Achievements

Papers, Conferences, Awards and Supports

Refereed academic journal

  1. Y. Itoh, S. Uenohara, M. Adachi, T. Morie, and K. Aihara, Reconstructing bifurcation diagrams only from time-series data generated by electronic circuits in discrete-time dynamical systems, chaos, vol.30, 013128, 2020. (Featured Article)
  2. Y. Itoh and M. Adachi, “Tracking bifurcation curves in the Henon map from only time-series datasets,” Nonlinear Theory and Its Applications, IEICE, vol.2, no.3, pp.1101–1111, 2019.
  3. Y. Itoh and M. Adachi, “Bifurcation diagrams in estimated parameter space using a pruned extreme learning machine,” Physical Review E, vol.98, pp.013301-1–12, 2018.
  4. Y. Itoh and M. Adachi, “A Quantitative Method for Evaluating Reconstructed One-Dimensional Bifurcation Diagrams,” Journal of Computers, vol.13, no.3, pp.271–278, 2018.
  5. Y. Itoh, Y. Tada and M. Adachi, “Reconstructing bifurcation diagrams with Lyapunov exponents from only time-series data using an extreme learning machine,” Nonlinear Theory and Its Applications, IEICE, vol.8, no.1, pp.2–14, 2017.

International Conference (Oral, Refereed)

  1. Y. Itoh and M. Adachi, “Reconstructing Bifurcation Diagrams of a Chaotic Neuron Model Using an Extremely Learning Machine,” The 9th International Conference on Extreme Learning Machines, Singapore, Nov. 2018.
  2. Y. Itoh and M. Adachi, “Reconstructing Bifurcation Diagrams of the Duffing Equations,” 2018 International Symposium on Nonlinear Theory and its Applications, pp.243–246, Tarragona, Spain, Sep. 2018.
  3. Y. Itoh and M. Adachi, “Reconstruction of Bifurcation Diagrams using Time-series Data Generated by Electronic Circuits of the Rossler Equations,” 2017 International Symposium on Nonlinear Theory and its Applications, pp.439–442, Cancun, Mexico, Dec. 2017.
  4. Y. Itoh and M. Adachi, “Reconstructing Bifurcation Diagrams of Induction Motor Drives using an Extreme Learning Machine,” The 8th International Conference on Extreme Learning Machines, 8 pages, Yantai, Chine, Oct. 2017.
  5. Y. Itoh and M. Adachi, “Reconstruction of Bifurcation Diagrams Using an Extreme Learning Machine with a Pruning Algorithm,” 2017 International Joint Conference on Neural Networks, pp.1809–1816, Anchorage, USA, May 2017.
  6. Y. Itoh and M. Adachi, “A Quantitative Method for Evaluating Reconstructed One-dimensional Bifurcation Diagrams,” 2016 International Conference on Artificial Intelligence, A15, 7 pages, Limerick, Ireland, Dec. 2016.
  7. Y. Itoh, Y. Tada and M. Adachi, “Reconstruction of Bifurcation Diagrams with Lyapunov Exponents for Chaotic Systems from only Time-series Data,” 2015 International Symposium on Nonlinear Theory and its Applications, pp.692–695, Hong Kong, Dec. 2015.
  8. Y. Itoh and M. Adachi, “Reconstruction of Bifurcation Diagrams from Time Series Data Using Echo-State Networks,” 2011 3rd International Conference on Machine Learning and Computing, pp.V1-174–178, Singapore, Feb. 2011.

International Conference (Poster, Refereed)

  1. Y. Itoh and M. Adachi, “Chaotic time series prediction by combing echo-state networks and radial basis function networks,” 2010 IEEE International Workshop on Machine Learning for Signal Processing, pp.238–243, Kittila, Finland, Aug. 2010.

Japanese Conference

  1. 川原颯真, 中谷隆帆, 平田紘大, 伊藤佳卓, 須子統太, 村口正和, ランダム不純物下での電子ダイナミクスのニューラルネットワークによるモデル化, 第55回応用物理学会北海道支部/第16回日本光学会北海道支部合同学術講演会, 2020年.
  2. 伊藤佳卓, 時系列データのみからの時間変化する外部入力の推定, 2019年度(第8回)道内4高専・道総研工業試験場・北海道科学大学との研究交流会, 札幌市, 2019年.
  3. 伊藤佳卓, 外部入力が変化する系から生成された時系列信号からの外部入力の変化推定, 令和元年度 電気・情報関係学会北海道支部連合大会講演論文集, p.127, 室蘭市, 2019年.
  4. 伊藤佳卓,安達雅春, エクストリーム学習器を用いたカオスニューロンの分岐図再構成, 電子情報通信学会 技術研究報告, 117巻272号, pp.53–58, 仙台市, 2017年.
  5. 伊藤佳卓,安達雅春, エクストリーム学習器を用いた三次元分岐図の再構成, 電子情報通信学会ソサイエティ大会, N-1-18, p.179, 東京, 2017年.
  6. 伊藤佳卓,安達雅春, 再構成した二次元分岐図のリアプノフ指数推定, 電子情報通信学会 技術研究報告, 117巻121号, pp.99-102, 宮古島市, 2017年.
  7. 伊藤佳卓,安達雅春, エコーステートネットワークと動径基底関数ネットワークの組合せによるカオス時系列予測, 電子情報通信学会 技術研究報告, 109巻269号, pp.27-30, 屋久島, 2009年.

Awards and Supports

  1. Young Researchers' Presentation Award of 2019 Joint Convention, the Hokkaido Chapters of the Institutes of Electrical and Information Engineers.
  2. Japan Student Services Organization, 2019.
  3. The NEC C&C Foundation, 2018.
  4. NOLTA2018 Student Paper Award
  5. Finalists of NOLTA2017 Best Student Paper Award
  6. The Murata Science Foundation, 2017.
  7. Tateisi Science and Technology Foundation, 2017.
  8. The Telecommunications Advancement Foundation, 2017
  9. Japan Student Services Organization, 2011.