ホーム > 平田 祥人/ Hirata, Yoshito

平田 祥人

Hirata, Yoshito

システム情報系 , 准教授
Faculty of Engineering,Information and Systems

https://sites.google.com/view/yoshitohirata/home

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically Yoshito Hirata; Masanori Shiro
      Chaos: An Interdisciplinary Journal of Nonlinear Science 33: (2023) Semantic Scholar
  2. 2. Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts Yoshito Hirata; Arisa H. Oda; Chie Motono; Masanori ShiroKunihiro Ohta
      Scientific Reports 12: (2022) Semantic Scholar
  3. 3. A pseudo-basis using a recurrence plot Masanori Shiro; Yoshito Hirata
      The European Physical Journal Special Topics (2022) Semantic Scholar
  4. 4. Improving time series prediction accuracy for the maxima of a flow by reconstructions using local cross sections Yoshito Hirata; Masanori Shiro
      Chaos: An Interdisciplinary Journal of Nonlinear Science 32: 063103 - 063103 (2022) Semantic Scholar
  5. 5. Fast reconstruction of an original continuous series from a recurrence plot Yoshito Hirata; Yuki Kitanishi; Hiroki Sugishita; Yukiko Gotoh
      Chaos: An Interdisciplinary Journal of Nonlinear Science 31: 121101 - 121101 (2021) Semantic Scholar
  6. 6. Forecasting wind power ramps with prediction coordinates Yoshito Hirata; José M. Amigó; Shunsuke Horai; Kazuhiko OgimotoKazuyuki Aihara
      Chaos: An Interdisciplinary Journal of Nonlinear Science 31: 103105 - 103105 (2021) Semantic Scholar
  7. 7. Changes of chromosomal architecture before establishment of chromosome territories revealed by recurrence plot reconstruction Yuki Kitanishi; Hiroki Sugishita; Yukiko Gotoh; Yoshito Hirata
      bioRxiv (2021) Semantic Scholar
  8. 8. Recurrence plots for characterizing random dynamical systems Yoshito Hirata
      Communications in Nonlinear Science and Numerical Simulation 94: 105552 - 105552 (2021) Semantic Scholar
  9. 9. Deep Learning for Nonlinear Time Series: Examples for Inferring Slow Driving Forces Yoshito Hirata; Kazuyuki Aihara
      International Journal of Bifurcation and Chaos 30: (2020) Semantic Scholar
  10. 10. Forecasting high-dimensional dynamics exploiting suboptimal embeddings Shunya Okuno; Kazuyuki Aihara; Yoshito Hirata
      Scientific Reports 10: (2020) Semantic Scholar
  11. 11. Topological epidemic model: Theoretical insight into underlying networks Yoshito Hirata
      Chaos: An Interdisciplinary Journal of Nonlinear Science (2020) Semantic Scholar
  12. 12. Permutations uniquely identify states and unknown external forces in non-autonomous dynamical systems Yoshito Hirata; Yuzuru Sato; Davide Faranda
      Chaos: An Interdisciplinary Journal of Nonlinear Science 30: (2020) Semantic Scholar
  13. 13. Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons Huu Hoang; Chris De Zeeuw; Eric J. Lang; Yoshito Hirata (+4 著者) Nicolas Schweighofer
      PLOS Computational Biology 16: (2020) Semantic Scholar
  14. 14. A mobile ELF4 delivers circadian temperature information from shoots to roots Wei Wei Chen; Nozomu Takahashi; Yoshito Hirata; James Ronald (+4 著者) Paloma Mas
      Nature Plants 6: 416 - 426 (2020) Semantic Scholar
  15. 15. Two efficient calculations of edit distance between marked point processes Yoshito Hirata; Noriyoshi Sukegawa
      Chaos: An Interdisciplinary Journal of Nonlinear Science (2019) Semantic Scholar
  16. 16. Detecting nonlinear stochastic systems using two independent hypothesis tests Yoshito Hirata; Masanori Shiro
      Physical Review E 100: (2019) Semantic Scholar
  17. 17. Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length Yoshito Hirata; Masanori Shiro; José M. Amigó
      Entropy 21: (2019) Semantic Scholar
  18. 18. Combining multiple forecasts for multivariate time series via state-dependent weighting Shunya Okuno; Kazuyuki Aihara; Yoshito Hirata
      Chaos: An Interdisciplinary Journal of Nonlinear Science (2019) Semantic Scholar
  19. 19. Practically scheduling hormone therapy for prostate cancer using a mathematical model Nakanishi, A.; Hirata, Y.
      Journal of Theoretical Biology 478: (2019) Semantic Scholar
  20. 20. Personalizing Androgen Suppression for Prostate Cancer Using Mathematical Modeling Yoshito Hirata; Kai Morino; Koichiro Akakura; Celestia S. HiganoKazuyuki Aihara
      Scientific Reports 8: (2018) Semantic Scholar
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