 11. 1
  • Kobayashi R, Gildersleve P, Uno T, Lambiotte R. Modeling Collective Anticipation and Response on Wikipedia. Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). 2021. 315-326
  • Taichi Murayama, Shoko Wakamiya, Eiji Aramaki, Ryota Kobayashi. Modeling the spread of fake news on Twitter. PLOS ONE. 2021. 16. 4. e0250419-e0250419
  • David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz. Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Science. 2020. 9. 1
  • Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno. Analyzing temporal patterns of topic diversity using graph clustering. The Journal of Supercomputing. 2020
more...
MISC (5):
  • Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto. Synthetic spike data generated by a network of 1,000 Hodgkin-Huxley type neurons. figshare. 2019
  • Ryota Kobayashi, Mutsumi Kimura, Youichiro Miyake, Ryutaro Ichise R. Editors' Introduction to "Materials informatics". Journal of Japanese Society for Artificial Intelligence. 2019. 34. 3. 324-324
  • Kobayashi Ryota, Hiroshi Okamoto, Hiroshi Yamakawa. Editors' Introduction to "Physics and AI". Journal of Japanese Society for Artificial Intelligence. 2018. 33. 4
  • Ryota Kobayashi, Hiroshi Yamakawa. Brain Simulation. Journal of Japanese Society for Artificial Intelligence. 2015. 30. 5. 605-606
  • Ryota Kobayashi. A Survey of Results on Large-Scale Brain Simulation. Journal of Japanese Society for Artificial Intelligence. 2015. 30. 5. 647-651
Books (3):
  • 数理・データサイエンス・AI教材:応用基礎レベル教材
    2021
  • AI事典 第3版 (編集: 中島秀之, 浅田稔, 橋田浩一, 松原仁, 山川宏, 栗原聡, 松尾豊)
    近代科学社 2019
  • 人工知能の見る夢は
    2017
Lectures and oral presentations  (123):
  • CoNNECT: Convolutional Neural Network for Estimating synaptic Connectivity from parallel spike trains
    (The 44th Annual Meeting of the Japan Neuroscience Society/The 1st CJK International Meeting 2021)
  • Modeling the Spread of Fake News on Twitter
    (International Conference on Computational Social Science (IC2S2 2021) 2021)
  • Estimating Community Feedback Effect on Topic Choice in Social Media
    (International Conference on Computational Social Science (IC2S2 2021) 2021)
  • Bias in the estimation of coupling strength between oscillators
    (Neural coding 2021 2021)
  • Estimating synaptic connectivity from parallel spike trains
    (Neural Coding 2021 2021)
more...
Education (2):
  • - 2009 京都大学大学院 物理学 • 宇宙物理学専攻
  • - 2006 京都大学大学院 物理学 • 宇宙物理学専攻
Professional career (1):
  • Ph.D (Kyoto University)
Work history (3):
  • 2020/04 - 現在 Graduate School of Frontier Sciences, The University of Tokyo
  • 2013/04 - 2020/03 National institute of Informatics
  • 2009/04 - 2013/03 Ritsumeikan University Department of Human and Computer Intelligence, College of Information Science and Engineering
Committee career (15):
  • 2021/04 - 現在 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Multidisciplinary Track, Programme Committee
  • 2020/08 - 現在 Frontiers in Big Data (Data Mining and Management) Review editor
  • 2013/12 - 現在 Frontiers in Computational Neuroscience Review editor
  • 2021/04 - 2023/03 The Japanese Society for Artificial Intelligence Representative
  • 2020/07 - 2021/07 Neural coding 2021 Programme Committee
Show all
Awards (5):
  • 2020/10 - SocInfo 2020 Best Reviewer Award
  • 2017 - 電子情報通信学会 CCS研究会 奨励賞
  • 2010 - 船井情報科学振興財団 船井研究奨励賞
  • 2009 - INCF Prize
  • 2008 - EPFL-Brain Mind Institute Neuron Modeling Award
Association Membership(s) (7):
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  日本物理学会 ,  日本神経回路学会 ,  日本神経科学学会 ,  The Physical Society of Japan ,  Japanese Neural Network Society ,  The Japan Neuroscience Society
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