五十嵐 康彦(イガラシ ヤスヒコ)

研究者情報全体を表示

論文

• Efficient Syntheses of 2D Materials from Soft Layered Composites Guided by Yield Prediction Model: Potential of Experiment-Oriented Materials Informatics
  Noda Kyohei; Igarashi Yasuhiko; Imai Hiroaki; Oaki Yuya
  ADVANCED THEORY AND SIMULATIONS/3(7), 2020-07
• スパース・モデリングを用いた広域X線吸収微細構造の解析
  赤井 一郎; 岩満 一功; 五十嵐 康彦; 岡田 真人; 瀬戸山 寛之; 岡島 敏浩
  日本結晶学会誌/62(1)/pp.2-9, 2020-02
• Normal mode analysis of a relaxation process with Bayesian inference
  Sakata Itsushi; Nagano Yoshihiro; Igarashi Yasuhiko; Mura...
  Science and Technology of Advanced Materials/21(1)/pp.67-78, 2020-02
• Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
  Ishikawa Atsushi; Sodeyama Keitaro; Igarashi Yasuhiko; ...
  Physical Chemistry Chemical Physics/21(48)/pp.26399-26405, 2019-11
• Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
  Ishikawa Atsushi; Sodeyama Keitaro; Igarashi Yasuhiko; Na...
  Physical Chemistry Chemical Physics/21(48)/pp.26399-26405, 2019-11
• Experiment-Oriented Materials Informatics for Efficient Exploration of Design Strategy and New Compounds for High-Performance Organic Anode
  Numazawa Hiromichi; Igarashi Yasuhiko; Sato Kosuke; Imai ...
  Advanced Theory and Simulations/2(10)/pp.1900130-1-1900130-10, 2019-10
• Material search for Li-ion battery electrolytes through an exhaustive search with a Gaussian process
  Nakayama Tomofumi; Igarashi Yasuhiko; Sodeyama Keitaro; O...
  Chemical Physics Letters/731/pp.136622-1-136622-7, 2019-09
• A nonlinear parametric model based on a power law relationship for predicting the coastal tsunami height
  Yoshikawa Masashi; Igarashi Yasuhiko; Shin Murata; Baba T...
  Marine Geophysical Research/40/pp.467-477, 2019-06
• A longitudinal study of infant view-invariant face processing during the first 3–8 months of life
  Ichikawa Hiroko; Nakato Emi; Igarashi Yasuhiko; Okada ...
  Neuroimage/186/pp.817-825, 2019-02
• Materials‐Informatics‐Assisted High‐Yield Synthesis of 2D Nanomaterials through Exfoliation
  Nakada Gentoku; Igarashi Yasuhiko; Imai Hiroaki; Oaki ...
  ADVANCED Theory and Simulations/2(4)/p.1800180, 2019-01
• Spectral deconvolution through Bayesian LARS-OLS
  Mototake Yoh-ichi; Igarashi Yasuhiko; Takenaka Hikaru; ...
  Journal of the Physical Society of Japan/87(11)/p.114004, 2018-11
• Robust One-dimensional Phase Unwrapping using a Markov Random Field Model
  Nakashima Yasuhisa; Igarashi Yasuhiko; Naruse Yasushi; ...
  Journal of The Physical Society of Japan/87(8)/p.084801, 2018-08
• Sparse Modeling of an Extended X-Ray Absorption Fine-Structure Spectrum Based on a Single-Scattering Formalism
  Akai Ichiro; Iwamitsu Kazunori; Igarashi Yasuhiko; Oka...
  Journal of The Physical Society of Japan/87(7)/p.074003, 2018-07
• Liquid electrolyte informatics using an exhaustive search with linear regression
  Sodeyama Keitaro; Igarashi Yasuhiko; Nakayama Tomofumi...
  Physical Chemistry Chemical Physics/20(35)/pp.22585-22591, 2018-06
• ES-DoS: Exhaustive search and density-of-states estimation as a general framework for sparse variable selection
  Igarashi Yasuhiko; Ichikawa Hiroko; Nakanishi-Ohno Yos...
  Journal of Physics: Conference Series/1036/p.012001, 2018-06
• Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search
  YOKOYAMA Tatsuya; SUEYOSHI Takamitsu; MIYOSHI Yuya; HI...
  Plasma and Fusion Research/13/p.3405021, 2018-04
• Exhaustive search for sparse variable selection in linear regression
  Igarashi Yasuhiko
  Journal of The Physical Society of Japan/87(4)/p.044802, 2018-04
• Selection of Tsunami Observation Points Suitable for Database-Driven Prediction
  Taniguchi Junichi; Tagawa Kyohei; Yoshikawa Masashi; I...
  Journal of Disaster Research/13(245), 2018-03
• Maximum tsunami height prediction using pressure gauge data by a Gaussian process at Owase in the Kii Peninsula, Japan
  五十嵐 康彦; Takane Hori; Shin Murata; Kenichiro Sato; Tos...
  Marine Geophysical Research/37/pp.361-370, 2016-12
• Three levels of data-driven science
  Igarashi Yasuhiko
  Journal of Physics: Conference Series/699(1), 2016-03
• Estimation of the reaction times in tasks of varying difficulty from the phase coherence of the auditory steady-state response using the least absolute shrinkage and selection operator analysis
  Yokota Yusuke; Igarashi Yasuhiko; Okada Masato; Naruse...
  2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)/pp.6662-6666, 2015-08
• Recurrent network for multisensory integration-identification of common sources of audiovisual stimuli
  Yamashita Itsuki; Katahira Kentaro; Igarashi Yasuhiko; ...
  Frontiers in Computational Neuroscience/7(101), 2013-07
• Inter-layer correlation in a feed-forward network with intra-layer common noise
  Karakida Ryo; Igarashi Yasuhiko; Nagata Kenji; Okada ...
  Journal of the Physical Society of Japan/82(6)/p.064007, 2013-05
• Stability analysis of stochastic neural network with depression and facilitation synapses
  Yuichi Katori; 五十嵐 康彦; Masato Okada; Kazuyuki Aihara
  Journal of The Physical Society of Japan/81(11)/p.114007, 2012-10
• Theory of correlation in a network with synaptic depression
  Igarashi Yasuhiko; Oizumi Masafumi; Okada Masato
  Physical Review E/85(1)/p.016108, 2012-01
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