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Ishii, Shin

Graduate School of Informatics, Department of Systems Science Professor

Ishii, Shin
list
    Last Updated :2022/05/14

    Basic Information

    Faculty

    • 工学部 工学部 電気電子工学科

    Academic Degree

    • 修士(工学)(東京大学)
    • 博士(工学)(東京大学)

    Research History

    • From Aug. 2010, To Present
      Advanced Telecommunications Research Institute International, 室長
    • From Jul. 2007, To Present
      京都大学大学院, 情報学研究科, 教授
    • From Oct. 2008, To Mar. 2013
      理化学研究所, 次世代計算科学研究開発プログラム, チームリーダ
    • From Apr. 2001, To Mar. 2010
      Nara Institute of Science and Technology, Graduate School of Information Science, 教授
    • From Apr. 1997, To Mar. 2001
      Nara Institute of Science and Technology, Graduate School of Information Science, 助教授
    • From Apr. 1998, To Mar. 2000
      Advanced Telecommunications Research Institute International, 客員研究員 兼任
    • From Mar. 1988, To Mar. 1997
      (株)リコー中央研究所, 研究員
    • From Apr. 1994, To Sep. 1996
      Advanced Telecommunications Research Institute International, 研究員

    Profile

    • Profile

      1988年東京大学大学院工学系研究科修士課程修了。博士(工学)。(株)リコー中央研究所、ATR人間情報通信研究所、奈良先端科学技術大学院大学を経て、2007年より京都大学大学院情報学研究科(システム科学専攻)教授。専門は論理生命学、とりわけ、統計科学、機械学習、大規模計算など情報学的手法を用いて、脳神経系の情報処理や細胞動態に対するモデリングを行っている。

    Language of Instruction

    • English

    ID,URL

    researchmap URL

    list
      Last Updated :2022/05/14

      Research

      Research Topics, Overview of the research

      • Research Topics

        Statistical Machine Learning, Reinforcement Learning, Computational Neuroscience, AI-Brain Integration and Neuroinformatics

      Research Interests

      • オブジェクト指向データベース
      • 組合せ最適化
      • 線形ダイナミカルシステム
      • タンパク質
      • 統計解析
      • 半構造データ
      • シミュレーション
      • ロボット制御
      • タンパク質相互作用
      • 平均場近似
      • ベイジアンネットワーク
      • 量子情報
      • ロボット
      • Rhoファミリー低分子量Gタンパク質
      • プロモータ配列解析
      • カオス
      • 多値判別
      • 経路式
      • べイズ学習
      • 部分観測
      • 形態形成
      • NP完全
      • 視覚追従制御
      • 情報通信
      • 神経科学
      • 多変量解析
      • ゲノム
      • 多自由度ロボット
      • ネットワーク推定
      • 階層モデル推定
      • モデル同定
      • 分子生物学
      • マイクロアレイ
      • 情報統計力学
      • ニューラルネット
      • グラフィカルモデリング
      • ワーキングメモリ
      • 強化学習
      • 相関規則
      • 生命情報
      • 自己組織化写像
      • データマイニング
      • 二次割当て問題
      • 分子時空間計測
      • 転写制御因子
      • 非侵襲脳計測
      • 計算論的認知心理学
      • 緩和型ダイナミクス
      • 発生・分化
      • トランスクリプトーム解析
      • 細胞運動
      • 逐次モンテカルロ法
      • 推論問題
      • タンパク質ネットワーク
      • 時系列クラスタリング
      • 機械学習
      • ニューロインフォマティクス
      • 計算神経科学
      • 統計的学習
      • 軸索伸長
      • 遺伝子
      • バイオインフォマティクス
      • サンプリング
      • 神経成長
      • 機能的磁気共鳴図
      • EMアルゴリズム
      • 微生物
      • 型制約
      • 非平衡ダイナミクス
      • More is defferent
      • シグナル伝達
      • 統計力学
      • 仮説検定
      • 意思決定
      • システム同定
      • 前頭前野
      • システム生物学
      • ベイズ推定
      • 包括脳ネットワーク

      Research Areas

      • Informatics, Biological, health, and medical informatics
      • Informatics, Intelligent informatics

      Papers

      • Cellular-resolution gene expression profiling in the neonatal marmoset brain reveals dynamic species- and region-specific differences
        Yoshiaki Kita; Hirozumi Nishibe; Yan Wang; Tsutomu Hashikawa; Satomi S. Kikuchi; Mami U; Aya C. Yoshida; Chihiro Yoshida; Takashi Kawase; Shin Ishii; Henrik Skibbe; Tomomi Shimogori
        Proceedings of the National Academy of Sciences, 04 May 2021, Peer-reviewed
      • A meta-Q-learning approach to discriminative correlation filter based visual tracking
        Akihiro Kubo; Kourosh Meshgi; Shin Ishii
        Journal of Intelligent & Robotic Systems, Jan. 2021, Peer-reviewed
      • A generalized encoding system of alpha oscillations through visual saliency analysis
        Zhen Liang; Fangchao Li; Wanrou Hu; Gan Huang; Shigeyuki Oba; Zhiguo Zhang; Shin Ishii
        IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 Dec. 2020, Peer-reviewed
      • Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference
        Carlos Enrique Gutierrez; Henrik Skibbe; Ken Nakae; Hiromichi Tsukada; Jean Lienard; Akiya Watakabe; Junichi Hata; Marco Reisert; Alexander Woodward; Yoko Yamaguchi; Tetsuo Yamamori; Hideyuki Okano; Shin Ishii; Kenji Doya
        Scientific Reports, 18 Dec. 2020, Peer-reviewed
      • Modularized predictive codingbased online motion sysnthesis combining environmental constraints and motion data
        Jaepyung Hwang; Shin Ishii; Taesoo Kwon; Shigeyuki Oba
        IEEE Access, 06 Nov. 2020, Peer-reviewed
      • Geometry and the organization principle of spine synapses along a dendrite
        Parajuli L. K; Urakubo H; Takahashi-Nakazato A; Ogelman R; Iwasaki H; Koike M; Kwon H B; Ishii S; Oh W. C; Fukazawa Y; Okabe S
        eNeuro, 27 Oct. 2020, Peer-reviewed
      • Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity
        Urakubo H; Yagishita S; Kasai H; Ishii S
        PLoS computational biology, 23 Jul. 2020, Peer-reviewed
      • The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain.
        Alexander Woodward; Rui Gong; Hiroshi Abe; Ken Nakae; Junichi Hata; Henrik Skibbe; Yoko Yamaguchi; Shin Ishii; Hideyuki Okano; Tetsuo Yamamori; Noritaka Ichinohe
        Brain structure & function, May 2020, Peer-reviewed
      • Generative and discriminative model-based approaches to microscopic image restoration and segmentation
        Ishii S; Lee S; Urakubo H; Kume H; Kasai H
        Microscopy, Apr. 2020, Peer-reviewed, Invited
      • Computational characteristics of the striatal dopamine system described by reinforcement learning with fast generalization
        Yoshihisa Fujita; Sho Yagishita; Haruo Kasai; Shin Ishii
        Frontiers in Computational Neuroscience, 25 Mar. 2020, Peer-reviewed
      • Dopamine D2 receptors in discrimination learning and spine enlargement.
        Yusuke Iino; Takeshi Sawada; Kenji Yamaguchi; Mio Tajiri; Shin Ishii; Haruo Kasai; Sho Yagishita
        Nature, 18 Mar. 2020, Peer-reviewed
      • EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability
        Takashi Nishimoto; Hiroshi Higashi; Hiroshi Morioka; Shin Ishii
        Journal of Neural Engineering, 12 Mar. 2020, Peer-reviewed
      • Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration
        Lee S; Negishi M; Urakubo H; Kasai H; Ishii S
        Neural networks, 31 Jan. 2020, Peer-reviewed
      • UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images.
        Hidetoshi Urakubo; Torsten Bullmann; Yoshiyuki Kubota; Shigeyuki Oba; Shin Ishii
        Scientific reports, 19 Dec. 2019, Peer-reviewed
      • Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning
        Shota Ohnishi; Eiji Uchibe; Yotaro Yamaguchi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii
        Frontiers in Neurorobotics, 10 Dec. 2019, Peer-reviewed
      • GABAergic inhibition reduces the impact of synaptic excitation on somatic excitation
        Chiaki Kobayashi; Kazuki Okamoto; Yasuhiro Mochizuki; Hidetoshi Urakubo; Kenta Funayama; Tomoe Ishikawa; Tetsuhiko Kashima; Ayako Ouchi; Agnieszka F. Szymanska; Shin Ishii; Yuji Ikegaya
        Neuroscience Research, 20 Sep. 2019, Peer-reviewed
      • Logical design of oral glucose ingestion pattern minimizing blood glucose in humans.
        Fujii M; Murakami Y; Karasawa Y; Sumitomo Y; Fujita S; Koyama M; Uda S; Kubota H; Inoue H; Konishi K; Oba S; Ishii S; Kuroda S
        NPJ systems biology and applications, 02 Sep. 2019, Peer-reviewed
      • System level analysis of motor-related neural activities in larval Drosophila
        Yeongteak Yoon; Jeonghyuk Park; Atsushi Taniguchi; Hiroshi Kohsaka; Ken Nakae; Shigenori Nonaka; Shin Ishii; Akinao Nose
        Journal of Neurogenetics, 07 Jun. 2019, Peer-reviewed
      • An unsupervised EEG decoding system for human emotion recognition
        Zhen Liang; Shigeyuki Oba; Shin Ishii
        Neural Networks, 25 Apr. 2019
      • Semi-supervised deep learning of brain tissue segmentation.
        Ito R; Nakae K; Hata J; Okano H; Ishii S
        Neural networks : the official journal of the International Neural Network Society, 01 Apr. 2019, Peer-reviewed
      • Noise-resistant developmental reproducibility in vertebrate somite formation.
        Honda Naoki; Ryutaro Akiyama; Dini Wahyu Kartika Sari; Shin Ishii; Yasumasa Bessho; Takaaki Matsui
        PLoS computational biology, 04 Feb. 2019, Peer-reviewed
      • Virtual adversarial training: a regularization method for supervised and semi-supervised learning
        Miyato, T; Maeda, S; Koyama, M; Ishii, S
        IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, Peer-reviewed
      • Binary classifiers ensemble based on Bregman divergence for multi-class classification
        Takashi Takenouchi; Shin Ishii
        Neurocomputing, 18 Aug. 2018
      • Zero-shot fMRI decoding with three-dimensional registration based on diffusion tensor imaging
        Fuchigami,T; Shikauchi, Y; Nakae, K; Shikauchi, M; Ogawa, T; Ishii, S
        Scientific Reports, 17 Aug. 2018, Peer-reviewed
      • PAT:Probabilistic axon tracking for densely labeled neurons in large 3D micrographs
        Skibbe, H; Reisert, M; Nakae, K; Watakabe, A; Hata, J; Okano, H; Yamamori, T; Ishii, S
        IEEE Transactions on Medical Imaging, 13 Jul. 2018, Peer-reviewed
      • Characterization of electroencephalog- raphy signals for estimating saliency features in videos
        Liang, Z; Hamada, Y; Oba, S; Ishii, S
        Neural Networks, 12 May 2018, Peer-reviewed
      • Thermotactic behavioral strategy of C. elegans identified using inverse reinforcement learning
        Yamaguchi, S; Naoki, H; Ikeda, M; Tsukada, Y; Nakano, S; Mori, I; Ishii, S
        PLoS Computational Biology, 02 May 2018, Peer-reviewed
      • Inverse tissue mechanics of cell monolayer expansion
        Kondo, Y; Aoki, K; Ishii, S
        PLoS Computational Biology, 01 May 2018, Peer-reviewed
      • Identification of animal behavioral strategy by inverse reinforcement learning
        Yamaguchi S; Honda N; Ikeda M; Tsukada Y; Nakano S; Mori I; Ishii S
        PLoS Computational Biology, 2018, Peer-reviewed
      • Analysis of Structure-Function Relationship Using a Whole-Brain Dynamic Model Based on MRI Images of the Common Marmoset
        H Tsukada; H Hamada; K Nakae; S Ishii; J Hata; H Okano; K Doya
        Advances in Cognitive Neurodynamics, 2018, Peer-reviewed
      • Computational methods for estimating molecular system from membrane potential reordings in neuronal growth cone
        Yamada, T; Nishiyama, M; Oba, S; Jimbo, H. C; Ikeda, K; Ishii, S; Hong, K; Sakumura, Y
        Scientific Reports, 2018, Peer-reviewed
      • Active collaborative ensemble tracking
        Kourosh Meshgi; Maryam Sadat Mirzaei; Shigeyuki Oba; Shin Ishii
        2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, 20 Oct. 2017, Peer-reviewed
      • Self-organization mechanism of microtubule orientation patterns in axons and dendrites.
        Honda N; Uegaki K; Ishii S
        bioRxiv, Jul. 2017
      • Model-based control of the temporal patterns of intracellular signaling in silico
        Yohei Murakami; Masanori Koyama; Shigeyuki Oba; Shinya Kuroda; Shin Ishii
        Biophysics and Physicobiology, 22 Feb. 2017
      • Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker
        Kourosh Meshgi; Shin-ichi Maeda; Shigeyuki Oba; Shin Ishii
        Neural Networks, 03 Jan. 2017
      • 誤り理由を考慮したニューラル文法誤り訂正
        小山田 創哲; 兼村 厚範; 石井 信
        人工知能学会全国大会論文集, 2017
      • Robust encoding of scene anticipation during human spatial navigation
        Yumi Shikauchi; Shin Ishii
        Scientific Reports, 22 Nov. 2016
      • Multi-phasic bi-directional chemotactic responses of the growth cone
        Honda Naoki; Makoto Nishiyama; Kazunobu Togashi; Yasunobu Igarashi; Kyonsoo Hong; Shin Ishii
        Scientific Reports, 03 Nov. 2016
      • Two New FRET Imaging Measures: Linearly Proportional to and Highly Contrasting the Fraction of Active Molecules
        Masataka Yamao; Kazuhiro Aoki; Naoto Yukinawa; Shin Ishii; Michiyuki Matsuda; Honda Naoki
        PLOS ONE, 25 Oct. 2016
      • Multi-Sensor Based State Prediction for Personal Mobility Vehicles
        Jamilah Abdur-Rahim; Yoichi Morales; Pankaj Gupta; Ichiro Umata; Atsushi Watanabe; Jani Even; Takayuki Suyama; Shin Ishii
        PLOS ONE, 12 Oct. 2016
      • Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model
        Yuzhe Li; Ken Nakae; Shin Ishii; Honda Naoki
        PLOS Computational Biology, 12 Sep. 2016
      • Sparse and low-rank matrix regularization for learning time-varying Markov networks
        Jun-ichiro Hirayama; Aapo Hyvärinen; Shin Ishii
        Machine Learning, 28 Jun. 2016
      • An occlusion-aware particle filter tracker to handle complex and persistent occlusions
        Kourosh Meshgi; Shin-ichi Maeda; Shigeyuki Oba; Henrik Skibbe; Yu-zhe Li; Shin Ishii
        Computer Vision and Image Understanding, 24 May 2016
      • Empirical Bayesian significance measure of neuronal spike response
        Shigeyuki Oba; Ken Nakae; Yuji Ikegaya; Shunsuke Aki; Junichiro Yoshimoto; Shin Ishii
        BMC Neuroscience, 21 May 2016
      • Reconstruction of spatial thermal gradient encoded in thermosensory neuron AFD in Caenorhabditis elegans
        Tsukada Yuki; Yamao Masataka; Naoki Honda; Shimowada Tomoyasu; Ohnishi Noriyuki; Kuhara Atsushi; Ishii Shin; Mori Ikue
        Journal of Neuroscience, 02 Mar. 2016
      • Reconstruction of Spatial Thermal Gradient Encoded in Thermosensory Neuron AFD inCaenorhabditis elegans
        Yuki Tsukada; Masataka Yamao; Honda Naoki; Tomoyasu Shimowada; Noriyuki Ohnishi; Atsushi Kuhara; Shin Ishii; Ikue Mori
        The Journal of Neuroscience, 02 Mar. 2016
      • Distinct predictive performance of Rac1 and Cdc42 in cell migration
        Masataka Yamao; Honda Naoki; Katsuyuki Kunida; Kazuhiro Aoki; Michiyuki Matsuda; Shin Ishii
        Scientific Reports, 04 Dec. 2015
      • Decoding the view expectation during learned maze navigation from human fronto-parietal network
        Yumi Shikauchi; Shin Ishii
        Scientific Reports, 03 Dec. 2015
      • The State-of-the-Art in Handling Occlusions for Visual Object Tracking
        Kourosh MESHGI; Shin ISHII
        IEICE Transactions on Information and Systems, 01 Jul. 2015
      • Learning a common dictionary for subject-transfer decoding with resting calibration
        Hiroshi Morioka; Atsunori Kanemura; Jun-ichiro Hirayama; Manabu Shikauchi; Takeshi Ogawa; Shigeyuki Ikeda; Motoaki Kawanabe; Shin Ishii
        NeuroImage, 13 Feb. 2015
      • Efficient Monte Carlo Image Analysis for the Location of Vascular Entity
        Henrik Skibbe; Marco Reisert; Shin-ichi Maeda; Masanori Koyama; Shigeyuki Oba; Kei Ito; Shin Ishii
        IEEE TRANSACTIONS ON MEDICAL IMAGING, Feb. 2015, Peer-reviewed
      • Deep learning of fMRI big data: a novel approach to subject-transfer decoding.
        Sotetsu Koyamada; Yumi Shikauchi; Ken Nakae; Masanori Koyama; Shin Ishii
        arXiv, 2015
      • Subtle modulation of ongoing calcium dynamics in astrocytic microdomains by sensory inputs
        Akiko Asada; Sakiko Ujita; Ryota Nakayama; Shigeyuki Oba; Shin Ishii; Norio Matsuki; Yuji Ikegaya
        Physiological Reports, 2015, Peer-reviewed
      • A Computational Model of Afterimage Rotation in the Peripheral Drift Illusion Based on Retinal ON/OFF Responses
        Yuichiro Hayashi; Shin Ishii; Hidetoshi Urakubo
        PLoS ONE, 17 Dec. 2014
      • Proposal of New Reinforcement Learning with a State-independent Policy
        Daichi Nakano; Shin-ichi Maeda; Shin Ishii
        Transactions of the Institute of Systems, Control and Information Engineers, 10 Dec. 2014
      • Structural Differences in Gray Matter between Glider Pilots and Non-Pilots. A Voxel-Based Morphometry Study
        Tosif Ahamed; Motoaki Kawanabe; Shin Ishii; Daniel E. Callan
        Frontiers in Neurology, 28 Nov. 2014
      • A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+Imaging
        Ken Nakae; Yuji Ikegaya; Tomoe Ishikawa; Shigeyuki Oba; Hidetoshi Urakubo; Masanori Koyama; Shin Ishii
        PLOS COMPUTATIONAL BIOLOGY, Nov. 2014, Peer-reviewed
      • Spiking network simulation code for petascale computers
        Susanne Kunkel; Maximilian Schmidt; Jochen M. Eppler; Hans E. Plesser; Gen Masumoto; Jun Igarashi; Shin Ishii; Tomoki Fukai; Abigail Morrison; Markus Diesmann; Moritz Helias
        Frontiers in Neuroinformatics, 10 Oct. 2014
      • A critical time window for dopamine actions on the structural plasticity of dendritic spines
        S. Yagishita; A. Hayashi-Takagi; G. C. R. Ellis-Davies; H. Urakubo; S. Ishii; H. Kasai
        Science, 26 Sep. 2014
      • Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information
        Hiroshi Morioka; Atsunori Kanemura; Satoshi Morimoto; Taku Yoshioka; Shigeyuki Oba; Motoaki Kawanabe; Shin Ishii
        NeuroImage, 15 Apr. 2014
      • In Vitro Reconstitution of a CaMKII Memory Switch by an NMDA Receptor-Derived Peptide
        Hidetoshi Urakubo; Miharu Sato; Shin Ishii; Shinya Kuroda
        Biophysical Journal, 18 Mar. 2014
      • Modeling of Human Velocity Habituation for a Robotic Wheelchair
        Yoichi Morales; Jamilah A. Abdur-Rahim; Jani Even; Atsushi Watanabe; Tadahisa Kondo; Norihiro Hagita; Takeshi Ogawa; Shin Ishii
        2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, Peer-reviewed
      • Mathematical modeling of neuronal polarization during development
        Naoki, H; Ishii, S
        Progress in Molecular Biology and Translational Science, 2014, Peer-reviewed
      • Microscopic image restoration based on tensor factorization of rotated patches
        Masayuki Kouno; Ken Nakae; Shigeyuki Oba; Shin Ishii
        Artificial Life and Robotics, 23 Nov. 2012
      • Supercomputers Ready for Use as Discovery Machines for Neuroscience
        Moritz Helias; Susanne Kunkel; Gen Masumoto; Jun Igarashi; Jochen Martin Eppler; Shin Ishii; Tomoki Fukai; Abigail Morrison; Markus Diesmann
        Frontiers in Neuroinformatics, 02 Nov. 2012
      • Low-Dimensional Feature Representation for Instrument Identification
        Mizuki Ihara; Shin-ichi Maeda; Kazushi Ikeda; Shin Ishii
        SICE Journal of Control, Measurement, and System Integration, 01 Jul. 2012
      • Asymptotic analysis of value prediction by well-specified and misspecified models
        Tsuyoshi Ueno; Shin-ichi Maeda; Shin Ishii
        Neural Networks, Jul. 2012
      • Dynamic Regulation of Myosin Light Chain Phosphorylation by Rho-kinase
        Takako Kaneko-Kawano; Fugo Takasu; Honda Naoki; Yuichi Sakumura; Shin Ishii; Takahiro Ueba; Akinori Eiyama; Aiko Okada; Yoji Kawano; Kenji Suzuki
        PLoS ONE, 19 Jun. 2012
      • A State-Space Modeling Approach for Localization of Focal Current Sources From MEG
        M. Fukushima; O. Yamashita; A. Kanemura; S. Ishii; M. Kawato; M. Sato
        IEEE Transactions on Biomedical Engineering, Jun. 2012
      • <大学の研究・動向>確率的画像処理と生命・知性のモデル
        石井 信; 大羽 成征; 前田 新一
        Cue : 京都大学電気関係教室技術情報誌, Mar. 2012
      • A unified framework of binary classifiers ensemble for multi-class classification
        Takashi Takenouchi; Shin Ishii
        Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, Peer-reviewed
      • Multi-Cellular Logistics of Collective Cell Migration
        Masataka Yamao; Honda Naoki; Shin Ishii
        PLoS ONE, 21 Dec. 2011
      • High‐Speed Multineuron Calcium Imaging Using Nipkow‐Type Confocal Microscopy
        Naoya Takahashi; Shigeyuki Oba; Naoto Yukinawa; Sakiko Ujita; Mika Mizunuma; Norio Matsuki; Shin Ishii; Yuji Ikegaya
        Current Protocols in Neuroscience, Oct. 2011
      • Incremental State Aggregation for Value Function Estimation in Reinforcement Learning
        T. Mori; S. Ishii
        IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Oct. 2011
      • The period of the somite segmentation clock is sensitive to Notch activity
        Woong Kim; Takaaki Matsui; Masataka Yamao; Makoto Ishibashi; Kota Tamada; Toru Takumi; Kenji Kohno; Shigeyuki Oba; Shin Ishii; Yuichi Sakumura; Yasumasa Bessho
        Molecular Biology of the Cell, 15 Sep. 2011
      • A multiphysical model of cell migration integrating reaction–diffusion, membrane and cytoskeleton
        Seigo Nonaka; Honda Naoki; Shin Ishii
        Neural Networks, 22 Jun. 2011
      • Generalized TD Learning
        Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii
        JOURNAL OF MACHINE LEARNING RESEARCH, 11 Jun. 2011, Peer-reviewed
      • Semaphorin 3A induces CaV2.3 channel-dependent conversion of axons to dendrites
        Makoto Nishiyama; Kazunobu Togashi; Melanie J. von Schimmelmann; Chae-Seok Lim; Shin-ichi Maeda; Naoya Yamashita; Yoshio Goshima; Shin Ishii; Kyonsoo Hong
        Nature Cell Biology, Jun. 2011
      • Flexible Search for Single-Axon Morphology during Neuronal Spontaneous Polarization
        Honda Naoki; Shinichi Nakamuta; Kozo Kaibuchi; Shin Ishii
        PLoS ONE, 29 Apr. 2011
      • Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions
        Takashi Takenouchi; Shin Ishii
        Machine Learning, 27 Feb. 2011
      • Image Processing Techniques as Inference for a Probability System(Advanced Applications of Probability Theory in Systems, Control and Information)
        MAEDA Shin-ichi; KANEMURA Atsunori; ISHII Shin
        SYSTEMS, CONTROL AND INFORMATION, 2011
      • Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method
        Junichiro Yoshimoto; Masa-Aki Sato; Shin Ishii
        Intelligent Automation & Soft Computing, Jan. 2011
      • Visual attention model involving feature-based inhibition of return
        Shinji Hotta; Shigeyuki Oba; Shin Ishii
        Artificial Life and Robotics, Sep. 2010
      • A diffusion‐based neurite length‐sensing mechanism involved in neuronal symmetry breaking
        Michinori Toriyama; Yuichi Sakumura; Tadayuki Shimada; Shin Ishii; Naoyuki Inagaki
        Molecular Systems Biology, Jul. 2010
      • Maximuma posterioriX-ray computed tomography using graph cuts
        Shin-ichi Maeda; Wataru Fukuda; Atsunori Kanemura; Shin Ishii
        Journal of Physics: Conference Series, 01 Jun. 2010
      • Sparse Bayesian Learning of Filters for Efficient Image Expansion
        Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        IEEE Transactions on Image Processing, Jun. 2010
      • Hierarchical rule switching in prefrontal cortex
        Wako Yoshida; Hidefumi Funakoshi; Shin Ishii
        NeuroImage, Mar. 2010
      • Bayesian image superresolution and hidden variable modeling
        Atsunori Kanemura; Shin-ichi Maeda; Wataru Fukuda; Shin Ishii
        Journal of Systems Science and Complexity, Feb. 2010
      • Differential gene detection incorporating common expression patterns
        Shigeyuki Oba; Shin Ishii
        Journal of Physics: Conference Series, 01 Dec. 2009
      • Boosting perceptual learning by fake feedback
        Kazuhisa Shibata; Noriko Yamagishi; Shin Ishii; Mitsuo Kawato
        Vision Research, Oct. 2009
      • 複層マルコフ確率場を事前分布とする超解像法におけるハイパパラメータ推定
        兼村厚範; 前田新一; 石井信
        電子情報通信学会論文誌, Oct. 2009, Peer-reviewed
      • Superresolution with compound Markov random fields via the variational EM algorithm
        Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        Neural Networks, Sep. 2009
      • Learning a multi-dimensional companding function for lossy source coding
        Shin-ichi Maeda; Shin Ishii
        Neural Networks, Sep. 2009
      • A Multiclass Classification Method Based on Decoding of Binary Classifiers
        Takashi Takenouchi; Shin Ishii
        Neural Computation, Jul. 2009
      • Robust Model Selection for Classification of Microarrays
        Ikumi Suzuki; Takashi Takenouchi; Miki Ohira; Shigeyuki Oba; Shin Ishii
        Cancer Informatics, 25 Jun. 2009
      • Optimal Sufficient Statistics for Parametric and Non-Parametric Multiple Simultaneous Hypothesis Testing
        Shigeyuki Oba; Shin Ishii
        The International Journal of Biostatistics, 23 Jun. 2009, Peer-reviewed
      • Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles
        N. Yukinawa; S. Oba; K. Kato; S. Ishii
        IEEE/ACM Transactions on Computational Biology and Bioinformatics, Apr. 2009
      • Adaptive particle allocation for multifocal visual attention based on particle filtering
        Naomi Yano; Tomohiro Shibata; Shin Ishii
        Artificial Life and Robotics, Mar. 2009, Peer-reviewed
      • A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data
        Naoto Yukinawa; Taku Yoshioka; Kazuo Kobayashi; Naotake Ogasawara; Shin Ishii
        IPSJ Transactions on Bioinformatics, 2009
      • Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics
        Mizuki Ihara; Shin-ichi Maeda; Shin Ishii
        Neural Computing and Applications, Jan. 2009
      • Using gene expression profiling to identify a prognostic molecular spectrum in gliomas
        Mitsuaki Shirahata; Shigeyuki Oba; Kyoko Iwao-Koizumi; Sakae Saito; Noriko Ueno; Masashi Oda; Nobuo Hashimoto; Shin Ishii; June A. Takahashi; Kikuya Kato
        Cancer Science, Jan. 2009
      • Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking
        Yuki Tsukada; Kazuhiro Aoki; Takeshi Nakamura; Yuichi Sakumura; Michiyuki Matsuda; Shin Ishii
        PLoS Computational Biology, 14 Nov. 2008
      • Stochastic control of spontaneous signal generation for gradient sensing in chemotaxis
        Honda Naoki; Yuichi Sakumura; Shin Ishii
        Journal of Theoretical Biology, Nov. 2008
      • Collaborative Prediction by Multiple Bayesian Networks and Its Application to Printer Usage Modeling
        Jun-ichiro Hirayama; Masashi Nakatomi; Takashi Takenouchi; Shin Ishii
        Behaviormetrika, Jul. 2008
      • Prediction of aperiodic target sequences by saccades
        Manabu Shikauchi; Shin Ishii; Tomohiro Shibata
        Behavioural Brain Research, Jun. 2008
      • Adaptive control of a looper-like robot based on the CPG-actor-critic method
        Kenji Makino; Yutaka Nakamura; Tomohiro Shibata; Shin Ishii
        Artificial Life and Robotics, Mar. 2008, Peer-reviewed
      • Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals
        Tomoya Tamei; Shin Ishii; Tomohiro Shibata
        Advanced Robotics, Jan. 2008
      • α-Bayesian collaboration of multiple predictors and its applications to hybrid recommendation and user modeling
        Hirayama, J; Nakatomi, M; Takenouchi, T; Ishii, S
        Neural Information Processing - Letters and Reviews, Jan. 2008, Peer-reviewed
      • Combining multiple decisions: applications to bioinformatics
        N Yukinawa; T Takenouchi; S Oba; S Ishii
        Journal of Physics: Conference Series, 01 Jan. 2008, Peer-reviewed, Invited
      • A probabilistic modeling of MOSAIC learning
        Satoshi Osaga; Jun-ichiro Hirayama; Takashi Takenouchi; Shin Ishii
        Artificial Life and Robotics, 2008
      • Novel risk stratification of patients with neuroblastoma by genomic signature, which is independent of molecular signature
        N Tomioka; S Oba; M Ohira; A Misra; J Fridlyand; S Ishii; Y Nakamura; E Isogai; T Hirata; Y Yoshida; S Todo; Y Kaneko; D G Albertson; D Pinkel; B G Feuerstein; A Nakagawara
        Oncogene, Jan. 2008
      • Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation
        Hajime Fujita; Shin Ishii
        Neural Computation, Nov. 2007
      • Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis
        Jun-ichiro Hirayama; Shin-ichi Maeda; Shin Ishii
        IEEE Transactions on Neural Networks, Sep. 2007
      • Reinforcement learning for a biped robot based on a CPG-actor-critic method
        Yutaka Nakamura; Takeshi Mori; Masa-aki Sato; Shin Ishii
        Neural Networks, Aug. 2007
      • Parameter estimation for von Mises–Fisher distributions
        Akihiro Tanabe; Kenji Fukumizu; Shigeyuki Oba; Takashi Takenouchi; Shin Ishii
        Computational Statistics, 10 Apr. 2007
      • Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot
        Kentarou Hitomi; Tomohiro Shibata; Yutaka Nakamura; Shin Ishii
        Robotics and Autonomous Systems, Dec. 2006
      • A multi-class predictor based on a probabilistic model: application to gene expression profiling-based diagnosis of thyroid tumors
        Naoto Yukinawa; Shigeyuki Oba; Kikuya Kato; Kazuya Taniguchi; Kyoko Iwao-Koizumi; Yasuhiro Tamaki; Shinzaburo Noguchi; Shin Ishii
        BMC Genomics, Dec. 2006
      • The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study
        Yasunobu Igarashi; Yuichi Sakumura; Shin Ishii
        Neural Networks, Oct. 2006
      • Switching particle filters for efficient visual tracking
        Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii
        Robotics and Autonomous Systems, Oct. 2006
      • Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors
        Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii
        Neurocomputing, Oct. 2006
      • Semi-supervised discovery of differential genes
        Shigeyuki Oba; Shin lshii
        BMC Bioinformatics, 18 Sep. 2006
      • Prediction of peritoneal metastasis in advanced gastric cancer by gene expression profiling of the primary site
        Masaaki Motoori; Ichiro Takemasa; Yuichiro Doki; Sakae Saito; Hiroshi Miyata; Shuji Takiguchi; Yoshiyuki Fujiwara; Takushi Yasuda; Masahiko Yano; Yukinori Kurokawa; Takamichi Komori; Makoto Yamasaki; Noriko Ueno; Shigeyuki Oba; Shin Ishii; Morito Monden; Kikuya Kato
        European Journal of Cancer, Aug. 2006
      • Resolution of Uncertainty in Prefrontal Cortex
        Wako Yoshida; Shin Ishii
        Neuron, Jun. 2006
      • Stochastic resonance with differential code in feedforward network with intra-layer random connections
        Yuichi Sakumura; Shin Ishii
        Neural Networks, May 2006
      • Tutorial series on brain-inspired computing - Part 4: Reinforcement learning: Machine learning and natural learning
        S Ishii; W Yoshida
        NEW GENERATION COMPUTING, 2006, Peer-reviewed
      • Combfit: A Normalization Method for Array CGH Data
        Shigeyuki Oba; Nobumoto Tomioka; Miki Ohira; Shin Ishii
        IPSJ Digital Courier, 2006
      • An Efficient Adaptive Sampling Algorithm for Particle Filtering of the Hierarchically-Modeled Object
        Takashi BANDO; Tomohiro SHIBATA; Mikio SHIMIZU; Shin ISHII
        Transactions of the Institute of Systems, Control and Information Engineers, 2006
      • 重点サンプリングに基づくNatural Actor-Critic 法による効果的なサンプルの再利用
        森健; 中村泰; 石井信
        電子情報通信学会論文誌, Jan. 2006, Peer-reviewed
      • 部分観測カードゲームのためのモデル同定型強化学習
        藤田肇; 石井信
        電子情報通信学会論文誌, Nov. 2005, Peer-reviewed
      • A review of DNA microarray analysis of human neuroblastomas
        Miki Ohira; Shigeyuki Oba; Yoko Nakamura; Takahiro Hirata; Shin Ishii; Akira Nakagawara
        Cancer Letters, 18 Oct. 2005, Peer-reviewed
      • Reinforcement Learning : Theory and Applications
        ISHII Shin; DOYA Kenji
        The Journal of the Institute of Electronics, Information and Communication Engineers, Oct. 2005
      • A Molecular Model for Axon Guidance Based on Cross Talk between Rho GTPases
        Yuichi Sakumura; Yuki Tsukada; Nobuhiko Yamamoto; Shin Ishii
        Biophysical Journal, Aug. 2005
      • 方策こう配法に基づく強化学習法と二足歩行運動制御への応用
        森健; 中村泰; 石井信
        電子情報通信学会論文誌, Jun. 2005, Peer-reviewed
      • Acrobot control by learning the switching of multiple controllers
        Junichiro Yoshimoto; Masaya Nishimura; Yoichi Tokita; Shin Ishii
        Artificial Life and Robotics, 20 May 2005, Peer-reviewed
      • Prediction of recurrence in advanced gastric cancer patients after curative resection by gene expression profiling
        Masaaki Motoori; Ichiro Takemasa; Masahiko Yano; Sakae Saito; Hiroshi Miyata; Shuji Takiguchi; Yoshiyuki Fujiwara; Takushi Yasuda; Yuichiro Doki; Yukinori Kurokawa; Noriko Ueno; Shigeyuki Oba; Shin Ishii; Morito Monden; Kikuya Kato
        International Journal of Cancer, 10 May 2005
      • 複数制御器の切替学習法による実アクロボットの制御
        西村政哉; 吉本潤一郎; 時田陽一; 中村泰; 石井信
        電子情報通信学会論文誌, May 2005, Peer-reviewed
      • A reinforcement learning scheme for a partially-observable multi-agent game
        S Ishii; H Fujita; M Mitsutake; T Yamazaki; J Matsuda; Y Matsuno
        MACHINE LEARNING, May 2005, Peer-reviewed
      • Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas
        Miki Ohira; Shigeyuki Oba; Yohko Nakamura; Eriko Isogai; Setsuko Kaneko; Atsuko Nakagawa; Takahiro Hirata; Hiroyuki Kubo; Takeshi Goto; Saichi Yamada; Yasuko Yoshida; Misa Fuchioka; Shin Ishii; Akira Nakagawara
        Cancer Cell, Apr. 2005
      • Adaptor-tagged competitive polymerase chain reaction: amplification bias and quantified gene expression levels
        Hiroko Kita-Matsuo; Naoto Yukinawa; Ryo Matoba; Sakae Saito; Shigeyuki Oba; Shin Ishii; Kikuya Kato
        Analytical Biochemistry, Apr. 2005
      • Identification of a Network between EEG and EMG using Autoregressive Model
        SUHARA Yuichi; SHIBATA Tomohiro; OGA Tatsuhide; UEKI Yoshino; MIMA Tatsuya; ISHII Shin
        電子情報通信学会技術研究報告. MBE, MEとバイオサイバネティックス, Mar. 2005
      • Local signaling with molecular diffusion as a decoder of Ca 2+ signals in synaptic plasticity
        Honda Naoki; Yuichi Sakumura; Shin Ishii
        Molecular Systems Biology, Jan. 2005
      • Off-policy natural policy gradient method for a biped walking using a CPG controller
        Nakamura, Y; Mori, T; Tokita, Y; Shibata, T; Ishii, S
        Journal of Robotics and Mechatronics, 2005, Peer-reviewed
      • 線形ダイナミカルシステムモデルの変分ベイズ推定による遺伝子発現時系列のシステム同定
        行縄直人; 吉本潤一郎; 大羽成征; 石井信
        情報処理学会論文誌:数理モデル化と応用, 2005, Peer-reviewed
      • Temporal Reasoning about Two Concurrent Sequences of Events
        Yasunori Ishihara; Shin Ishii; Hiroyuki Seki; Minoru Ito
        SIAM Journal on Computing, Jan. 2005
      • Model-based reinforcement learning: a computational model and an fMRI study
        Wako Yoshida; Shin Ishii
        Neurocomputing, Jan. 2005
      • Nonlinear and noisy extension of independent component analysis: Theory and its application to a pitch sensation model
        S Maeda; WJ Song; S Ishii
        NEURAL COMPUTATION, Jan. 2005, Peer-reviewed
      • Bayesian representation learning in the cortex regulated by acetylcholine
        Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii
        Neural Networks, Dec. 2004
      • Self-organization of delay lines by spike-time-dependent learning
        Ken-Ichi Amemori; Shin Ishii
        Neurocomputing, Oct. 2004
      • Molecular prediction of response to 5-fluorouracil and interferon-alpha combination chemotherapy in advanced hepatocellular carcinoma.
        Yukinori Kurokawa; Ryo Matoba; Hiroaki Nagano; Masato Sakon; Ichiro Takemasa; Shoji Nakamori; Keizo Dono; Koji Umeshita; Noriko Ueno; Shin Ishii; Kikuya Kato; Morito Monden
        Clinical cancer research : an official journal of the American Association for Cancer Research, 15 Sep. 2004, Peer-reviewed
      • Molecular-based prediction of early recurrence in hepatocellular carcinoma
        Yukinori Kurokawa; Ryo Matoba; Ichiro Takemasa; Hiroaki Nagano; Keizo Dono; Shoji Nakamori; Koji Umeshita; Masato Sakon; Noriko Ueno; Shigeyuki Oba; Shin Ishii; Kikuya Kato; Morito Monden
        Journal of Hepatology, Aug. 2004
      • 神経振動子ネットワークを用いたリズム運動に対する強化学習法
        中村泰; 佐藤雅昭; 石井信
        電子情報通信学会論文誌, Mar. 2004, Peer-reviewed
      • 学習によるproduct codeの設計
        前田新一; 石井信
        電子情報通信学会論文誌, 2004, Peer-reviewed
      • Molecular features of non-B, non-C hepatocellular carcinoma: a PCR-array gene expression profiling study
        Yukinori Kurokawa; Ryo Matoba; Ichiro Takemasa; Shoji Nakamori; Masanori Tsujie; Hiroaki Nagano; Keizo Dono; Koji Umeshita; Masato Sakon; Noriko Ueno; Hiroko Kita; Shigeyuki Oba; Shin Ishii; Kikuya Kato; Morito Monden
        Journal of Hepatology, Dec. 2003
      • A Bayesian missing value estimation method for gene expression profile data
        S. Oba; M.-a. Sato; I. Takemasa; M. Monden; K.-i. Matsubara; S. Ishii
        Bioinformatics, 01 Nov. 2003
      • Variational Bayes Method for Mixture of Principal Component Analyzers
        Shigeyuki Oba; Masa-Aki Sato; Shin Ishii
        Systems and Computers in Japan, Oct. 2003, Peer-reviewed
      • On-Line Learning Methods for Gaussian Processes
        Shigeyuki Oba; Masa-aki Sato; Shin Ishii
        Artificial Neural Networks — ICANN 2001, Mar. 2003
      • Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data
        Shizuko Muro; Ichiro Takemasa; Shigeyuki Oba; Ryo Matoba; Noriko Ueno; Chiyuri Maruyama; Riu Yamashita; Mitsugu Sekimoto; Hirofumi Yamamoto; Shoji Nakamori; Morito Monden; Shin Ishii; Kikuya Kato
        Genome Biology, Feb. 2003
      • Normalized Gaussian Network Based on Variational Bayes Inference and Hierarchical Model Selection
        Junichiro YOSHIMOTO; Shin ISHII; Masa-aki SATO
        Transactions of the Society of Instrument and Control Engineers, 2003
      • 連続力学システムの自動制御のためのオンラインEM強化学習法
        吉本潤一郎; 石井信; 佐藤雅昭
        システム制御情報学会論文誌, 2003, Peer-reviewed
      • A multiagent reinforcement learning method based on the model inference of the other agents
        Yoichiro Matsuno; Tatsuya Yamazaki; Jun Matsuda; Shin Ishii
        Systems and Computers in Japan, 15 Nov. 2002, Peer-reviewed
      • Poisson 方程式に対する複数双極子の直接的推定法における動径方向分解能の向上のための重み関数の提案
        新妻弘崇; 石井信
        電子情報通信学会論文誌, Nov. 2002, Peer-reviewed
      • Control of exploitation-exploration meta-parameter in reinforcement learning
        S Ishii; W Yoshida; J Yoshimoto
        NEURAL NETWORKS, Jun. 2002, Peer-reviewed
      • Doubly constrained network for combinatorial optimization
        S Ishii; MA Sato
        NEUROCOMPUTING, Mar. 2002, Peer-reviewed
      • Associative Memory with Hidden Units by a Hybrid Learning
        Jun TSUZURUGI; Norikazu TAKAHASHI; Shin ISHII
        Transactions of the Institute of Systems, Control and Information Engineers, 2002
      • 変分法的ベイズ推定による混合主成分分析
        大羽成征; 佐藤雅昭; 石井信
        電子情報通信学会論文誌, 2002, Peer-reviewed
      • 神経情報科学サマースクール報告
        銅谷 賢治; 川口 英夫; 石井 信
        日本神経回路学会誌 = The Brain & neural networks, 05 Dec. 2001
      • Multiagent reinforcement learning applied to a chase problem in a continuous world
        Hiroki Tamakoshi; Shin Ishii
        Artificial Life and Robotics, Dec. 2001
      • Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs
        Ken-ichi Amemori; Shin Ishii
        Neural Computation, 01 Dec. 2001
      • Reconstruction of chaotic dynamics by on-line EM algorithm
        S. Ishii; M.-A. Sato
        Neural Networks, Nov. 2001
      • 相手モデル学習を取り入れたマルチエージェント系の強化学習法
        松野陽一郎; 山崎達也; 松田潤; 石井信
        電子情報通信学会論文誌, Aug. 2001, Peer-reviewed
      • Application of Reinforcement Learning Based on On-Line EM Algorithm to Balancing of Acrobot
        Junichiro Yoshimoto; Shin Ishii; Masa-Aki Sato
        Systems and Computers in Japan, May 2001, Peer-reviewed
      • Learning chaotic dynamics under noise with on-line EM algorithm
        W Yoshida; S Ishii; MA Sato
        ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2001, Peer-reviewed
      • λ-Opt Neural Approaches to Quadratic Assignment Problems
        Shin Ishii; Hirotaka Niitsuma
        Neural Computation, 01 Sep. 2000
      • On-line EM Algorithm for the Normalized Gaussian Network
        Masa-aki Sato; Shin Ishii
        Neural Computation, 01 Feb. 2000
      • 精緻な時空間スパイク列の自己組織化学習と想起
        雨森賢一; 石井信
        システム制御情報学会論文誌, 2000, Peer-reviewed
      • Ensemble average and variance of a stochastic spiking neuron model
        Amemori, K.; Ishii, S.
        IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2000, Peer-reviewed
      • ニューラルネットワークによる2次割当て問題の一解法とそのダイナミクス
        新妻弘崇; 石井信
        電子情報通信学会論文誌, 2000, Peer-reviewed
      • オンラインEM アルゴリズムによる強化学習法のacrobot 制御への応用
        吉本潤一郎; 石井信; 佐藤雅昭
        電子情報通信学会論文誌, 2000, Peer-reviewed
      • オンラインEMアルゴリズムによるカオス力学系の学習と耐ノイズ性
        吉田和子; 石井信; 佐藤雅昭
        電子情報通信学会論文誌, 2000, Peer-reviewed
      • Strategy acquisition for the game "Othello" based on reinforcement learning
        T Yoshioka; S Ishii; M Ito
        IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Dec. 1999, Peer-reviewed
      • アナログ λ-opt アルゴリズムを使った2次割当て問題の解法
        新妻弘崇; 石井信; 伊藤実
        電子情報通信学会論文誌, 1999, Peer-reviewed
      • 座標変換を用いたカオス最適化手法
        新妻弘崇; 石井信; 伊藤実
        電子情報通信学会論文誌, 1999, Peer-reviewed
      • Symbolic strings and spatial 1/f spectra
        M Osaka; K Gohara; S Ishii; H Kishida; H Hayakawa; N Ito
        PHYSICA D, Jan. 1999, Peer-reviewed
      • Associative memory based on parametrically coupled chaotic elements
        Shin Ishii; Masa-aki Sato
        Physica D: Nonlinear Phenomena, Oct. 1998
      • Constrained neural approaches to quadratic assignment problems
        S. Ishii; M. Sato
        Neural Networks, Aug. 1998
      • Chaotic Potts Spin Model for Combinatorial Optimization Problems
        Shin Ishii; Masa-aki Sato
        Neural Networks, Jul. 1997
      • Eliminating spurious memories in a network of chaotic elements
        S Ishii
        JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, Jan. 1997, Peer-reviewed
      • Bifurcations in mean-field-theory annealing
        Masa-aki Sato; Shin Ishii
        Physical Review E, 01 May 1996
      • A network of chaotic elements for information processing
        Shin Ishi; Kenji Fukumizu; Sumio Watanabe
        Neural Networks, Jan. 1996

      Misc.

      • Decoding scene prediction and its confidence during maze exploration
        Katayama, R; Ishii, S; Yoshida, W
        Joint Meeting of Brain Research Organization (IBRO), Sep. 2019
      • 2019 年度時限研究会 システム神経科学スプリングスクール 2019 (SNSS2019) 実施報告書
        中江健; 浦久保秀俊; 東広志; 田中康裕; 島崎秀昭; 尾藤晴彦; 石井信
        日本神経回路学会誌, Sep. 2019
      • MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
        H. Skibbe; A. Watakabe; K. Nakae; C.E. Gutierrez; H. Tsukada; J.K.T. Hata; R. Gong; A. Woodward; K. Doya; H. Okano; T. Yamamori; S. Ishii
        https://arxiv.org/abs/1908.00876, 02 Aug. 2019
      • Online motion synthesis framework using a simple mass model based on predictive coding
        Jaepyung Hwang; Shin Ishii; Shigeyuki Oba
        Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 26 Jul. 2019
      • Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos
        Zhen Liang; Hiroshi Higashi; Shigeyuki Oba; Shin Ishii
        2019 International Joint Conference on Neural Networks (IJCNN), Jul. 2019
      • Inherent Feature Connection (I-Con) Map for Liking Emotion Detection: an EEG Study
        Zhen Liang; Shigeyuki Oba; Shin Ishii
        01 Jul. 2018
      • Reproducing the cognitive function with the robustness against the brain structure and with the efficient learning algorithm.
        Fujita, Y; Ishii, S
        CNS2018, Jul. 2018
      • Efficient diverse ensemble for discriminative co-tracking
        Meshgi, K; Oba, S; Ishii, S
        Computer Vision and Pattern Recoginition 2018 (CVPR), Jun. 2018
      • Efficient Version-Space Reduction for Visual Tracking
        Kourosh Meshgi; Shigeyuki Oba; Shin Ishii
        Proceedings - 2017 14th Conference on Computer and Robot Vision, CRV 2017, 07 Feb. 2018, Peer-reviewed
      • Active discriminative tracking using collective memory
        Kourosh Meshgi; Shigeyuki Oba; Shin Ishii
        2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), May 2017
      • 誤り理由を考慮したニューラル文法誤り訂正
        小山田創哲; 小山田創哲; 小山田創哲; 兼村厚範; 石井信; 石井信
        人工知能学会全国大会論文集(CD-ROM), 2017
      • Neural Sequence Model Training via α-divergence Minimization
        Sotetsu Koyamada; Yuta Kikuchi; Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        International Conference on Machine Learning (ICML) Workshop on Learning to Generate Natural Language, 2017, Peer-reviewed
      • ICML Workshop on Learning to Generate Natural Language (LGNL 2017)
        Koyamada,S; Kikuchi,Y; Kanemura,A; Ishii,S
        Neural sequence model training via α-divergence minimization, 2017
      • Efficient asymmetric co-Tracking using uncertainty sampling
        Kourosh Meshgi; Maryam Sadat Mirzaei; Shigeyuki Oba; Shin Ishii
        Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017, 2017, Peer-reviewed
      • Estimation of the Change of Agents Behavior Strategy Using State-Action History
        Shihori Uchida; Sigeyuki Oba; Shin Ishii
        Artificial Neural Networks and Machine Learning – ICANN 2017, 2017
      • Individual Identification by Resting-State EEG Using Common Dictionary Learning
        Takashi Nishimoto; Yoshiki Azuma; Hiroshi Morioka; Shin Ishii
        Artificial Neural Networks and Machine Learning – ICANN 2017, 2017
      • Robust discriminative tracking via query-by-bagging
        Kourosh Meshgi; Shigeyuki Oba; Shin Ishii
        2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug. 2016
      • Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking
        Kourosh Meshgi; Shin-Ichi Maeda; Shigeyuki Oba; Shin Ishii
        2016 13th Conference on Computer and Robot Vision (CRV), Jun. 2016, Peer-reviewed
      • Distributional Smoothing with Virtual Adversarial Training
        Miyato, T; Maeda, S; Koyama, M; Nakae, K; Ishii, S
        Proceedings of the International Conference on Learning Representations (ICLR2016), May 2016, Peer-reviewed
      • Bayesian Monte-Carlo tree search method and its application to linear constrained nonlinear control problems
        Ryo Otsuki; Shin-ichi Maeda; Shin Ishii
        電子情報通信学会技術研究報告IBISML, Mar. 2016
      • Descriptive, generative, and hybrid approaches for neural connectivity inference from neural activity data
        Baek, J; Oba, S; Yoshimoto, J; Doya, K; Ishii, S
        Proceeding of the CNS2016, 2016
      • Brain decoding can be improved by diffusion imaging based registration.
        Fuchigami, T; Shikauchi, Y; Nakae, K; Shikauchi, M; Ishii, S
        Proceeding of the 4th AINI 2016 and 14th INCF Nodes Workshop, 2016
      • Stochastic exploration policy considering reliability of value estimate
        Ryo Otsuki; Shin-ichi Maeda; Shin Ishii
        第58回自動制御連合講演会講演論文集, Nov. 2015
      • 分布の局所平滑化による正則化の提案
        宮戸岳; 前田新一; 小山雅典; 中江健; 石井信
        電子情報通信学会技術研究報告IBISML, Nov. 2015
      • Simulation of Neural Systems Based on Supercomputer
        ISHII Shin; Shin Ishii
        Journal of the Japanese Society for Artificial Intelligence, 01 Sep. 2015
      • Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy
        Takeshi Ogawa; Jun-ichiro Hirayama; Pankaj Gupta; Hiroki Moriya; Shumpei Yamaguchi; Akihiro Ishikawa; Yoshihiro Inoue; Motoaki Kawanabe; Shin Ishii
        2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2015
      • Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network
        JeongHun Baek; Shigeyuki Oba; Junichiro Yoshimoto; Kenji Doya; Shin Ishii
        NEURAL INFORMATION PROCESSING, PT III, Jun. 2015, Peer-reviewed
      • Expanding histogram of colors with gridding to improve tracking accuracy
        Kourosh Meshgi; Shin Ishii
        2015 14th IAPR International Conference on Machine Vision Applications (MVA), May 2015
      • Reconstruction of three-dimensional multi-finger movements from magnetoencephalography with a state transition model
        AZUMA Yoshiki; SHIKAUCHI Yumi; Nakamura Yutaka; HIRAYAMA Jun-ichiro; ISHII Shin
        IEICE technical report. ME and bio cybernetics, 16 Mar. 2015
      • システム神経科学スプリングスクール2015開催報告
        中江 健; 松田 道行; 石井 信; 本田 直樹; 浦久保 秀俊; 山尾 将隆; 近藤 洋平; 塚田 祐基; 小山 雅典; 村上 陽平; 松田 哲也
        日本神経回路学会誌, 2015
      • Inverse Reinforcement Learning Based on Behaviors of a Learning Agent
        Shunsuke Sakurai; Shigeyuki Oba; Shin Ishii
        Neural Information Processing, 2015
      • Principal Sensitivity Analysis
        Sotetsu Koyamada; Masanori Koyama; Ken Nakae; Shin Ishii
        Advances in Knowledge Discovery and Data Mining, 2015
      • Data-driven brain computer interface in real environments
        Shin Ishii
        The 3rd International Winter Conference on Brain-Computer Interface, Jan. 2015
      • Database-driven artifact detection method for EEG systems with few channels (DAD)
        Jamilah Abdur-Rahim; Takeshi Ogawa; Jun-ichiro Hirayama; Shin Ishii
        2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, Oct. 2014
      • Latent-space Modeling for Reconstruction from Time-series
        HIRAYAMA Jun-ichiro; ISHII Shin
        The Journal of the Institute of Electronics, Information, and Communication Engineers, May 2014
      • An explanation of an afterimage rotation illusion by focusing time of retinal ON/OFF response
        HAYASHI Yuichiro; URAKUBO Hidetoshi; ISHII Shin
        IEICE technical report. Neurocomputing, 17 Mar. 2014
      • Co-adaptation for BMI helicopter control
        SAKURAI Shunsuke; OBA Shigeyuki; ISHIl Shin
        IEICE technical report. Neurocomputing, 17 Mar. 2014
      • システム神経科学スプリングスクール2014開催報告
        中江 健; 本田 直樹; 浦久保 秀俊; 山尾 将隆; 近藤 洋平; 塚田 祐基; 石井 信
        日本神経回路学会誌, 2014
      • Construction of subject-independent brain decoders for human fMRI with deep learning
        Koyamada, S; Shikauchi, Y; Nakae, K; Ishii, S
        Proceedings of the International Conference on Data Mining, Internet Computing, and Big Data, 2014, Peer-reviewed
      • Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity
        Henrik Skibbe; Marco Reisert; Shin Ishii
        Lecture Notes in Computer Science, 2014
      • 状態非依存-時刻依存方策による学習の提案
        前田新一; 石井信
        第16回情報論的学習理論ワークショップ, Nov. 2013
      • A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration
        Atsunori Kanemura; Yoichi Morales; Motoaki Kawanabe; Hiroshi Morioka; Nagasrikanth Kallakuri; Tetsushi Ikeda; Takahiro Miyashita; Norihiro Hagita; Shin Ishii
        2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov. 2013
      • Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Object Tracking under Occlusion
        MESHGI Kourosh; LI Yu‐zhe; OBA Shigeyuki; MAEDA Shin‐ichi; ISHII Shin
        電子情報通信学会技術研究報告, 26 Aug. 2013
      • Basic Study on Auditory ERP-Based Brain-Machine Interface
        ISHIDO Natsumi; OGAWA Takeshi; MORIMOTO Satoshi; KANEMURA Atunori; MARUYAMA Masaki; KAWANABE Motoaki; ISHII Shin; SARUWATARI Hiroshi; NAKAMURA Satoshi; SHIKANO Kiyohiro
        Technical report of IEICE. EA, 18 Jul. 2013
      • システム神経科学スプリングスクール2013開催報告
        中江 健; 本田 直樹; 浦久保 秀俊; 山尾 将隆; 塚田 祐基; 石井 信
        日本神経回路学会誌 = The Brain & neural networks, 05 Jun. 2013
      • 吸収係数のエネルギー依存性を考慮したX線CTアルゴリズムの提案
        吉川大悟; 前田新一; 石井信
        第57回システム制御情報学会論文集, 336-2, 17 May 2013
      • Fusion of Multiple Cues from Color and Depth Domains using Occlusion Aware Bayesian Tracker
        K. Meshgi; S. Maeda; S. Oba; S. Ishii
        電子情報通信学会技術研究報告NC, 113(500), NC-2013-110, 18 Mar. 2013
      • 構造化階層的隠れマルコフモデルとスケルトンデータを用いた行動認識
        澤田智治; 前田新一; 石井信
        電子情報通信学会技術研究報告NC, 113(500), 305-310, NC-2013-141, 18 Mar. 2013
      • 不完全情報ゲームに対する階層化したモンテカルロ探索とそのぷよぷよへの適用
        大月龍; 前田新一; 石井信
        電子情報通信学会技術研究報告NC, 113(500), 275-280, NC-2013-136, 18 Mar. 2013
      • チェビシェフ多項式近似を用いた変分ベイズ法による顕微鏡画像の三次元超解像
        井本康宏; 前田新一; 石井信
        電子情報通信学会技術研究報告NC, 113(500), 133-138, NC-2013-111, 18 Mar. 2013
      • Decoding predicted scene within the brain
        SHIKAUCHI Yumi; ISHII Shin
        IEICE technical report. Neurocomputing, 13 Mar. 2013
      • Microscopic image restoration based on tensor factorization of rotated patches
        Masayuki Kouno; Ken Nakae; Shigeyuki Oba; Shin Ishii
        Artificial Life and Robotics, Feb. 2013
      • ベイズ推定による顕微鏡画像の深さ推定
        井本康宏; 前田新一; 石井信
        電子情報通信学会技術研究報告, 17 Jan. 2013
      • 協調行動学習における非定常性の重要性
        田和明洋; 前田新一; 石井信
        電子情報通信学会技術研究報告, 17 Jan. 2013
      • 経路積分強化学習による猫ひねり運動の制御
        中野太智; 前田新一; 石井信
        電子情報通信学会技術研究報告, 17 Jan. 2013
      • 聴覚注意を用いた実環境でのブレインマシンインタフェースに関する基礎検討
        石堂なつみ; 小川剛史; 森本智志; 兼村厚範; 丸山雅紀; 川鍋一晃; 石井信; 猿渡洋; 中村哲
        日本音響学会研究発表会講演論文集(CD-ROM), 2013
      • Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
        Yuya Okadome; Yutaka Nakamura; Yumi Shikauchi; Shin Ishii; Hiroshi Ishiguro
        Artificial Neural Networks and Machine Learning – ICANN 2013, 2013
      • システム神経生物学スプリングスクール2012開催報告
        本田 直樹; 中江 健; 行縄 直人; 山尾 将隆; 石井 信
        日本神経回路学会誌 = The Brain & neural networks, 05 Jun. 2012
      • Control of a Free-Falling Cat by Policy-Based Reinforcement Learning
        Daichi Nakano; Shin-ichi Maeda; Shin Ishii
        Artificial Neural Networks and Machine Learning – ICANN 2012, 2012
      • A sparse regression method to estimate neuronal structure from spike sequence
        Syunsuke Aki; Shigeyuki Oba; Ken Nakae; Shin Ishii
        PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 2012
      • Motion Compensated X-ray CT Algorithm for Moving Objects
        Takumi Tanaka; Shin-ichi Maeda; Shin Ishii
        2011 10th International Conference on Machine Learning and Applications and Workshops, Dec. 2011
      • Multi-scale, multi-modal neural modeling and simulation
        Shin Ishii; Markus Diesmann; Kenji Doya
        Neural Networks, Nov. 2011, Peer-reviewed
      • ネットワーク構造推定問題における同時多重性を考慮したグレンジャー因果推定の改良手法について (ニューロコンピューティング)
        播磨 輝; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告, 07 Mar. 2011
      • Theoretical modeling for axon guidance and polarization
        Naoki Honda; Makoto Nishiyama; Kyonsoo Hong; Shin Ishii
        NEUROSCIENCE RESEARCH, 2011
      • Localizing focal current sources from MEG data based on state-space approach
        Makoto Fukushima; Okito Yamashita; Atsunori Kanemura; Shin Ishii; Mitsuo Kawato; Masa-aki Sato
        NEUROSCIENCE RESEARCH, 2011
      • Multiple Granger causality tests for network structure estimation from time-series data
        Hikaru Harima; Shigeyuki Oba; Shin Ishii
        PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), 2011
      • A Simulation Study of Visual Perceptual Learning with Attentional Signals
        Satoshi Naito; Naoto Yukinawa; Shin Ishii
        PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), 2011, Peer-reviewed
      • Bayesian modeling of medical X-ray computed tomography
        MAEDA Shin-ichi; KANEMURA Atsunori; ISHII Shin
        IEICE technical report, 08 Nov. 2010
      • Bayesian Statistical Inference in Image Superresolution
        KANEMURA Atsunori; MAEDA Shin-ich; FUKUDA Wataru; ISHII Shin
        The Journal of the Institute of Electronics, Information and Communication Engineers, 01 Sep. 2010
      • Visual attention model involving feature-based inhibition of return
        Shinji Hotta; Shigeyuki Oba; Shin Ishii
        Artificial Life and Robotics, Sep. 2010
      • Neural representation of face perception in the fusiform face area
        M. Shikauchi; T. Shibata; S. Oba; S. Ishii
        Journal of Vision, 11 Aug. 2010
      • 混合事前分布を用いたベイズX線CT
        福田航; 前田新一; 兼村厚範; 石井信
        電子情報通信学会技術研究報告, 02 Mar. 2010, Peer-reviewed
      • 視覚的注意の移動特性における復帰抑制の影響
        堀田真路; 大羽成征; 大羽成征; 石井信
        電子情報通信学会技術研究報告, 02 Mar. 2010, Peer-reviewed
      • Bayesian modeling of medical X-ray computed tomography
        前田新一; 兼村厚範; 石井信
        電子情報通信学会技術研究報告, 2010
      • Restoration of 3d microscopic image stack by hierarchical estimation of diffusion tensor field
        Shigeyuki Oba; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • Human brain image registration for diffusion MRI data and neuro-fiber categorization
        Kevin C. Y. Chien; Shigeyuki Oba; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • A statistical method for defining two-point resolution in optical microscopy
        Tomohiro Noda; Shin Ishii; Shinichi Maeda
        NEUROSCIENCE RESEARCH, 2010
      • Separation of exploration and exploitation in maze navigation task
        Yumi Shikauchi; Masahiro Adomi; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • Neuronal network structure estimation by a modification of Granger
        Hikaru Harima; Shigeyuki Oba; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • A spiking neural network model of primary visual cortex for perceptual learning
        Satoshi Naito; Naoto Yukinawa; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • Multi-physical full-scale simulation for neuronal morphogenesis
        Seigo Nonaka; Naoki Honda; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • Learning spatio-temporal visual features by a large scale neural network model
        Naoto Yukinawa; Shin Ishii
        NEUROSCIENCE RESEARCH, 2010
      • Magnetoencephalography (MEG) source localization method with temporal smoothness constraint based on high-dimensional state space model
        Makoto Fukushima; Okito Yamashita; Shin Ishii; Mitsuo Kawato; Masa-aki Sato
        NEUROSCIENCE RESEARCH, 2010
      • Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers
        Jun-ichiro Hirayama; Aapo Hyvärinen; Shin Ishii
        Neural Information Processing. Theory and Algorithms, 2010
      • Hidden Markov Model for Human Decision Process in a Partially Observable Environment
        Masahiro Adomi; Yumi Shikauchi; Shin Ishii
        Artificial Neural Networks – ICANN 2010, 2010
      • Noise-Induced Collective Migration for Neural Crest Cells
        Masataka Yamao; Honda Naoki; Shin Ishii
        Artificial Neural Networks – ICANN 2010, 2010
      • Bayesian X-ray computed tomography using material class knowledge
        Wataru Fukuda; Shin-ichi Maeda; Atsunori Kanemura; Shin Ishii
        2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
      • Maximum a posteriori X-ray computed tomography using graph cuts
        Shin-ichi Maeda; Wataru Fukuda; Atsunori Kanemura; Shin Ishii
        INTERNATIONAL WORKSHOP ON STATISTICAL-MECHANICAL INFORMATICS 2010 (IW-SMI 2010), 2010, Peer-reviewed
      • X-ray computed tomography using material-class modeling by Markov random field energy minimization
        Fukuda,W; Maeda, S; Kanemura, A; Ishii, S
        Proceedings of the International Symosium on Artificial Life and Robotics, 2010, Peer-reviewed
      • A machine learning approach to 9-DOF arm robot control
        Nishioka, S; Maeda, S; Ueno, T; Ishiguro, H; Ishii, S
        Proceedings of the International Symosium on Artificial Life and Robotics, 2010, Peer-reviewed
      • Differential gene detection incorporating common expression patterns
        Shigeyuki Oba; Shin Ishii
        Journal of Physics: Conference Series, 01 Dec. 2009
      • ベイズ超解像における複数パッチを用いたレジストレーション
        福田航; 兼村厚範; 前田新一; 石井信
        日本神経回路学会全国大会講演論文集, 24 Sep. 2009, Peer-reviewed
      • 平均場近似を用いたHelmholtz Machineの学習
        青木佑紀; 前田新一; 石井信
        電子情報通信学会技術研究報告, 04 Mar. 2009, Peer-reviewed
      • 遮蔽物を含む画像からの超解像
        福田航; 兼村厚範; 前田新一; 石井信
        電子情報通信学会技術研究報告, 04 Mar. 2009, Peer-reviewed
      • 同時発音の相関を考慮した確率モデルによる音楽の和声推定
        寺村佳子; 前田新一; 石井信; 石井信
        電子情報通信学会技術研究報告, 04 Mar. 2009, Peer-reviewed
      • セミパラメトリック統計学に基づく価値関数推定
        植野剛; 川鍋一晃; 森健; 前田新一; 石井信
        電子情報通信学会技術研究報告, 04 Mar. 2009, Peer-reviewed
      • カラー画像拡大フィルタの疎ベイズ学習
        兼村厚範; 前田新一; 石井信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 04 Mar. 2009
      • ディリクレ過程混合ガウス分布による画像拡大フィルタの学習(ADS-1. 信号処理のための機械学習,シンポジウムセッション)
        兼村厚範; 前田新一; 石井信
        電子情報通信学会総合大会講演論文集, 04 Mar. 2009
      • 統計的手法を用いた視床軸索の形態予測
        内海将人; 作村諭一; 福西昭子; 山本亘彦; 石井信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 04 Mar. 2009
      • A Molecular system of somite segmentation in vertebrate development
        ISAKA Mikako; YAMAO Masataka; SAKUMURA Yuich; KIM Woong; MATSUI Takaaki; BESSHO Yasumasa; ISHII Shin
        IEICE technical report, 03 Mar. 2009
      • Adaptive particle allocation for multifocal visual attention based on particle filtering
        Naomi Yano; Tomohiro Shibata; Shin Ishii
        Artificial Life and Robotics, Mar. 2009
      • ARD事前分布を用いた確率的マージン最大化行列因子化法の提案と欠測予測(神経ダイナミクス,一般)
        古谷 允宏; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 12 Jan. 2009
      • Detailed Balance Learning によるマルコフ連鎖の学習
        前田新一; 青木佑紀; 石井信
        日本神経回路学会第19 回全国大会, 168-169, 2009, Peer-reviewed
      • ニューラルネットワークによる囲碁の盤面評価の学習
        富澤弘貴; 前田新一; 石井信
        日本神経回路学会第19 回全国大会, 168-169, 2009, Peer-reviewed
      • 特徴ベース復帰抑制に基づく視覚的注意モデル
        堀田真路; 大羽成征; 石井信
        日本神経回路学会第19 回全国大会, 94-95, 2009, Peer-reviewed
      • 神経膠腫の分子分類の試み
        白畑充章; 高橋潤; 大羽成征; 鐘本学; 荒川芳輝; 岸陽; 石井信; 宮本享; 加藤菊也
        日本臨床分子形態学会総会・学術集会講演プログラム・要旨集, 2009
      • Superresolution from Occluded Scenes
        Wataru Fukuda; Atsunori Kanemura; Shin-ich Maeda; Shin Ishii
        Neural Information Processing, 2009
      • Learning of Go Board State Evaluation Function by Artificial Neural Network
        Hiroki Tomizawa; Shin-ichi Maeda; Shin Ishii
        NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS, 2009, Peer-reviewed
      • Robust Approximation in Decomposed Reinforcement Learning
        Takeshi Mori; Shin Ishii
        NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS, 2009, Peer-reviewed
      • LEARNING COLOR IMAGE EXPANSION FILTERS
        Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, Peer-reviewed
      • Optimal Online Learning Procedures for Model-Free Policy Evaluation
        Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii
        MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 2009, Peer-reviewed
      • An Additive Reinforcement Learning
        Takeshi Mori; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2009, PT I, 2009, Peer-reviewed
      • Dynamic Exponential Family Matrix Factorization
        Kohei Hayashi; Jun-ichiro Hirayama; Shin Ishii
        ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, Peer-reviewed
      • On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration
        Justin Dauwels; Yuki Tsukada; Yuichi Sakumura; Shin Ishii; Kazuhiro Aoki; Takeshi Nakamura; Michiyuki Matsuda; Francois Vialatte; Andrzej Cichocki
        ADVANCES IN NEURO-INFORMATION PROCESSING, PT I, 2009, Peer-reviewed
      • Interpreting Dopamine Activities in Stochastic Reward Tasks
        Akiyo Asahina; Jun-ichiro Hirayama; Shin Ishii
        ADVANCES IN NEURO-INFORMATION PROCESSING, PT I, 2009, Peer-reviewed
      • A Closed-Form Estimator of Fully Visible Boltzmann Machines
        Jun-ichiro Hirayama; Shin Ishii
        ADVANCES IN NEURO-INFORMATION PROCESSING, PT II, 2009, Peer-reviewed
      • ダイナミクスを考慮したソースフィルタモデルの推定(音響信号処理)
        井原瑞希; 前田新一; 石井信
        情報処理学会研究報告. [音楽情報科学], 12 Dec. 2008
      • ベイズ超解像と階層モデリング
        兼村厚範; 福田航; 前田新一; 石井信
        日本神経回路学会誌 = The Brain & neural networks, 05 Sep. 2008
      • 検定多重性とサンプル個性を利用した臨床ラベル関連遺伝子探索(機械学習によるバイオデータマインニング・生命現象の非線形性,機械学習によるバイオデータマインニング・生命現象の非線形性,一般)
        大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NLP, 非線形問題, 19 Jun. 2008
      • 検定多重性とサンプル個性を利用した臨床ラベル関連遺伝子探索(3研究会合同企画セッション[1])
        大羽 成征; 石井 信
        情報処理学会研究報告. BIO, バイオ情報学, 19 Jun. 2008
      • Bayesian Image Superresolution under Moving Occlusion
        FUKUDA Wataru; MAEDA Shin-ichi; KANEMURA Atsunori; ISHII Shin
        IEICE technical report, 05 Mar. 2008
      • 多重検定におけるODP統計量の有効な推定
        野村啓仁; 大羽成征; 石井信
        電子情報通信学会技術研究報告, 05 Mar. 2008, Peer-reviewed
      • Adaptive control of a looper-like robot based on the CPG-actor-critic method
        Kenji Makino; Yutaka Nakamura; Tomohiro Shibata; Shin Ishii
        Proceedings of the International Symposium on Artificial Life and Robotics, GS24-2, Mar. 2008
      • 実画像からの重なり合ったひも状オブジェクトの認識(機械学習,一般)
        前田 くれあ; 大羽 成征; 行縄 直人; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 08 Jan. 2008
      • Bayesian Image Superresolution under Moving Occlusion
        福田航; 前田新一; 兼村厚範; 石井信
        電子情報通信学会技術研究報告, 2008
      • 疎ベイズ解像度合成
        兼村厚範; 前田新一; 石井信
        日本神経回路学会全国大会講演論文集, 2008
      • Boosting perceptual learning by manipulated feedback
        Kazuhisa Shibata; Shin IShii; Noriko Yamagishi; Mitsuo Kawato
        NEUROSCIENCE RESEARCH, 2008
      • TERNARY BRADLEY-TERRY MODEL-BASED DECODING FOR MULTI-CLASS CLASSIFICATION
        Takashi Takenouchi; Shin Ishii
        2008 IEEE WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2008, Peer-reviewed
      • Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments
        Yu Hiei; Takeshi Mori; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I, 2008, Peer-reviewed
      • A Continuous Internal-State Controller for Partially Observable Markov Decision Processes
        Yuki Taniguchi; Takeshi Mori; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I, 2008, Peer-reviewed
      • A semi-parametric statistical approach to model-free policy evaluation
        Ueno, T; Kawanabe, M; Mori, T; Maeda, S; Ishii, S
        Proceedings of the 25th International Conference on Machine Learning, 2008, Peer-reviewed
      • Heterogeneous component analysis
        Oba, S; Kawanabe, M; Mueller, K.-R; Ishii, S
        Proceedings of the Advances in Neural Information Processing Systems 21, 2008, Peer-reviewed
      • Active sampling based on Gaussian process for reinforcement learning
        Takeda, K; Mori, T; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Continuous internal-state controller for a partially observable linear dynamical system
        Taniguchi, Y; Mori, T; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • An effective reinforcement learning with automatic construction of basis functions and sequential approximation
        Nanjoh, N; Mori, T; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Collaborative filtering based on a weighted maximum margin matrix factorization
        Furuya, M; Oba, S; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Detection of multiple overlapping string-shaped objects using spectral clustering
        Maeda, C; Oba, S; Yukinawa, N; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • A unified approach to collaborative and feature-based recommendation based on probabilistic latent semantic models
        Ishihara, A; Hirayama, J; Takenouchi, T; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Two-way factor analysis for missing value estimation of matrix data
        Sodebayashi, K; Oba, S; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Re-weighted ODP for differential gene expression analysis
        Nomura, H; Oba, S; Ishii, S
        Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, Peer-reviewed
      • Quantitative morphodynamic analysis of time-lapse imaging by edge evolution tracking
        Yuki Tsukada; Yuichi Sakumura; Shin Ishii
        NEURAL INFORMATION PROCESSING, PART II, 2008, Peer-reviewed
      • Bayesian collaborative predictors for general user modeling tasks
        Jun-ichiro Hirayama; Masashi Nakatomi; Takashi Takenouchi; Shin Ishii
        NEURAL INFORMATION PROCESSING, PART I, 2008, Peer-reviewed
      • Optimization of parametric companding function for an efficient coding
        Shin-ichi Maeda; Shin Ishii
        NEURAL INFORMATION PROCESSING, PART I, 2008, Peer-reviewed
      • Visual tracking achieved by adaptive sampling from hierarchical and parallel predictions
        Tomohiro Shibata; Takashi Bando; Shin Ishii
        NEURAL INFORMATION PROCESSING, PART I, 2008, Peer-reviewed
      • アレイ比較ゲノムデータ正規化手法Combfitについて(セッション1:『機械学習によるバイオデータマインニング』)
        大羽 成征; 富岡 伸元; 大平 美紀; 石井 信
        情報処理学会研究報告. BIO, バイオ情報学, 14 Jun. 2007
      • Dynamic and Cooperative Interaction with a Robot by Measurement of User's Biological Signals
        TAMEI Tomoya; ISHII Shin; SHIBATA Tomohiro
        IEICE technical report, 14 May 2007
      • Learning of a robust controller for a biped robot based on a sample-reuse reinforcement learning method
        UENO Tsuyoshi; NAKAMURA Yutaka; TAKUMA Takashi; SHIBATA Tomohiro; HOSODA Koh; ISHII Shin
        IEICE technical report, 07 Mar. 2007
      • Acquiring vermicular motion of a Looper-like robot based on the CPG-Actor-Critic method
        MAKINO Kenji; NAKAMURA Yutaka; SHIBATA Tomohiro; ISHII Shin
        IEICE technical report, 07 Mar. 2007
      • 確率モデルに基づく2値分類から多値分類へのデコード(情報物理学の数学的構造)
        石井 信
        数理解析研究所講究録, 2007
      • Combining multiple decisions: applications to bioinformatics 2007
        N Yukinawa; T Takenouchi; S Oba; S Ishii
        The International Workshop on Statistical-Mechanical Informatics, 2007
      • Image superresolution under spatially structured noise
        Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3, 2007, Peer-reviewed
      • Instrument identification in monophonic music using spectral information
        Mizuki Ihara; Shin-ichi Maeda; Shin Ishii
        2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3, 2007, Peer-reviewed
      • A multi-class classification with a probabilistic localized decoder
        Takashi Takenouchi; Shin Ishii
        2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3, 2007, Peer-reviewed
      • Edge-preserving Bayesian image superresolution based on compound Markov random fields
        Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 2, PROCEEDINGS, 2007, Peer-reviewed
      • Reinforcement learning for cooperative actions in a partially observable multi-agent system
        Yuki Taniguchi; Takeshi Mori; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 1, PROCEEDINGS, 2007, Peer-reviewed
      • Convergence analysis of the em algorithm and joint minimization of free energy
        Shin-Ichi Maeda; Shin Ishii
        Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, 2007, Peer-reviewed
      • Hyperparameter estimation in Bayesian image superresolution with a compound markov random field prior
        Atsunori Kanemura; Shin-Ichi Maeda; Shin Ishii
        Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, 2007, Peer-reviewed
      • Dynamic and cooperative interaction with a robot that possesses no force/tactile sensors
        Tamei, T; Ishii, S; Shibata, T
        Proceedings of the 13th International Conference on Advanced Robotics, 2007, Peer-reviewed
      • Estimation of the source-filter model using temporal dynamics
        Mizuki Ihara; Shin-ichi Maeda; Shin Ishii
        2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, Peer-reviewed
      • A probabilistic decoding approach to multi-class classification
        Takashi Takenouchi; Shin Ishii
        2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, Peer-reviewed
      • Multiclass classification as a decoding problem
        Takashi Takenouchi; Shin Ishii
        2007 IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE, VOLS 1 AND 2, 2007, Peer-reviewed
      • A probabilistic model of MOSAIC
        Satoshi Osaga; Jun-ichiro Hirayama; Takashi Takenouchi; Shin Ishii
        2007 IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE, VOLS 1 AND 2, 2007, Peer-reviewed
      • On-line variational PCA for adaptive visual tracking
        Date, T; Bando, T; Shibata, T; Ishii, S
        Proceedings of the International Symposium on Artificial Life and Robotics, 2007, Peer-reviewed
      • A probabilistic model of MOSAIC
        Satoshi Osaga; Jun-ichiro Hirayama; Takashi Takenouchi; Shin Ishii
        2007 IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE, VOLS 1 AND 2, 2007, Peer-reviewed
      • Estimation of source-filter model via acoustical feature extraction by GA-like algorithm
        Ihara, M; Maeda, S; Ishii, S
        Proceedings of the International Symposium on Artificial Life and Robotics, 2007, Peer-reviewed
      • A multi-labeled classification based on error-correcting output coding
        Yamashita, T; Takenouchi, T; Ishii, S
        Proceedings of the International Symposium on Artificial Life and Robotics, 2007, Peer-reviewed
      • 単旋律楽曲における機械学習を用いた楽器音の音源同定
        井原瑞希; 前田新一; 石井信
        Proceedings of the 26th Meeting of Special Interest Group on AI Challenges, 2007, Peer-reviewed
      • 隠れ変数モデルに基づく同時検定用統計量最適化
        大羽成征; 石井信
        2007年情報的学習理論ワークショップ予稿集, 2007, Peer-reviewed
      • 二方向因子分析による行列データの欠損予測
        袖林和広; 大羽成征; 石井信
        2007年情報的学習理論ワークショップ予稿集, 2007, Peer-reviewed
      • 強化学習と脳における報酬系の情報処理(脳化学2,数学者のための分子生物学入門-新しい数学を造ろう-)
        石井 信; 柴田 和久
        物性研究, 20 Dec. 2006
      • 24OP1-22 アレイCGHと発現マイクロアレイを組み合わせた神経芽腫の新しいリスク分類の試み(ポスター NBL(基礎),第22回日本小児がん学会 第48回日本小児血液学会 第4回日本小児がん看護研究会 同時期開催)
        中川原 章; 富岡 伸元; 大羽 成征; 中村 洋子; 好田 忠行; 吉田 安子; 藤堂 省; Burt Feuerstein; 石井 信; 大平 美紀
        小児がん : 小児悪性腫瘍研究会記録, 24 Nov. 2006
      • 24OP1-3 神経芽腫のDNAミニチップに基づいた新しい診断法の開発とclinical validation(ポスター NBL(基礎),第22回日本小児がん学会 第48回日本小児血液学会 第4回日本小児がん看護研究会 同時期開催)
        大平 美紀; 大羽 成征; 中村 洋子; 磯貝 恵理子; 好田 忠行; 渕岡 美佐; 吉田 安子; 石井 信; 中川原 章
        小児がん : 小児悪性腫瘍研究会記録, 24 Nov. 2006
      • 染色体異常に対する混合木モデルの紹介とその改良(遺伝子発現・ネットワーク)
        山本 幸生; 大羽 成征; 石井 信
        情報処理学会研究報告. BIO, バイオ情報学, 15 Sep. 2006
      • Feature Extraction for Decision-Theoretic Planning in Partially Observable Stochastic Domains
        FUJITA Hajime; NAKAMURA Yutaka; ISHII Shin
        IEICE technical report, 09 Jun. 2006
      • An application of reinforcement learning with consideration of modeling error
        TOKITA Yoichi; NAKAMURA Yutaka; YOSHIMOTO Junichiro; ISHII Shin
        IEICE technical report, 17 Mar. 2006
      • Hidden State Estimation Based on Mixture Kalman Filters : Application to Self-Localization of Cyber Rodent
        MAGONO Michiyuki; YOSHIMOTO Junichiro; ISHII Shin; DOYA Kenji
        IEICE technical report. Neurocomputing, 08 Mar. 2006
      • アレイCGH解析による神経芽腫の層別化と,予後関連領域の解析
        富岡 伸元; 大平 美紀; 大羽 成征; Pinkel Dan; Albertson Donna; 藤堂 省; 平田 隆洋; 石井 信; Feuerstein Burt; 中川 原章
        日本外科学会雑誌, 05 Mar. 2006
      • Control of Learning Dynamics and Function of Neuromodulators
        銅谷賢治; 銅谷賢治; 銅谷賢治; 石井信
        システム/制御/情報, 2006
      • 18.肝芽腫におけるアレイCGHの解析 : 予後診断チップの開発へ向けた試み(日本小児肝癌スタディグループ研究会2006,研究会)
        二村 好憲; 大平 美紀; 鈴木 郁美; 大羽 成征; 石井 信; 富岡 伸元; 檜山 英三; 松永 正訓; 林 富; 安藤 久實; 水田 祥代; 堀江 弘; 金子 道夫; 佐々木 文章; 橋都 浩平; 大沼 直躬; Feuerstein Burt; 中川原 章
        小児がん : 小児悪性腫瘍研究会記録, 2006
      • 24OP6-4 肝芽腫におけるアレイCGH・cDNAマイクロアレイ解析(ポスター 肝芽腫,第22回日本小児がん学会 第48回日本小児血液学会 第4回日本小児がん看護研究会 同時期開催)
        二村 好憲; 鈴木 郁美; 富岡 伸元; 大羽 成征; 大平 美紀; 藤堂 省; 松永 正訓; 林 富; 安藤 久實; 田口 智章; 堀江 弘; 金子 道夫; 橋都 浩平; 佐々木 文章; 大沼 直躬; 檜山 英三; 好田 忠行; Burt Feuerstein; 石井 信; 中川原 章
        小児がん : 小児悪性腫瘍研究会記録, 2006
      • Fast and stable learning of quasi-passive dynamic walking by an unstable biped robot based on off-policy natural actor-critic
        Tsuyoshi Ueno; Yutaka Nakamura; Takashi Takuma; Tomohiro Shibata; Koh Hosoda; Shin Ishii
        2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, Peer-reviewed
      • Feature extraction for decision-theoretic planning in partially observable environments
        Hajime Fujita; Yutaka Nakamura; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1, 2006, Peer-reviewed
      • Semi-supervised significance score of differential gene expressions
        Shigeyuki Oba; Shin Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2, 2006, Peer-reviewed
      • Bayesian super-resolution with a smooth-gap model
        Kanemura, A; Maeda, S; Ishii, S
        Proceedings of the ECCV Workshop on Statistical Methods in Multi-Image and Video Processing, 2006, Peer-reviewed
      • Development of learning support system for piano-keying - relationship between the activity of finger muscles and key release velocities of an expert -
        Tamei, T; Shibata, T; Ishii, S
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • Prediction of the aperiodic time series of a visual target by humans
        Shikauchi, M; Ishii, S; Shibata, T
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • Reinforcement learning of switching multiple controllers to control a real robot
        Tokita, Y; Nakamura, Y; Yoshimoto, J; Ishii, S
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • A Bayesian approach to blind source separation with variable number of sources
        Hirayama, J; Maeda, S; Ishii, S
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • Natural policy gradient reinforcement learning method for a looper-like robot
        Nakamura, Y; Mori, T; Ishii, S
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • Model-based reinforcement learning for large-scale multi-agent games with sampling-based state estimation
        Fujita, H; Ishii, S
        Proceedings of the 11th international symposium on Artificial Life and Robotics, 2006, Peer-reviewed
      • W1-1 神経芽腫のリスク分類にむけて : マイクロアレイ技術による新戦略(合同ワークショップ 難治性小児がん・白血病の治療戦略,第21回日本小児がん学会 第47回日本小児血液学会 同時期開催)
        大平 美紀; 大羽 成征; 富岡 伸元; 中村 洋子; 磯貝 恵理子; 平田 隆洋; 石井 信; 中川原 章
        小児がん : 小児悪性腫瘍研究会記録, 25 Nov. 2005
      • A Selection Criterion for Robust Classifiers by Considering the Variance of Test Performance
        SUZUKI Ikumi; OBA Shigeyuki; HIRAYAMA Junichiro; ISHII Shin
        IEICE technical report, 11 Nov. 2005
      • 二値分類器集合による遺伝子発現プロファイルからの癌サブクラス識別法(バイオインフォマティックス(1))
        行縄 直人; 大羽 成征; 加藤 菊也; 石井 信
        情報処理学会研究報告. BIO, バイオ情報学, 25 Jul. 2005
      • Off-Policy Natural Actor-Critic
        MORI Takeshi; NAKAMURA Yutaka; ISHII Shin
        IEICE technical report. Neurocomputing, 20 Jul. 2005
      • Learning of Qusasi-Passive Dynamic Walking by a Stochastic Policy Gradient Method
        HITOMI Kentarou; SHIBATA Tomohiro; NAKAMURA Yutaka; ISHII Shin
        IEICE technical report. Neurocomputing, 20 Jul. 2005
      • Super-resolution with Smooth-Gap Prior
        KANEMURA Atsunori; MAEDA Shinichi; ISHII Shin
        IEICE technical report. Neurocomputing, 16 Jun. 2005
      • Fundamental Theory and Application of Reinforcement Learning
        YOSHIMOTO Junichiro; DOYA Kenji; ISHII Shin
        計測と制御 = Journal of the Society of Instrument and Control Engineers, 10 May 2005
      • 二値分類器組み合わせの確率モデルに基づく多クラスパターン識別
        行縄 直人; 大羽 成征; 加藤 菊也; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 23 Mar. 2005
      • An off-policy reinforcement learning method based on a natural policy gradient method
        NAKAMURA Yutaka; ISHII Shin
        IEICE technical report. Neurocomputing, 22 Mar. 2005
      • 混合 von Mises-Fisher 分布の変分ベイズ推定について
        田辺 昭博; 福水 健次; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 21 Mar. 2005
      • Super-resolution with Smooth-Gap Prior
        兼村厚範; 前田新一; 石井信
        電子情報通信学会技術研究報告, 2005
      • Extended force/tactile senses of machines by measurement of user’s biological signals
        Nomura, T; Shibata, T; Tamei, T; Ishii, S
        Proceedings of the 36th International Symposium on Robotics, 2005, Peer-reviewed
      • Multi-scale clustering for gene expression profiling data
        S Oba; K Kato; S Ishii
        BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering, 2005, Peer-reviewed
      • Localization of cyber rodent based on mixture Kalman filters
        Magono, M; Yoshimoto, J; Ishii, S; Doya, K
        Proceedings of the 2005 International Symposium on Nonlinear Theory and its Applications, 2005, Peer-reviewed
      • Local signaling with diffusion process as a decorder of Ca2+ signals in synaptic plasticity
        Honda, N; Sakumura, Y; Ishii, S
        Proceedings of the Assembly and Function of Neuronal Circuits, 2005, Peer-reviewed
      • Model-based reinforcement learning for a multi-player card game with partial observability
        H Fujita; S Ishii
        2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Proceedings, 2005, Peer-reviewed
      • An off-policy natural policy gradient method for a partial observable Markov decision process
        Y Nakamura; T Mori; S Ishii
        ARTIFICIAL NEURAL NETWORKS: FORMAL MODELS AND THEIR APPLICATIONS - ICANN 2005, PT 2, PROCEEDINGS, 2005, Peer-reviewed
      • Multi-class pattern classification based on a probabilistic model of combining binary classifiers
        N Yukinawa; S Oba; K Kato; S Ishii
        ARTIFICIAL NEURAL NETWORKS: FORMAL MODELS AND THEIR APPLICATIONS - ICANN 2005, PT 2, PROCEEDINGS, 2005, Peer-reviewed
      • On-line learning of a feedback controller for Quasi-Passive-Dynamic Walking by a stochastic policy gradient method
        K Hitomi; T Shibata; Y Nakamura; S Ishii
        2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2005, Peer-reviewed
      • Reinforcement learning of stable trajectory for quasi-passive-dynamic walking
        Hitomi, K; Shibata, T; Nakamura, Y; Ishii, S
        Proceedings of the Modeling Natural Action Selection: Proceedings of an International Workshop, 2005, Peer-reviewed
      • Bayesian noisy ICA for source switching environments
        Jun-ichiro Hirayama; Shin-ichi Maeda; Shin Ishii
        2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2, 2005, Peer-reviewed
      • Prediction-based optimal controls in artificial and real intelligences
        Ishii, S
        Proceedings of the International Symposium on The Art of Statistical Metaware, 2005, Peer-reviewed, Invited
      • Gradual emergence of communication in a multi-agent environment
        Tensho, S; Maekawa, S; Yoshimoto, J; Shibata, T; Ishii, S
        Proceedings of the 10th International Symposium on Artificial Life and Robotics, 2005, Peer-reviewed
      • 変動する環境下での独立成分分析と変分ベイズ法による解法
        平山淳一郎; 前田新一; 石井信
        第8回情報的学習理論ワークショップ予稿集, 2005, Peer-reviewed, Invited
      • 効率の良いノイズ付き独立成分分析のアルゴリズム
        前田新一; 石井信
        第8回情報的学習理論ワークショップ予稿集, 2005, Peer-reviewed
      • System Identification of Gene Expression Time-series based on a Linear Dynamical System Model with Variational Bayesian Estimation
        YUKINAWA NAOTO; YOSHIMOTO JUN-ICHIRO; OBA SHIGEYUKI; ISHII SHIN
        IPSJ SIG Notes, 13 Sep. 2004
      • A reinforcement learning for a policy involving value-directed internal state
        NAKAMURA Yutaka; ISHII Shin
        IEICE technical report. Neurocomputing, 18 Jun. 2004
      • 高次元超球面上のカーネル密度推定とモード検出
        大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 18 Jun. 2004
      • Reinforcement learning based on a policy gradient method for biped locomotion
        MORI Takeshi; NAKAMURA Yutaka; ISHII Shin
        IEICE technical report. Neurocomputing, 12 Mar. 2004
      • A Statistical Identification Method for Environmental Models of Mobile Robots
        KANEMOTO Katsuyoshi; YOSHIMOTO Junichiro; ISHII Shin
        IEICE technical report. Neurocomputing, 12 Mar. 2004
      • A Solving Method for Markov Decision Processes by Minimizing Variational Free Energy
        YOSHIMOTO Junichiro; ISHII Shin
        IEICE technical report. Neurocomputing, 12 Mar. 2004
      • 遺伝子発現データに対するクラスタの有意性検定(文字とドキュメントの認識・理解))
        川瀬 奈都子; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解, 13 Feb. 2004
      • 強化学習の脳内機構と情動による制御
        吉田和子; 石井信
        心理学評論, 2004
      • Acrobot control by learning the switching of multiple controllers
        Nishimura, M; Yoshimoto, J; Ishii, S
        Proceedings of the Ninth International Symposium on Artificial Life and Robotics, 2004
      • Switching particle filters for efficient real-time visual tracking
        T Bando; T Shibata; K Doya; S Ishii
        PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 2004, Peer-reviewed
      • Reinforcement learning for a snake-like robot controlled by a central pattern generator
        S Fukunaga; Y Nakamura; K Aso; S Ishii
        2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, Peer-reviewed
      • Character string extraction from color documents using supervised learning
        Ogura, T; Hasegawa, F; Oba, S; Miyazawa, T; Ishii, S
        Proceedings of the 2004 International Symposium on Nonlinear Theory and its Applications, 2004, Peer-reviewed
      • Modeling gene expression dynamics based on a linear dynamical system model
        Yukinawa, N; Yoshimoto, J; Oba, S; Ishii, S
        Proceedings of the 2004 International Symposium on Nonlinear Theory and its Applications, 2004, Peer-reviewed
      • The role of short term depression for sustained neural activities in the prefrontal cortex: a simulation study
        Igarashi, Y; Sakumura, Y; Ishii, S
        Proceedings of the 2004 International Symposium on Nonlinear Theory and its Applications, 2004, Peer-reviewed
      • Reinforcement learning for a snake-like robot
        Fukunaga, S; Nakamura, Y; Aso, K; Ishii, S
        Proceedings of the 2004 International Symposium on Nonlinear Theory and its Applications, 2004, Peer-reviewed
      • An imaging study on human action selection using hierarchical rules
        Funakoshi, H; Yoshida, W; Ishii, S
        Proceedings of the 3rd International Conference on Development and Learning (ICDL), 2004, Peer-reviewed
      • A noisy nonlinear independent component analysis
        S Ma; S Ishii
        MACHINE LEARNING FOR SIGNAL PROCESSING XIV, 2004, Peer-reviewed
      • Natural policy gradient reinforcement learning for a CPG control of a biped robot
        Y Nakamura; T Mori; S Ishii
        PARALLEL PROBLEM SOLVING FROM NATURE - PPSN VIII, 2004, Peer-reviewed
      • Cortical representation learning regulated by acetylcholine
        Hirayama, J; Yoshimoto, J; Ishii, S
        Proceedings of the Brain Inspired Cognitive Systems, 2004, Peer-reviewed
      • Switching particle filters for efficient real-time visual tracking
        T Bando; T Shibata; K Doya; S Ishii
        PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 2004, Peer-reviewed
      • A solving method for MDPs by minimizing variational free energy
        J Yoshimoto; S Ishii
        2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, Peer-reviewed
      • Reinforcement learning for a CPG-driven biped robot
        T Mori; Y Nakamura; M Sato; S Ishii
        PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2004, Peer-reviewed
      • A reinforcement learning scheme for a multi-agent card game with Monte Carlo state estimation
        Fujita, H; Ishii, S
        Proceedings of the International Conference on Computational Intelligence for Modelling Control and Automation, 2004, Peer-reviewed
      • Application of multivariate autoregressive modeling for analyzing the interaction between EEG and EMG in humans
        T Shibata; Y Suhara; T Oga; Y Ueki; T Mima; S Ishii
        FRONTIERS IN HUMAN BRAIN TOPOGRAPHY, 2004, Peer-reviewed
      • Optimization of product code
        Maeda, S; Ishii, S
        Proceedings of the WSEAS Transactions on Systems, 2004, Peer-reviewed
      • A probabilistic approach to identify environmental models of mobile robots
        Kanemoto, K; Yoshimoto, J; Ishii, S
        Proceedings of the 9th International Symposium on Artificial Life and Robotics, 2004, Peer-reviewed
      • 超球面上のカーネル密度推定
        大羽成征; 石井信
        2004年情報的学習理論ワークショップ(IBIS2004), 2004, Peer-reviewed
      • 内部状態を持つ方策に対する自然方策勾配法に基づいた強化学習法
        中村泰; 石井信
        2004年情報的学習理論ワークショップ(IBIS2004), 2004, Peer-reviewed
      • 混合von Mises-Fisher 分布に対する変分法的ベイズ推定
        田辺昭博; 福水健次; 大羽成征; 石井信
        2004年情報的学習理論ワークショップ(IBIS2004), 2004, Peer-reviewed
      • 学習係数の自動調整を行う非線形ノイズあり独立成分分析
        前田新一; 石井信
        2004年情報的学習理論ワークショップ(IBIS2004), 2004, Peer-reviewed
      • Nonlinear control by learning the switching of multiple controllers
        NISHIMURA Masaya; YOSHIMOTO Junichiro; Ishii Shin
        IEICE technical report. Neurocomputing, 14 Nov. 2003
      • 背景ノイズの評価に基く遺伝子発現量データのクラスタ解析
        大羽 成征; 石井 信
        日本統計学会講演報告集, 01 Sep. 2003
      • DNAマイクロアレイデータによるオペロン構造予測 : ベイズ的階層モデルを応用したアプローチ(バイオインフォマティクスとパターン認識)
        清水 仁; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解, 19 Jun. 2003
      • PCR-arrayを利用した肝細胞癌の悪性度診断 : 術後早期残肝再発危険群の予測から
        黒川 幸典; 的場 亮; 中森 正二; 永野 浩昭; 堂野 恵三; 梅下 浩司; 左近 賢人; 大羽 成征; 石井 信; 加藤 菊也; 門田 守人
        日本外科学会雑誌, 30 Apr. 2003
      • Identification of Partially Observable Environment Based on On-Line Variational Bayes Method and Its Application to Reinforcement Learning
        YOSHIMOTO Junichiro; ISHII Shin; SATO Masa-aki
        IEICE technical report. Neurocomputing, 12 Mar. 2003
      • An actor-critic method based on stochastic policy gradient and its application to control of a continuous system
        MORI Takeshi; YOSHIMOTO Junichiro; ISHII Shin
        IEICE technical report. Neurocomputing, 12 Mar. 2003
      • ベイズ的主成分分析の事前分布ハイパーパラメータについて
        大羽 成征; 佐藤 雅昭; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 10 Mar. 2003
      • An analysis of human pointing motion by online Bayes method
        NAKAMURA Yutaka; OBA Shigeyuki; YOSHIMOTO Junichiro; ISHII Shin
        IEICE technical report. Neurocomputing, 10 Mar. 2003
      • 多段階手続きによる日本語活字文字認識
        伊藤 仁志; 大羽 成征; 山形 秀明; 石井 信
        電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解, 06 Mar. 2003
      • A reinforcement learning scheme for a multi-agent card game
        H Fujita; Y Matsuno; S Ishii
        2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, Peer-reviewed
      • Prior hyperparameters in Bayesian PCA
        S Oba; M Sato; S Ishii
        ARTIFICAIL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003, 2003, Peer-reviewed
      • System identification based on online variational bayes method and its application to reinforcement learning
        J Yoshimoto; S Ishii; MA Sato
        ARTIFICAIL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003, 2003, Peer-reviewed
      • A model-based reinforcement learning: a computational model and an fMRI study
        Yoshida, W; Ishii, S
        Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003, Peer-reviewed
      • Reinforcement learning for biped robot
        Nakamura, Y; Sato, M; Ishii, S
        Proceedings of the 2nd International Symposium on Adaptive Motion of Animals and Machines, 2003, Peer-reviewed
      • 統計的関数近似によるシステム同定と強化学習
        石井信
        日本鉄鋼協会春季講演大会, 材料とプロセス(CAMP-ISIJ), 2003, Peer-reviewed, Invited
      • 混合主成分分析モデルによる欠測データ予測
        大羽成征; 佐藤雅昭; 石井信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 12 Mar. 2002
      • 変分ベイズ法による遺伝子発現データのクラスタリング
        吉岡 琢; 森岡 涼子; 小林 和夫; 大羽 成征; 小笠原 直毅; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 12 Mar. 2002
      • Acquisition of locomotion by reinforcement learning using neural oscillator network
        NAKAMURA Yutaka; ISHII Shin; SATO Masa-aki
        IEIC Technical Report (Institute of Electronics, Information and Communication Engineers), 11 Mar. 2002
      • 正規化ガウス関数ネットワークの変分法的ベイズ学習
        石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 22 Jan. 2002
      • Change in the single spike response of the Hodgkin-Huxley neuron based on excitatory and inhibitory background inputs
        Kuboshima Satoko; Amemori Ken-ichi; Sakumura Yuichi; Ishii Shin
        IEICE technical report. Neurocomputing, Jan. 2002
      • Clustering for time-series gene expression data using mixture of constrained PCAS
        T Yoshioka; S Ishii
        ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, 2002, Peer-reviewed
      • Emergence of communication protocol from agents’ experiences
        Tamakoshi, H; Ishii, S
        Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning, 2002, Peer-reviewed
      • The differential operation by neural assembly
        Sakumura, Y; Ishii, S
        Proceedings of the 2002 International Symposium on Nonlinear Theory and its Applications, 2002, Peer-reviewed
      • Reinforcement learning for biped locomotion
        M Sato; Y Nakamura; S Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, Peer-reviewed
      • Hierarchical model selection for NGnet based on variational Bayes inference
        J Yoshimoto; S Ishii; M Sato
        ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, Peer-reviewed
      • Clustering of gene expression data by mixture of PCA models
        T Yoshioka; R Morioka; K Kobayashi; S Oba; N Ogawsawara; S Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, Peer-reviewed
      • Missing value estimation using mixture of PCAs
        S Oba; M Sato; Takemasa, I; M Monden; K Matsubara; S Ishii
        ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, Peer-reviewed
      • An auditory system for efficient coding of natural sounds
        S Maeda; S Ishii
        PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, Peer-reviewed
      • An auditory system based on redundancy reduction
        Maeda, S.-i; Ishii, S
        第5回情報論的学習理論ワークショップ(IBIS2002), 2002, Peer-reviewed
      • 制約付き混合主成分分析による時系列データのクラスタリング
        吉岡琢; 石井信
        第5回情報論的学習理論ワークショップ(IBIS2002), 2002, Peer-reviewed
      • 不観測変数の推定と遺伝子発現データへの応用
        石井信
        第5回情報論的学習理論ワークショップ(IBIS2002), 2002, Peer-reviewed, Invited
      • ガウス過程法のオンライン学習
        大羽 成征; 石井 信; 佐藤 雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 20 Jul. 2001
      • A multi-agent reinforcement learning method with learning of other agents for competitive game
        MATSUNO Yoichiro; YAMAZAKI Tatsuya; MATSUDA Jun; ISHII Shin
        IEICE technical report. Neurocomputing, 16 Mar. 2001
      • 線形非定常力学系同定のためのオンラインEMアルゴリズム
        岡 充; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NLP, 非線形問題, 10 Mar. 2001
      • 変分法的オンラインベイズ学習による関数近似
        石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 01 Feb. 2001
      • Resonance of a stochastic spiking neuron mimicking the Hodgkin-Huxley model
        Amemori, K.-I.; Ishii, S.
        Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2001, Peer-reviewed
      • Gaussian process approach to stochastic spiking neurons with reset
        Amemori, K.-I.; Ishii, S.
        Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2001, Peer-reviewed
      • On-line learning methods for Gaussian processes
        S Oba; M Sato; S Ishii
        ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS, 2001, Peer-reviewed
      • Vowel synthesis by on-line EM algorithm with IIR filter
        H Tamakoshi; S Ishii; W Yoshida; M Sato
        IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, Peer-reviewed
      • A neural visualization method for WWW document clusters
        T Yoshioka; Y Takata; M Ito; S Ishii
        IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, Peer-reviewed
      • Fast Gaussian process regression using representative data
        T Yoshioka; S Ishii
        IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, Peer-reviewed
      • A multi-agent reinforcement learning method for a partially-observable competitive game
        Matsuno, Y; Yamazaki, T; Ishii, S
        Proceedings of the 5th International Conference on Autonomous Agents, 2001, Peer-reviewed
      • 代表データを用いたガウス過程回帰法
        吉岡琢; 大羽成征; 石井信
        2001年情報的学習理論ワークショップ(IBIS2001), 2001, Peer-reviewed
      • 統計的手法にもとづく強化学習と制御ルールの獲得
        石井信; 佐藤雅昭
        計測と制御 = Journal of the Society of Instrument and Control Engineers, 10 Dec. 2000
      • 統計的手法による脳磁図データ解析
        松野 陽一郎; 大羽 成征; 石井 信
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 12 Oct. 2000
      • NLP2000-31 / NC2000-25 VB法による混合主成分分析
        大羽 成征; 石井 信; 佐藤 雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 16 Jun. 2000
      • NLP2000-30 / NC2000-24 Variation of the Response functions in stochastic spiking neuron model
        Amemori Ken-ichi; Ishii Shin
        IEICE technical report. Nonlinear problems, Jun. 2000
      • Automatic control of continuous systems based on on-line EM reinforcement learning
        Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato
        IEICE technical report. Artificial intelligence and knowledge-based processing, 18 May 2000
      • 2種の平滑化埋め込みを用いたニューラルネットによるカオス力学系の再構成
        吉田和子; 石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NLP, 非線形問題, 18 Mar. 2000
      • 積分埋め込みを用いたニューラルネットによるカオス力学系の再構成
        吉田和子; 石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 14 Mar. 2000
      • Reinforcement learning for continuous dynamical systems
        Yoshimoto Junichiro; Ishii Shin; Sato Masa-aki
        IEICE technical report. Neurocomputing, 13 Mar. 2000
      • Response of spiking nenrons to Poisson spikes
        Amemori kenichi; Kubo Masayoshi; Ishii Shin
        IEICE technical report. Neurocomputing, Mar. 2000
      • Spike-based Hebbian Delay Adaptation
        Keyakidani Dai; Amemori Kenichi; Ishii Shin
        IEICE technical report. Nonlinear problems, Mar. 2000
      • Multiagent reinforcement learning applied to a chase problem in a continuous world
        Hiroki Tamakoshi; Shin Ishii
        In Proceedings of Fifth International Symposium on Artificial Life and Robotics (Oita, Jan., 2000), 2000
      • Learning of minimax strategy by support vector machines
        Niitsuma, H; Ishii, S
        Proceedings of the 7th International Conference on Neural Information Processing, 2000, Peer-reviewed
      • Variational Bayes method for mixture of principal component analysers
        Oba, S; Ishii, S; Sato, M
        Proceedings of the 7th International Conference on Neural Information Processing, 2000, Peer-reviewed
      • Effect of the synaptic time constant on stochastic spiking neurons
        Amemori, K; Ishii, S
        Proceedings of the 7th International Conference on Neural Information Processing, 2000, Peer-reviewed
      • On-line EM reinforcement learning
        J Yoshimoto; S Ishii; M Sato
        IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III, 2000, Peer-reviewed
      • Multi-agent reinforcement learning: An approach based on the other agent's internal model
        Y Nagayuki; S Ishii; K Doya
        FOURTH INTERNATIONAL CONFERENCE ON MULTIAGENT SYSTEMS, PROCEEDINGS, 2000, Peer-reviewed
      • Reconstruction of chaotic dynamics using a noise-robust embedding method
        W Yoshida; S Ishii; M Sato
        2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, Peer-reviewed
      • A multi-agent reinforcement learning method with the estimation of the other agent’s actions
        Nagayuki, Y; Ishii, S; Ito, M; Shimohara, K; Doya, K
        Proceedings of the 5th International Symposium on Artifical Life and Robotics, 2000, Peer-reviewed
      • WWW 上の文書集合の視覚化による検索支援
        吉岡琢; 高田喜朗; 石井信; 伊藤実
        データベースとWeb 情報システムに関する合同シンポジウム(DBWeb2000), 2000, Peer-reviewed
      • 相手モデル学習を取り入れたマルチエージェント系の学習モデル
        松野陽一郎; 山崎達也; 松田潤; 石井信
        ソフトウェアエージェントとその応用特集ワークショップ, 2000, Peer-reviewed
      • 正規混合分布の推定によるクラスタリングの種々手法の比較
        大羽 成征; 石井 信
        電子情報通信学会技術研究報告, 11 Dec. 1999
      • 正規化ガウス関数ネットワーク, Mixture of expertsとEMアルゴリズム
        石井信; 佐藤雅昭
        日本神経回路学会誌 = The Brain & neural networks, 05 Mar. 1999
      • Association of fine spatio-temporal sequence by a Hebbian spike-based learning rule
        Amemori Kenichi; Ishii Shin
        IEICE technical report. Neurocomputing, Mar. 1999
      • 正規化ガウス関数ネットワークとEMアルゴリズムによるカオス力学系再構成
        吉田和子; 石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 05 Feb. 1999
      • A non-equilibrium neural optimization method for quadratic assignment problem
        Ishii, S; Niitsuma, H
        Proceedings of the 1999 International Symposium on Nonlinear Theory and Its Applications, 1999, Peer-reviewed
      • On-line EM algorithm and its applications
        Ishii, S; Yoshimoto, J; Yoshida, W; Sato, M
        Proceedings of the Emerging Knowledge Engineering and Connectionist-Based Information Systems, 1999, Peer-reviewed
      • Approximating discrete mapping of chaotic dynamical system based on on-line EM algorithm
        W. Yoshida; S. Ishii; M. Sato
        ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings, 1999, Peer-reviewed
      • Application of reinforcement learning to balancing of acrobot
        Yoshimoto, J; Ishii, S; Sato, M
        Proceedings of the 1999 IEEE International Conference on Systems, Man and Cybernetics, 1999, Peer-reviewed
      • On-line EM algorithm for acquiring evaluation function of game Othello through reinforcement learning
        Yoshioka, T; Ishii, S
        Proceedings of the 1999 IEEE International Conference on Systems, Man and Cybernetics, 1999, Peer-reviewed
      • Reconstruction of chaotic dynamics and robustness to noise with on-line EM algorithm
        Yoshida, W; Ishii, S; Sato, M
        Proceedings of the 2000 IEEE International Conference on Systems, Man and Cybernetics, 1999, Peer-reviewed
      • Self-organization and association for temporal coding
        K Amemori; S Ishii
        NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2, 1999, Peer-reviewed
      • lambda-opt neural networks for quadratic assignment problem
        S Ishii; H Niitsuma
        NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2, 1999, Peer-reviewed
      • Reinforcement learning based on on-line EM algorithm
        M Sato; S Ishii
        ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 11, 1999, Peer-reviewed
      • 組合せ最適化問題のためのニューラルネットワークと非平衡ダイナミクス
        石井信
        第12 回回路とシステム軽井沢ワークショップ, 1999, Peer-reviewed, Invited
      • オンラインEMアルゴリズムによるカオス力学系再構成と耐ノイズ性
        吉田和子; 石井信; 佐藤雅昭
        第12回回路とシステム軽井沢ワークショップ, 1999, Peer-reviewed
      • ニューラルネットによる l-opt 法を用いたQAP の解法とダイナミクス
        新妻弘崇; 石井信
        第12回回路とシステム軽井沢ワークショップ, 1999, Peer-reviewed
      • オンラインEMアルゴリズムを用いたカオス力学系の再構成
        吉田和子; 石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NLP, 非線形問題, 19 Nov. 1998
      • Unsupervised learning of temporal sequence coded by small interval differences
        Amemori Kenichi; Ishii Shin
        IEICE technical report. Neurocomputing, Jul. 1998
      • オンラインEMアルゴリズムによる動的な関数近似
        石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NLP, 非線形問題, 06 Feb. 1998
      • Unsupervised learning for sub-millisecond temporal coded sequence
        Amemori, K; Ishii, S
        Proceedings of the JCIS ’98, 1998, Peer-reviewed
      • Strategy acquisition for the game "Othello" based on reinforcement learning
        T Yoshioka; S Ishii; M Ito
        ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, Peer-reviewed
      • Self-organizing network learning of sub-millisecond temporal coded information
        K Amemori; S Ishii
        ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, Peer-reviewed
      • On-line EM algorithm for mixture of local experts
        M Sato; S Ishii
        ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, Peer-reviewed
      • Deterministic annealing and chaotic annealing in a neural approach to quadratic assignment problem
        Ishii, S
        Proceedings of the Methodologies for the Conception, Design and Application of Soft Computing, 1998, Peer-reviewed
      • On-line EM algorithm and reinforcement learning
        Ishii, S; Sato, M
        Proceedings of the ICANN 98, 1998, Peer-reviewed
      • On-line EM algorithm and reconstruction of chaotic dynamics
        S Ishii; M Sato
        NEURAL NETWORKS FOR SIGNAL PROCESSING VIII, 1998, Peer-reviewed
      • Chaotic optimization and linear transformation
        Niitsuma, H; Ishii, S; Ito, M
        Proceedings of the 1997 International Symposium on Nonlinear Theory and Its Applications, 1997, Peer-reviewed
      • Neural approaches to quadratic assignment problems
        Ishii, S
        Proceedings of the 2nd International Conference on Computational Intelligence and Neuroscience, 1997, Peer-reviewed
      • Parametrically coupled chaotic elements as associative memory
        Ishii, S; Sato, M
        Proceedings of the 1996 International Symposium on Nonlinear Theory and Its Applications, 1996, Peer-reviewed
      • Bifurcations in chaotic Potts spin
        Ishii, S
        第9回回路とシステム軽井沢ワークショップ, 1996, Peer-reviewed
      • 巡回セールスマン問題における解の分岐
        石井信; 佐藤雅昭
        電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 30 Jun. 1995
      • Doubly constrained network model for combinatorial optimization problems
        Ishii, S; Sato, M
        Proceedings of the 1995 International Symposium on Nonlinear Theory and Its Applications, 1995, Peer-reviewed
      • Chaotic Potts spin
        S Ishii
        1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, 1995, Peer-reviewed, Invited
      • An approach for reducing spurious memories using globally coupled map
        Ishii, S; Fukumizu, K; Watanabe, S
        Proceedings of the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing, 1994, Peer-reviewed, Invited
      • A globally coupled map model for information processing
        Ishii, S; Fukumizu, K; Watanabe, S
        Proceedings of the 1993 International Symposium on Nonlinear Theory and Its Applications, 1993, Peer-reviewed
      • Associative memory using spatiotemporal chaos
        S ISHII; K FUKUMIZU; S WATANABE
        IJCNN '93-NAGOYA : PROCEEDINGS OF 1993 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 1993, Peer-reviewed
      • A fuzzy semantic network and its use for dealing with incomplete semantic description
        Ishii, S
        Proceedings of the 2nd International Conference on Fuzzy Logic and Neural Networks, 1992, Peer-reviewed
      • A robust Japanese parser with a sleep-awake mechanism
        Ishii, S
        Proceedings of the Natual Language Processing Pacific Rim Symposium, 1991, Peer-reviewed

      Presentations

      • 大脳基底核の機能モデルと人工知能
        石井 信
        第 37 回京都内科神経懇話会, Feb. 2020, Invited
      • 計測と情報科学の融合による新しいサイエンスの展望
        石井 信
        SPRUC 第 1 回 BLs アップグレード検討ワークショップ, Mar. 2019, Invited
      • Artificial intelligence methods for identification of large-scale brain structures
        Ishii, S
        International Symposium of Brain/MINDS, Jan. 2019, Invited
      • Decoding the scene prediction and its confidence during maze exploration
        Katayama, R; Yoshida, W; Ishii, S
        第 19 回脳と心のメカニズム冬のワークショップ, Jan. 2019
      • 人工知能による神経系ビッグデータ処理
        石井 信
        次世代脳プロジェクト冬のシンポジウム, 12 Dec. 2018
      • Deep Q-network regu- larized by adversarial examples
        Sasaki, W; Yasui, Y; Nakanishi, K; Ishii, S
        The 28th Annual Conference of the Joanapese Neural Network Society, Oct. 2018
      • Machine learning-based methods for large-scale neural imaging data.
        Ishii,S
        International Symposium on Brain Information Dynamics, 25 Mar. 2018, Invited
      • Artificial intelligence and neuroinformatics
        Ishii,S
        Advances in Neuroinformatics 2017, 20 Nov. 2017, Invited
      • 「人工知能」のできること、できないこと
        石井 信
        飛翔祭シンポジウム「人工知能には何ができないか」, 11 Nov. 2017, Invited
      • 脳イメージングデータ解析のAIの応用と脳機能から学ぶAIの開発
        石井 信
        第一回ヒト脳イメージング研究会, Sep. 2017, Invited
      • Artificial Intelligence and Connectomics
        Ishii,S
        Neuroscience 2017(Makuhari), Sep. 2017, Invited
      • Bayesian probabilistic modeling and its applocations
        Ishii,S
        新学術領域研究「人工知能と脳科学の対照と融合」若手サマースクール, 04 Aug. 2017
      • データベースに基づくブレインマシンインタフェース
        石井 信
        電子情報通信学会音声研究会, Aug. 2017, Invited
      • Decoding neural decision making
        Ishii,S
        Okinawa Computational Neuroscience Course 2017, Jun. 2017, Invited
      • Data-driven mimicking neural encoding/decoding systems.
        Shin Ishii
        CRCNS 2017, Jun. 2017, Invited
      • 機械学習に基づくブレインデコーディング
        石井 信
        電子情報通信学会 情報理論研究会, Dec. 2016, Invited
      • Machine-learning approaches to decoding biological systems
        Ishii, S
        OOIB Summer School 2016, Aug. 2016, Invited
      • 生命動態の理解と制御のための基盤技術の創出」研究領域
        石井 信
        第6回数理デザイン道場, Jun. 2016
      • 細胞形態制御システムに対する同定と制御
        石井信; 本田直樹
        生命動 態システム科学四拠点・CREST・PRESTO・QBiC 合同シンポジウム「生命動態 の分子メカニズムと数理」, Mar. 2016, Invited
      • Machine-learning approaches to decoding neural activities
        Ishii, S
        CNS Workshop on Statistical Analysis of Neural Time Series, 2016, Invited
      • 動的環境下におけるマルチプルモデル同 定型強化学習の高速な方策最適化法の提案
        矢野泰樹; 鹿内友美; 石井信
        第16 回脳と心のメカニズム冬のワー クショップ, Jan. 2016
      • Robust anticipation of future scene views during goal-directed navigation in frontoparietal network
        Shikauchi, Y; Ishii, S
        International Symposium on Prediction and Decision Making, Oct. 2015
      • 機械学習に基づく神経システム同定法.
        石井信
        「記憶のメカニズムを理解する-数理解析からのアプローチ」, Sep. 2015, Invited
      • Toward whole brain simulations based on high-performance computing and neuronal big-data acquisition
        Ishii, S
        2015 International Conference on Brain Informatics & Health, Sep. 2015, Invited
      • Informatics-based approaches to connectomics
        Ishii, S
        The 38th Annual Meeting of the Japan Neuroscience Society, Jul. 2015
      • Data-driven brain decoding techniques
        Ishii, S
        10th AEARU Workshop on Computer Science and Web Technology, Feb. 2015, Invited
      • 全脳シミュレーションに向けて:大規模計算技術と大規模構造マップ
        石井信
        第7 回スーパーコンピュータ「京」と創薬・医療の産学連携セミナー, Oct. 2014, Invited
      • Reverse engineering-based methods for elucidating functions of neural systems
        Ishii, S
        Neuroscience 2014, Sep. 2014, Invited
      • データベースに基づくブレイン・マシン・インターフェース
        石井信
        第37 回日本神経科学大会サテライトシンポジウム「脳情報の産業応用に向けた動向と社会基盤整備」, Sep. 2014
      • A system identification-based approach to neural systems
        Ishii, S
        Nagoya International Symposium on Neural Circuits, May 2014, Invited
      • 神経回路の高スループットデータ解析と大規模シミュレーション
        石井信
        自然科学研究機構新分野創成センターシンポジウム「大規模脳神経回路機能マップのその先」, Jan. 2014, Invited
      • 画像処理に基づく生命システム同定
        石井信
        第36回日本分子生物学会年会ワークショップ「バイオイメージ・インフォマティクスの新展開」, Dec. 2013, Invited
      • ブレイン・マシン・インターフェースの生活支援への応用に向けて
        石井信
        医療エレクトロニクスデバイス技術分科会, Oct. 2013, Invited
      • ベイズ法に基づく顕微鏡画像超解像
        石井信; 前田新一; 大羽成征
        第22回日本バイオイメージング学会学術集会, Sep. 2013, Invited
      • System identification of cellular information processing
        Ishii, S
        IEEE/EMBC Workshop on Systems Biology of Cellular Signaling, Jul. 2013, Invited
      • Brain machine interface and decoding in moble environments
        Ishii, S
        MONA: Modeling Neual Activity: Statistics, Dynamical Systems, and Networks, Jun. 2013, Invited
      • An identification method for biological systems
        Ishii, S
        Kickoff Symposium: Research and Educaion Platform for Innovative Research on Dynamic Living Systems Based on Multi-dimensional Quantitative Imaging and Mathematical Modeling, May 2013
      • ネットワーク型ブレイン・マシン・インターフェースと一般生活環境への応用可能性
        石井信
        第28回低消費電力・高速LSI 技術懇談会, Mar. 2013, Invited
      • Network-based BMI: toward brain machine interface in real environments
        Ishii, S
        IPAM workshop on Multimodal Neuroimaging, Mar. 2013, Invited
      • 日常生活支援を目指すネットワーク型ブレイン・マシン・インターフェース
        石井信
        第5回脳プロ公開シンポジウム, Jan. 2013
      • 神経系の大規模シミュレーション
        石井信
        ISLiM ソフトウェア研究開発報告会, Jan. 2013
      • Modeling and simulations of neuronal morphology
        Ishii, S
        Okinawa Computational Neuroscience Course 2012, Jun. 2012, Invited
      • Toward brain machine interface in real environments (plenary lecture)
        Ishii, S
        The 4th International Symposium on Brain and Cognitive Engineering, May 2012, Invited
      • Machine learning methods for brain machine interface
        Ishii, S
        Statistics for Biomedical and Social Mathematical Sciences, Mar. 2012, Invited
      • ブレインリーディングからブレインマシンインターフェースへ
        石井信
        平成23 年度数学・数理科学と諸科学・産業との連携研究ワークショップ「ネットワーク型知識に関する機械学習的アプローチ」, Mar. 2012, Invited
      • シミュレーションにより神経系の情報処理基盤を探る
        石井信
        ISLiM成果報告会2011, Dec. 2011
      • 神経細胞のシステム生物学
        石井信
        第33 回神経組織培養研究会, Oct. 2011
      • 見えないものを観るための画像処理技術
        石井信
        ICTサイエンスカフェ京都, Oct. 2011
      • ネットワーク型ブレインマシンインターフェースに向けて
        石井信
        Neuroscience 2011, Sep. 2011
      • ネットワーク社会のブレインマシンインターフェース
        石井信
        電子情報通信学会通信ソサイエティ総会, Sep. 2011
      • Modeling and simulations of neuronal morphology
        Ishii, S
        Neuroinformatics 2011, INCF Congress, Sep. 2011
      • Models and simulations of neuronal morphodynamics
        Ishii, S
        Japan-Germany Joint Workshop on Computational Neuroscience, May 2011, Invited
      • 階層ベイズモデリングによる時系列からの再構成
        石井信
        The 1st Latent Dynamics Workshop, Jun. 2010, Invited
      • Image processing based on probabilistic model optimization
        Ishii, S
        Joint Workshop of Applied Mathematics & Informatics 2010, May 2010
      • Simulations of single neurons and large-scale neural networks
        Ishii, S
        The 2nd Biosupercomputing symposium, May 2010
      • 複雑な環境に適応する脳とコンピュータ
        石井信
        京都大学宇治キャンパス公開2009公開講演会, Oct. 2009
      • Models and simulations of neural systems
        Ishii, S
        Joint Computational Science Workshop 2009, Jul. 2009
      • Modeling pattern formation by neurons
        Ishii, S
        The 2nd bilateral German-Japanese Workshop on Computational Neuroscience, May 2009, Invited
      • 脳神経系のモデル化とシミュレーション
        石井信
        地球シミュレータセンター第48回セミナー, Feb. 2009
      • 神経細胞の構造決定過程のモデル
        石井信
        ASCONE2008「脳科学への数理的アプローチ」, Oct. 2008, Invited
      • 機械学習による時系列信号の再構成
        石井信
        Crest-Museシンポジウム2008, Aug. 2008, Invited
      • ベイズ超解像
        石井信
        MIRU2008サテライトワークショップ「画像処理とその周辺における確率的情報処理の展開」, Jul. 2008, Invited
      • Decision making in a partially observable world: introduction to reinforcement learning and Bayesian inference
        Ishii, S
        Okinawa Computational Neuroscience Course 2008, Jun. 2008, Invited
      • スピングラスモデルを用いたベイズ超解像
        石井信
        DEX-SMI 2007 研究成果発表会, Dec. 2007
      • Modeling decision making in a partially observable domain (plenary lecture)
        Ishii, S
        International Conference on Neural Information Processing, Nov. 2007, Invited
      • Introduction: statistical and machine learning based approaches to neurobiology
        Ishii, S
        Okinawa Computational Neuroscience Course 2007, Jun. 2007, Invited
      • 内部状態とサンプリングを用いた強化学習法
        石井信
        計測自動制御学会「第1回非線形ダイナミクス制御研究会」, May 2007, Invited
      • 脳のモデリング技術とテーラーメイド医療をつなぐ
        石井信
        「テーラーメイド医療−夢の治療法〜理論と実践〜−」, 日本医学会総会, Apr. 2007, Invited
      • 誤り訂正出力符号の拡張による多値判別法とその応用
        石井信
        DEX-SMI 2006研究成果発表会, Dec. 2006
      • 逐次的確率モデル推定によるヒューマンモデリングとその応用
        石井信
        統計数理研究所シンポジウム「ベイズモデルがもたらす実世界イノベーション」, Dec. 2006, Invited
      • 部分観測環境における意思決定のモデル
        石井信
        ASCONE06「脳科学への数理的アプローチ」, Nov. 2006, Invited
      • Bayesian modeling of human behaviors
        Ishii, S
        The 3rd Japanese-German Frontiers of Science Symposium, Nov. 2006, Invited
      • 神経シグナル伝達の物理化学モデリング
        石井信
        高度好熱菌丸ごと一匹プロジェクト第5回連携研究会, Aug. 2006, Invited
      • Bayesian reproduction of biological data
        Ishii, S
        Okinawa Computational Neuroscience Course 2006, Jul. 2006, Invited
      • 確率モデルを用いたバイオインフォマティクス法について
        石井信
        RIMS研究集会「情報物理学の数学的構造」, Jun. 2006
      • タンパク質の空間局所活性により制御される成長円錐モデル
        石井信; 作村諭一; 塚田祐基; 山本亘彦
        第6回日本蛋白質科学会年会, Apr. 2006, Invited
      • 神経の成長と可塑における分子の物理的制御モデル
        石井信
        システム生物学者育成プログラムシンポジウム, Feb. 2006, Invited
      • 強化学習と脳における報酬系の情報処理
        石井信
        「数学者のための分子生物学入門」ワークショップ, Jan. 2006, Invited
      • マルチクラス分類器の構成法と癌マイクロアレイ分類への応用
        石井信
        「バイオインフォマティクスと統計科学」研究会, Jan. 2006
      • 多クラス分類器の構成法と癌のマイクロアレイ分類への応用
        石井信
        SMAPIP 研究会「確率推論の数理」, Dec. 2005
      • 神経軸索伸長の生化学−物理モデル
        石井信; 作村諭一; 塚田祐基; 山本亘彦
        日本神経回路学会時限研究会「プラットフォームシミュレータを用いた分子から神経回路までの統合的理解」, Dec. 2005, Invited
      • 最適制御のための意思決定機構
        石井信
        第48回人工知能セミナー, Apr. 2005, Invited
      • 「バイオ情報学」研究会へのいざない
        石井信
        日本バイオインフォマティクス学会システム生物学研究会, Mar. 2005
      • バイオ情報学−コンピュータで生命の変化を知る−遺伝子発現解析からシステム生物学へ
        石井信
        情報処理学会全国大会, Mar. 2005
      • 部分観測環境での強化学習法とその脳内実現
        石井信; 吉田和子; 中村泰
        脳!大いなるフロンティアに挑む, Oct. 2004
      • Decision making and optimal control in a partially observable environment
        Ishii, S
        日本心理学会第68回大会ワークショップ, Sep. 2004, Invited
      • 遺伝子を読み解く
        石井信
        軽井沢ロータリークラブ例会卓話, 30 Aug. 2004, Invited
      • マイクロアレイデータのための安定した統計解析法
        石井信
        研究課題「cDNAチップを用いた新規肝癌関連遺伝子の網羅的検索による肝発癌・進展の分子機構の解明とオーダーメイド医療へ向けた予後予測法の開発」に関する第1回研究会, Jan. 2004
      • 強化学習法による2足歩行ロボットの自動制御
        石井信
        第12回人工知能助成研究成果発表講演会, Dec. 2003, Invited
      • 部分観測環境における意志決定と最適制御
        石井信
        脳と心のメカニズム第4回夏のワークショップ, Aug. 2003, Invited
      • Statistical analysis for gene expression profiling
        Ishii, S
        The 4th KRIBBNAIST-GSB Joint Symposium, Nov. 2002, Invited
      • 統計的学習に基づく遺伝子発現解析
        石井信
        情報通信技術交流会(ACNet)第123回例会, Sep. 2002, Invited
      • 統計的学習、強化学習とエージェントの適応戦略
        石井信
        「学習システムの理論と構築」ワークショップ, Jan. 2002, Invited
      • 混合モデル推定とバイオインフォマティクスへの応用
        石井信
        「学習システムの理論と構築」ワークショップ, Jan. 2002, Invited
      • Mixture-model inference and applications
        Ishii, S
        International Symposium on New Trends in Optimization and Computational Algorithms, Dec. 2001, Invited
      • 生命の情報システム的理解に向けて
        石井信
        NAIST 関西フォーラム2001, Nov. 2001
      • 強化学習とEMアルゴリズムによる不安定力学システムの自動制御
        石井信
        SICE システムモデル調査研究会, Sep. 2001, Invited
      • 生命現象の情報システム的理解に向けて
        石井信
        NAIST 東京シンポジウム, Jun. 2001
      • A model on spatial 1/f spectra of DNA sequences
        Osaka, M; Gohara, K; Ishii, S; Ito, N
        4th International Conference on Biological Physics (Aug 2001,Kyoto), Apr. 2001
      • A link between behavioral and physiological modelings of noradrenergic modulation
        Amemori, K; Ishii, S
        CREST Workshop on Metaleaning and Neuromodulation (Apr., 2001, Kyoto), Apr. 2001
      • Control of exploration-exploitation balance in reinforcement learning
        Ishii, S
        CREST Workshop on Metaleaning and Neuromodulation, Apr. 2001, Invited
      • 強化学習におけるメタパラメータとエージェントの個性
        石井信; 銅谷賢治
        日本心理学会第64回大会ワークショップ, Nov. 2000, Invited
      • 統計的手法に基づく強化学習とメタ学習
        石井信
        CREST 領域シンポジウム, Apr. 2000
      • 学習のハイパーパラメータ
        石井信; 佐藤雅昭
        文部省特定領域研究「高次脳機能のシステム的理解」第4回冬のワークショップ, Jan. 2000, Invited

      Books and Other Publications

      • 価値と学習.よくわかる認知科学
        石井 信, Contributor, IV-7 節, 124-127
        ミネルヴァ書房, 2010, Not refereed
      • 確率モデルによるヒューマンモデリングとその応用.統計数理は隠された未来をあらわにする
        石井 信, Contributor, 第2章
        東京電機大学出版局, 2007, Not refereed
      • A probability primer, In Bayesian Brain (eds., K. Doya, S. Ishii, A. Pouget, and R. P. N. Rao)
        Doya, K; Ishii, S, Contributor
        MIT Press, 2007, Not refereed
      • バイオインフォマティクス事典
        石井 信, Contributor, 「階層型ニューラルネットワーク」、「アレイデータの誤差処理」, 27-29,383-385
        共立出版, 2006, Not refereed
      • 脳の計算機構「−ボトムアップ・トップダウンのダイナミクス−」
        佐藤雅昭; 石井信, Contributor, 3章, 18-38
        朝倉書店, 2005, Not refereed
      • 脳科学大事典
        石井 信, Contributor, III-7.1 節
        朝倉書店, 2000, Not refereed

      Industrial Property Rights

      • 行動決定システム及び自動運転制御装置
        中西 康輔; 安井 裕司; 喜住 祐紀; 大西 翔太; 石井 信

      Awards

      • 2015
        Japanese Neural Network Society, JNNS Best Paper Award
      • 2015
        The Institute of Systems, Control and Information Engineers, システム制御情報学会賞論文賞
      • 2010
        Japanese Neural Network Society, JNNS Best Paper Award
      • 2007
        Japanese Neural Network Society, JNNS Best Paper Award
      • 2005
        The Telecommunications Advancement Foundation, TAF Telecommunications System Technology Award
      • 2004
        Advances in Neuroblastoma Research Association, The Luca Rotti Award
      • 2002
        The Institute of Systems, Control and Information Engineers, システム制御情報学会賞論文賞
      • 2010
        日本神経回路学会(JNNS), 日本神経回路学会 論文賞
      • 2007
        日本神経回路学会(JNNS), 日本神経回路学会 論文賞
      • 2005
        財団法人電気通信普及財団, 第21回電気通信普及財団賞 テレコムシステム技術賞
      • 2004
        Advanced in Neuroblastoma research, The Luca Rotti Award
      • 2002
        システム制御情報学会, システム制御情報学会賞 論文賞

      External funds: others

      • 革新的技術による脳機能ネットワークの全容解明(マーモセットの高次脳機能マップの作成とその基盤となる神経回路の解明)
        国家課題対応型研究開発推進事業・脳科学研究戦略推進プログラム
        From 01 Oct. 2014, To 31 Mar. 2019
        中村克樹
      • 情動の制御機構を解明するための神経情報基盤の構築(情動系神経情報基盤構築のための計算論的手法および実験動物の開発)
        国家基幹研究開発推進事業・脳科学研究戦略推進プログラム
        From 01 Jan. 2012, To 31 Mar. 2015
        石井信
      • 生命動態の理解と制御のための基盤技術の創出(時間情報コードによる細胞制御システムの解明)
        戦略的創造研究推進事業(CREST)
        From 01 Oct. 2012, To 31 Mar. 2018
        黒田真也
      • 次世代生命体統合シミュレーションソフトウェアの研究開発(神経回路構築を担う分子システムの時空間シミュレーション)
        文部科学省研究振興事業・次世代スーパーコンピュータプロジェクト
        From 01 Apr. 2010, To 31 Mar. 2013
        石井信
      • 生物機能データ予測のためのモデルパラメータ推定技術の開発(予測技術を用いた生命システムの同定手法の開発)
        科学技術振興機構・バイオインフォマティクス推進事業(JST-BIRD)
        From 01 Oct. 2011, To 31 Mar. 2015
        石井信
      list
        Last Updated :2022/05/14

        Education

        Teaching subject(s)

        • From Apr. 2011, To Mar. 2012
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2011, To Mar. 2012
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2011, To Mar. 2012
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2011, To Mar. 2012
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2011, To Mar. 2012
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2011, To Mar. 2012
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2011, To Mar. 2012
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2012, To Mar. 2013
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2012, To Mar. 2013
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2012, To Mar. 2013
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Advanced Study in Systems Science 1
          Fall, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2012, To Mar. 2013
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2013, To Mar. 2014
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2013, To Mar. 2014
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Systems Sciences Advanced
          Fall, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2013, To Mar. 2014
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2014, To Mar. 2015
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2014, To Mar. 2015
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2014, To Mar. 2015
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Systems Sciences Advanced
          Fall, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2014, To Mar. 2015
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2014, To Mar. 2015
          Computational neuroscience
          Spring, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2015, To Mar. 2016
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2015, To Mar. 2016
          Systems Biology
          Year-long, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2015, To Mar. 2016
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Systems Sciences Advanced
          Fall, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2015, To Mar. 2016
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2016, To Mar. 2017
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2016, To Mar. 2017
          Systems Biology
          Year-long, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2016, To Mar. 2017
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2016, To Mar. 2017
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Seminar on Systems Informatics, Advanced
          Year-long, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2017, To Mar. 2018
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2017, To Mar. 2018
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2017, To Mar. 2018
          Seminar on Systems Science, Advanced
          Spring, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Advanced Study in Systems Science 1
          Fall, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Advanced Study in Systems Science 1
          Year-long, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Advanced Study in Systems Science 2
          Year-long, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2017, To Mar. 2018
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2018, To Mar. 2019
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2018, To Mar. 2019
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2018, To Mar. 2019
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2018, To Mar. 2019
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2018, To Mar. 2019
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2018, To Mar. 2019
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2018, To Mar. 2019
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2019, To Mar. 2020
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2019, To Mar. 2020
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2019, To Mar. 2020
          Intelligent Systems
          Spring, 工学部
        • From Apr. 2019, To Mar. 2020
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2019, To Mar. 2020
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2019, To Mar. 2020
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2019, To Mar. 2020
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2020, To Mar. 2021
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2020, To Mar. 2021
          Machine Learning
          Fall, 工学部
        • From Apr. 2020, To Mar. 2021
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2020, To Mar. 2021
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2020, To Mar. 2021
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2020, To Mar. 2021
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2020, To Mar. 2021
          Integrated Systems Biology
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Mathematical Statistics
          Fall, 全学共通科目
        • From Apr. 2021, To Mar. 2022
          Machine Learning
          Fall, 工学部
        • From Apr. 2021, To Mar. 2022
          Electrical and Electronic Engineering in Biomedical Applications
          Spring, 工学部
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Computational neuroscience
          Year-long, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Integrated Systems Biology
          Spring, 情報学研究科

        Part-time lecturer

        • From Apr. 2011
          機能生物学セミナー
          通年, 東京大学, 大学院医学系研究科
        list
          Last Updated :2022/05/14

          Administration

          School management (title, position)

          • From 01 May 2016, To 30 Apr. 2017
            国際高等教育院 企画評価専門委員会 統計教育特別部会 委員
          • From 01 Apr. 2014, To 30 Apr. 2016
            国際高等教育院 企画評価専門委員会 統計特別部会 委員
          • From 01 Apr. 2021, To 31 Mar. 2023
            人権委員会 委員

          Faculty management (title, position)

          • From 01 Apr. 2008, To 31 Mar. 2009
            情報学研究科基盤整備委員会・委員
          • From 01 Apr. 2009, To 31 Mar. 2010
            情報学研究科制規委員会・委員
          • From 01 Apr. 2009, To 31 Mar. 2011
            附属図書館宇治分館運営委員会・委員
          • From 01 Apr. 2009, To 31 Mar. 2010
            宇治地区事業所省エネルギー推進委員会・委員
          • From 01 Apr. 2009, To 31 Mar. 2010
            情報学研究科 システム科学専攻・専攻長
          • From 01 Apr. 2010, To 31 Mar. 2016
            学術情報メディアセンタースーパーコンピュータシステム共同研究企画委員会・委員
          • From 01 Apr. 2010
            宇治地区施設整備・将来計画企画委員会・委員
          • From 01 Apr. 2010, To 31 Mar. 2011
            情報学研究科ICT連携推進ネットワーク委員会・副委員長
          • From 01 Apr. 2010
            情報学研究科ICT連携推進ネットワーク委員会・委員
          • From 2011
            情報学研究科ICT連携推進ネットワーク委員会・副委員長
          • From 2011
            宇治地区施設整備・将来計画企画委員会・委員
          • From 01 Apr. 2011, To 31 Mar. 2016
            学術情報メディアセンター全国共同利用運営委員会・委員
          • From 01 Apr. 2011, To 31 Mar. 2012
            情報学研究科ICTイノベーション実行委員会・委員長
          • From 01 Apr. 2011, To 31 Mar. 2013
            財務委員会委員
          • From 01 Apr. 2011, To 31 Mar. 2012
            連携推進WG委員(ICTイノベーション)
          • From 06 Nov. 2012, To 31 Mar. 2013
            宇治キャンパス危機管理委員会
          • From 01 Apr. 2012, To 31 Mar. 2014
            宇治地区施設整備・将来計画委員会
          • From 01 Apr. 2012, To 31 Mar. 2013
            連携推進WG委員長
          • From 01 Apr. 2013, To 31 Mar. 2014
            連携推進WG委員
          • From 01 Apr. 2014, To 31 Mar. 2016
            宇治地区施設整備・将来計画委員会
          • From 01 Apr. 2014, To 31 Mar. 2016
            企画委員会委員
          • From 01 Apr. 2016, To 31 Mar. 2017
            基盤整備委員会副委員長
          • From 01 Apr. 2017, To 31 Mar. 2018
            専攻長会議
          • From 01 Apr. 2017, To 31 Mar. 2018
            制規委員会委員
          • From 01 Apr. 2017, To 31 Mar. 2018
            情報セキュリティ委員会委員
          • From 01 Apr. 2018, To 31 Mar. 2019
            人を対象とする研究倫理小委員会
          • From 01 Apr. 2019, To 31 Mar. 2021
            教務委員会委員
          • From 01 Apr. 2021, To 31 Mar. 2022
            企画委員会委員

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