Chaotic Potts spin. - Shin Ishii (ICNN, 1995)

A network of chaotic elements for information processing. - Shin Ishii; Kenji Fukumizu; Sumio Watanabe (Neural Networks, 1996)

Eliminating Spurious Memories in a Network of Chaotic Elements. - Shin Ishii (J. Intell. Fuzzy Syst., 1997)

Chaotic Potts Spin Model for Combinatorial Optimization Problems. - Shin Ishii; Masa-aki Sato (Neural Networks, 1997)

Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. - Ken-ichi Amemori; Shin Ishii (ICONIP, 1998)

On-Line EM Algorithm for Mixture of Local Experts. - Masa-aki Sato; Shin Ishii (ICONIP, 1998)

Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. - Taku Yoshioka; Shin Ishii; Minoru Ito (ICONIP, 1998)

Reinforcement Learning Based on On-Line EM Algorithm. - Masa-aki Sato; Shin Ishii (NIPS, 1998)

Constrained neural approaches to quadratic assignment problems. - Shin Ishii; Masa-aki Sato (Neural Networks, 1998)

Reconstruction of chaotic dynamics using a noise-robust embedding method. - Wako Yoshida; Shin Ishii; Masa-aki Sato (ICASSP, 2000)

Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. - Yasuo Nagayuki; Shin Ishii; Kenji Doya (ICMAS, 2000)

On-Line EM Reinforcement Learning. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (IJCNN (3), 2000)

-Opt Neural Approaches to Quadratic Assignment Problems. - Shin Ishii; Hirotaka Niitsuma (Neural Comput., 2000)

On-line EM Algorithm for the Normalized Gaussian Network. - Masa-aki Sato; Shin Ishii (Neural Comput., 2000)

Analog lambda-opt approach to quadratic assignment problem. - Hirotaka Niitsuma; Shin Ishii; Minoru Ito (Syst. Comput. Jpn., 2000)

A multi-agent reinforcement learning method for a partially-observable competitive game. - Yoichiro Matsuno; Tatsuya Yamazaki; Shin Ishii (Agents, 2001)

Gaussian Process Approach to Stochastic Spiking Neurons with Reset. - Ken-ichi Amemori; Shin Ishii (ICANN, 2001)

Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model. - Ken-ichi Amemori; Shin Ishii (ICANN, 2001)

On-Line Learning Methods for Gaussian Processes. - Shigeyuki Oba; Masa-aki Sato; Shin Ishii (ICANN, 2001)

Multiagent reinforcement learning applied to a chase problem in a continuous world. - Hiroki Tamakoshi; Shin Ishii (Artif. Life Robotics, 2001)

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. - Ken-ichi Amemori; Shin Ishii (Neural Comput., 2001)

Reconstruction of chaotic dynamics by on-line EM algorithm. - Shin Ishii; Masa-aki Sato (Neural Networks, 2001)

Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (Syst. Comput. Jpn., 2001)

Missing Value Estimation Using Mixture of PCAs. - Shigeyuki Oba; Masa-aki Sato; Ichiro Takemasa; Morito Monden; Ken-ichi Matsubara; Shin Ishii (ICANN, 2002)

Reinforcement Learning for Biped Locomotion. - Masa-aki Sato; Yutaka Nakamura; Shin Ishii (ICANN, 2002)

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (ICANN, 2002)

Clustering of Gene Expression Data by Mixture of PCA Models. - Taku Yoshioka; Ryouko Morioka; Kazuo Kobayashi; Shigeyuki Oba; Naotake Ogasawara; Shin Ishii (ICANN, 2002)

Doubly constrained network for combinatorial optimization. - Shin Ishii; Masa-aki Sato (Neurocomputing, 2002)

Control of exploitation-exploration meta-parameter in reinforcement learning. - Shin Ishii; Wako Yoshida; Junichiro Yoshimoto (Neural Networks, 2002)

A multiagent reinforcement learning method based on the model inference of the other agents. - Yoichiro Matsuno; Tatsuya Yamazaki; Jun Matsuda; Shin Ishii (Syst. Comput. Jpn., 2002)

Prior Hyperparameters in Bayesian PCA. - Shigeyuki Oba; Masa-aki Sato; Shin Ishii (ICANN, 2003)

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (ICANN, 2003)

A reinforcement learning scheme for a multi-agent card game. - Hajime Fujita 001; Yoichiro Matsuno; Shin Ishii (SMC, 2003)

A Bayesian missing value estimation method for gene expression profile data. - Shigeyuki Oba; Masa-aki Sato; Ichiro Takemasa; Morito Monden; Ken-ichi Matsubara; Shin Ishii (Bioinform., 2003)

Variational Bayes method for Mixture of Principal Component Analyzers. - Shigeyuki Oba; Masa-aki Sato; Shin Ishii (Syst. Comput. Jpn., 2003)

Reinforcement Learning for CPG-Driven Biped Robot. - Takeshi Mori; Yutaka Nakamura; Masa-aki Sato; Shin Ishii (AAAI, 2004)

Switching Particle Filters for Efficient Real-time Visual Tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (ICPR (2), 2004)

A solving method for MDPs by minimizing variational free energy. - Junichiro Yoshimoto; Shin Ishii (IJCNN, 2004)

Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. - Yutaka Nakamura; Takeshi Mori; Shin Ishii (PPSN, 2004)

Reinforcement learning for a snake-like robot controlled by a central pattern generator. - Shuichi Fukunaga; Yutaka Nakamura; Kazuaki Aso; Shin Ishii (RAM, 2004)

Self-organization of delay lines by spike-time-dependent learning. - Ken-ichi Amemori; Shin Ishii (Neurocomputing, 2004)

Bayesian representation learning in the cortex regulated by acetylcholine. - Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii (Neural Networks, 2004)

Temporal Reasoning about Two Concurrent Sequences of Events. - Yasunori Ishihara; Shin Ishii; Hiroyuki Seki; Minoru Ito (SIAM J. Comput., 2004)

Multi-Scale Clustering for Gene Expression Profiling Data. - Shigeyuki Oba; Kikuya Kato; Shin Ishii (BIBE, 2005)

Model-based reinforcement learning for a multi-player card game with partial observability. - Hajime Fujita 001; Shin Ishii (IAT, 2005)

An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. - Yutaka Nakamura; Takeshi Mori; Shin Ishii (ICANN (2), 2005)

Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. - Naoto Yukinawa; Shigeyuki Oba; Kikuya Kato; Shin Ishii (ICANN (2), 2005)

On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method. - Kentarou Hitomi; Tomohiro Shibata; Yutaka Nakamura; Shin Ishii (IROS, 2005)

Acrobot control by learning the switching of multiple controllers. - Junichiro Yoshimoto; Masaya Nishimura; Yoichi Tokita; Shin Ishii (Artif. Life Robotics, 2005)

Model-based reinforcement learning: a computational model and an fMRI study. - Wako Yoshida; Shin Ishii (Neurocomputing, 2005)

Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller. - Yutaka Nakamura; Takeshi Mori; Yoichi Tokita; Tomohiro Shibata; Shin Ishii (J. Robotics Mechatronics, 2005)

A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. - Shin Ishii; Hajime Fujita 001; Masaoki Mitsutake; Tatsuya Yamazaki; Jun Matsuda; Yoichiro Matsuno (Mach. Learn., 2005)

Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. - Shin-ichi Maeda; Wen-Jie Song; Shin Ishii (Neural Comput., 2005)

Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. - Hajime Fujita 001; Yutaka Nakamura; Shin Ishii (ICANN (1), 2006)

Semi-supervised Significance Score of Differential Gene Expressions. - Shigeyuki Oba; Shin Ishii (ICANN (2), 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 (IROS, 2006)

Semi-supervised discovery of differential genes. - Shigeyuki Oba; Shin Ishii (BMC Bioinform., 2006)

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. - Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii (Neurocomputing, 2006)

Reinforcement Learning: Machine Learning and Natural Learning. - Shin Ishii; Wako Yoshida (New Gener. Comput., 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, 2006)

Stochastic resonance with differential code in feedforward network with intra-layer random connections. - Yuichi Sakumura; Shin Ishii (Neural Networks, 2006)

Switching particle filters for efficient visual tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (Robotics Auton. Syst., 2006)

Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot. - Kentarou Hitomi; Tomohiro Shibata; Yutaka Nakamura; Shin Ishii (Robotics Auton. Syst., 2006)

A Probabilistic Model of MOSAIC. - Satoshi Osaga; Junichiro Hirayama; Takashi Takenouchi; Shin Ishii (FOCI, 2007)

Multiclass classification as a decoding problem. - Takashi Takenouchi; Shin Ishii (FOCI, 2007)

Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICANN (2), 2007)

Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. - Yuki Taniguchi; Takeshi Mori; Shin Ishii (ICANN (1), 2007)

Bayesian Collaborative Predictors for General User Modeling Tasks. - Junichiro Hirayama; Masashi Nakatomi; Takashi Takenouchi; Shin Ishii (ICONIP (1), 2007)

Optimization of Parametric Companding Function for an Efficient Coding. - Shin-ichi Maeda; Shin Ishii (ICONIP (1), 2007)

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. - Tomohiro Shibata; Takashi Bando; Shin Ishii (ICONIP (1), 2007)

Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking. - Yuki Tsukada; Yuichi Sakumura; Shin Ishii (ICONIP (2), 2007)

Estimation of the Source-Filter Model Using Temporal Dynamics. - Mizuki Ihara; Shin-ichi Maeda; Shin Ishii (IJCNN, 2007)

A probabilistic decoding approach to multi-class classification. - Takashi Takenouchi; Shin Ishii (IJCNN, 2007)

Heterogeneous Component Analysis. - Shigeyuki Oba; Motoaki Kawanabe; Klaus-Robert Müller; Shin Ishii (NIPS, 2007)

Parameter estimation for von Mises-Fisher distributions. - Akihiro Tanabe; Kenji Fukumizu; Shigeyuki Oba; Takashi Takenouchi; Shin Ishii (Comput. Stat., 2007)

Combfit: A Normalization Method for Array CGH Data. - Shigeyuki Oba; Nobumoto Tomioka; Miki Ohira; Shin Ishii (Inf. Media Technol., 2007)

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. - Hajime Fujita 001; Shin Ishii (Neural Comput., 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, 2007)

Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. - Junichiro Hirayama; Shin-ichi Maeda; Shin Ishii (IEEE Trans. Neural Networks, 2007)

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. - Yu Hiei; Takeshi Mori; Shin Ishii (ICANN (1), 2008)

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. - Yuki Taniguchi; Takeshi Mori; Shin Ishii (ICANN (1), 2008)

A semiparametric statistical approach to model-free policy evaluation. - Tsuyoshi Ueno; Motoaki Kawanabe; Takeshi Mori; Shin-ichi Maeda; Shin Ishii (ICML, 2008)

Interpreting Dopamine Activities in Stochastic Reward Tasks. - Akiyo Asahina; Junichiro Hirayama; Shin Ishii (ICONIP (1), 2008)

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; François B. Vialatte; Andrzej Cichocki (ICONIP (1), 2008)

A Closed-Form Estimator of Fully Visible Boltzmann Machines. - Junichiro Hirayama; Shin Ishii (ICONIP (2), 2008)

Adaptive control of a looper-like robot based on the CPG-actor-critic method. - Kenji Makino; Yutaka Nakamura; Tomohiro Shibata; Shin Ishii (Artif. Life Robotics, 2008)

A probabilistic modeling of MOSAIC learning. - Satoshi Osaga; Junichiro Hirayama; Takashi Takenouchi; Shin Ishii (Artif. Life Robotics, 2008)

Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals. - Tomoya Tamei; Shin Ishii; Tomohiro Shibata (Adv. Robotics, 2008)

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 Comput. Biol., 2008)

An Additive Reinforcement Learning. - Takeshi Mori; Shin Ishii (ICANN (1), 2009)

Learning color image expansion filters. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICIP, 2009)

Superresolution from Occluded Scenes. - Wataru Fukuda; Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICONIP (2), 2009)

Robust Approximation in Decomposed Reinforcement Learning. - Takeshi Mori; Shin Ishii (ICONIP (1), 2009)

Learning of Go Board State Evaluation Function by Artificial Neural Network. - Hiroki Tomizawa; Shin-ichi Maeda; Shin Ishii (ICONIP (1), 2009)

Dynamic Exponential Family Matrix Factorization. - Kohei Hayashi; Junichiro Hirayama; Shin Ishii (PAKDD, 2009)

Optimal Online Learning Procedures for Model-Free Policy Evaluation. - Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii (ECML/PKDD (2), 2009)

Adaptive particle allocation for multifocal visual attention based on particle filtering. - Naomi Yano; Tomohiro Shibata; Shin Ishii (Artif. Life Robotics, 2009)

A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data. - Naoto Yukinawa; Taku Yoshioka; Kazuo Kobayashi; Naotake Ogasawara; Shin Ishii (Inf. Media Technol., 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 Comput. Appl., 2009)

A Multiclass Classification Method Based on Decoding of Binary Classifiers. - Takashi Takenouchi; Shin Ishii (Neural Comput., 2009)

Superresolution with compound Markov random fields via the variational EM algorithm. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (Neural Networks, 2009)

Learning a multi-dimensional companding function for lossy source coding. - Shin-ichi Maeda; Shin Ishii (Neural Networks, 2009)

Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles. - Naoto Yukinawa; Shigeyuki Oba; Kikuya Kato; Shin Ishii (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Hidden Markov Model for Human Decision Process in a Partially Observable Environment. - Masahiro Adomi; Yumi Shikauchi; Shin Ishii (ICANN (2), 2010)

Noise-Induced Collective Migration for Neural Crest Cells. - Masataka Yamao; Honda Naoki; Shin Ishii (ICANN (1), 2010)

Bayesian X-ray computed tomography using material class knowledge. - Wataru Fukuda; Shin-ichi Maeda; Atsunori Kanemura; Shin Ishii (ICASSP, 2010)

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. - Junichiro Hirayama; Aapo Hyvärinen; Shin Ishii (ICONIP (1), 2010)

Visual attention model involving feature-based inhibition of return. - Shinji Hotta; Shigeyuki Oba; Shin Ishii (Artif. Life Robotics, 2010)

Bayesian image superresolution and hidden variable modeling. - Atsunori Kanemura; Shin-ichi Maeda; Wataru Fukuda; Shin Ishii (J. Syst. Sci. Complex., 2010)

Hierarchical rule switching in prefrontal cortex. - Wako Yoshida; Hidefumi Funakoshi; Shin Ishii (NeuroImage, 2010)

Sparse Bayesian Learning of Filters for Efficient Image Expansion. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (IEEE Trans. Image Process., 2010)

Motion Compensated X-ray CT Algorithm for Moving Objects. - Takumi Tanaka; Shin-ichi Maeda; Shin Ishii (ICMLA (1), 2011)

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. - Junichiro Yoshimoto; Masa-aki Sato; Shin Ishii (Intell. Autom. Soft Comput., 2011)

Generalized TD Learning. - Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii (J. Mach. Learn. Res., 2011)

Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions. - Takashi Takenouchi; Shin Ishii (Mach. Learn., 2011)

Multi-scale, multi-modal neural modeling and simulation. - Shin Ishii; Markus Diesmann; Kenji Doya (Neural Networks, 2011)

A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton. - Seigo Nonaka; Honda Naoki; Shin Ishii (Neural Networks, 2011)

Incremental State Aggregation for Value Function Estimation in Reinforcement Learning. - Takeshi Mori; Shin Ishii (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. - Daichi Nakano; Shin-ichi Maeda; Shin Ishii (ICANN (2), 2012)

A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification. - Takashi Takenouchi; Shin Ishii (ICONIP (2), 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 Neuroinformatics, 2012)

Asymptotic analysis of value prediction by well-specified and misspecified models. - Tsuyoshi Ueno; Shin-ichi Maeda; Shin Ishii (Neural Networks, 2012)

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. - Makoto Fukushima; Okito Yamashita; Atsunori Kanemura; Shin Ishii; Mitsuo Kawato; Masa-aki Sato (IEEE Trans. Biomed. Eng., 2012)

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 (ICANN, 2013)

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. - Atsunori Kanemura; Yoichi Morales Saiki; Motoaki Kawanabe; Hiroshi Morioka; Nagasrikanth Kallakuri; Tetsushi Ikeda; Takahiro Miyashita; Norihiro Hagita; Shin Ishii (IROS, 2013)

Microscopic image restoration based on tensor factorization of rotated patches. - Masayuki Kouno; Ken Nakae; Shigeyuki Oba; Shin Ishii (Artif. Life Robotics, 2013)

Database-driven artifact detection method for EEG systems with few channels (DAD). - Jamilah A. Abdur-Rahim; Takeshi Ogawa; Junichiro Hirayama; Shin Ishii (BioCAS, 2014)

Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD). - Jamilah A. Abdur-Rahim; Takeshi Ogawa; Junichiro Hirayama; Shin Ishii (BioCAS, 2014)

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. - Henrik Skibbe; Marco Reisert; Shin Ishii (GCPR, 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 (IROS, 2014)

Spiking network simulation code for petascale computers. - Susanne Kunkel; Maximilian Schmidt; Jochen Martin Eppler; Hans Ekkehard Plesser; Gen Masumoto; Jun Igarashi; Shin Ishii; Tomoki Fukai; Abigail Morrison; Markus Diesmann; Moritz Helias (Frontiers Neuroinformatics, 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, 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 Comput. Biol., 2014)

Data-driven brain computer interface in real environments. - Shin Ishii (BCI, 2015)

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. - Takeshi Ogawa; Junichiro Hirayama; Pankaj Gupta; Hiroki Moriya; Shumpei Yamaguchi; Akihiro Ishikawa; Yoshihiro Inoue; Motoaki Kawanabe; Shin Ishii (EMBC, 2015)

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. - JeongHun Baek; Shigeyuki Oba; Junichiro Yoshimoto; Kenji Doya; Shin Ishii (ICONIP (3), 2015)

Inverse Reinforcement Learning Based on Behaviors of a Learning Agent. - Shunsuke Sakurai; Shigeyuki Oba; Shin Ishii (ICONIP (1), 2015)

Expanding histogram of colors with gridding to improve tracking accuracy. - Kourosh Meshgi; Shin Ishii (MVA, 2015)

Principal Sensitivity Analysis. - Sotetsu Koyamada; Masanori Koyama; Ken Nakae; Shin Ishii (PAKDD (1), 2015)

Deep learning of fMRI big data: a novel approach to subject-transfer decoding. - Sotetsu Koyamada; Yumi Shikauchi; Ken Nakae; Masanori Koyama; Shin Ishii (CoRR, 2015)

The State-of-the-Art in Handling Occlusions for Visual Object Tracking. - Kourosh Meshgi; Shin Ishii (IEICE Trans. Inf. Syst., 2015)

Learning a common dictionary for subject-transfer decoding with resting calibration. - Hiroshi Morioka; Atsunori Kanemura; Junichiro Hirayama; Manabu Shikauchi; Takeshi Ogawa; Shigeyuki Ikeda; Motoaki Kawanabe; Shin Ishii (NeuroImage, 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 Trans. Medical Imaging, 2015)

Robust discriminative tracking via query-by-bagging. - Kourosh Meshgi; Shigeyuki Oba; Shin Ishii (AVSS, 2016)

Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. - Kourosh Meshgi; Shin-ichi Maeda; Shigeyuki Oba; Shin Ishii (CRV, 2016)

Distributional Smoothing by Virtual Adversarial Examples. - Takeru Miyato; Shin-ichi Maeda; Masanori Koyama; Ken Nakae; Shin Ishii (ICLR (Poster), 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 (Comput. Vis. Image Underst., 2016)

Sparse and low-rank matrix regularization for learning time-varying Markov networks. - Junichiro Hirayama; Aapo Hyvärinen; Shin Ishii (Mach. Learn., 2016)

Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model. - Yu-zhe Li; Ken Nakae; Shin Ishii; Honda Naoki (PLoS Comput. Biol., 2016)

Active collaborative ensemble tracking. - Kourosh Meshgi; Maryam Sadat Mirzaei; Shigeyuki Oba; Shin Ishii (AVSS, 2017)

Efficient Version-Space Reduction for Visual Tracking. - Kourosh Meshgi; Shigeyuki Oba; Shin Ishii (CRV, 2017)

Individual Identification by Resting-State EEG Using Common Dictionary Learning. - Takashi Nishimoto; Yoshiki Azuma; Hiroshi Morioka; Shin Ishii (ICANN (1), 2017)

Estimation of the Change of Agents Behavior Strategy Using State-Action History. - Shihori Uchida; Shigeyuki Oba; Shin Ishii (ICANN (2), 2017)

Efficient asymmetric co-tracking using uncertainty sampling. - Kourosh Meshgi; Maryam Sadat Mirzaei; Shigeyuki Oba; Shin Ishii (ICSIPA, 2017)

Active discriminative tracking using collective memory. - Kourosh Meshgi; Shigeyuki Oba; Shin Ishii (MVA, 2017)

Neural Sequence Model Training via $α$-divergence Minimization. - Sotetsu Koyamada; Yuta Kikuchi; Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (CoRR, 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, 2017)

Efficient Diverse Ensemble for Discriminative Co-Tracking. - Kourosh Meshgi; Shigeyuki Oba; Shin Ishii (CVPR, 2018)

Binary classifiers ensemble based on Bregman divergence for multi-class classification. - Takashi Takenouchi; Shin Ishii (Neurocomputing, 2018)

Characterization of electroencephalography signals for estimating saliency features in videos. - Zhen Liang; Yasuyuki Hamada; Shigeyuki Oba; Shin Ishii (Neural Networks, 2018)

Inverse tissue mechanics of cell monolayer expansion. - Yohei Kondo; Kazuhiro Aoki; Shin Ishii (PLoS Comput. Biol., 2018)

Identification of animal behavioral strategies by inverse reinforcement learning. - Shoichiro Yamaguchi; Honda Naoki; Muneki Ikeda; Yuki Tsukada; Shunji Nakano; Ikue Mori; Shin Ishii (PLoS Comput. Biol., 2018)

Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. - Zhen Liang; Hiroshi Higashi; Shigeyuki Oba; Shin Ishii (IJCNN, 2019)

Online motion synthesis framework using a simple mass model based on predictive coding. - Jae-Pyung Hwang; Shin Ishii; Shigeyuki Oba (Symposium on Computer Animation, 2019)

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. - Henrik Skibbe; Akiya Watakabe; Ken Nakae; Carlos Enrique Gutierrez; Hiromichi Tsukada; Junichi Hata; Takashi Kawase; Rui Gong; Alexander Woodward; Kenji Doya; Hideyuki Okano; Tetsuo Yamamori; et al. (CoRR, 2019)

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. - Shota Ohnishi; Eiji Uchibe; Yotaro Yamaguchi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (Frontiers Neurorobotics, 2019)

Semi-supervised deep learning of brain tissue segmentation. - Ryo Ito; Ken Nakae; Junichi Hata; Hideyuki Okano; Shin Ishii (Neural Networks, 2019)

An unsupervised EEG decoding system for human emotion recognition. - Zhen Liang; Shigeyuki Oba; Shin Ishii (Neural Networks, 2019)

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. - Takeru Miyato; Shin-ichi Maeda; Masanori Koyama; Shin Ishii (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Noise-resistant developmental reproducibility in vertebrate somite formation. - Honda Naoki; Ryutaro Akiyama; Dini Wahyu Kartika Sari; Shin Ishii; Yasumasa Bessho; Takaaki Matsui (PLoS Comput. Biol., 2019)

PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. - Henrik Skibbe; Marco Reisert; Ken Nakae; Akiya Watakabe; Junichi Hata; Hiroaki Mizukami; Hideyuki Okano; Tetsuo Yamamori; Shin Ishii (IEEE Trans. Medical Imaging, 2019)

Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data. - Jae-Pyung Hwang; Shin Ishii; Taesoo Kwon; Shigeyuki Oba (IEEE Access, 2020)

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization. - Yoshihisa Fujita; Sho Yagishita; Haruo Kasai; Shin Ishii (Frontiers Comput. Neurosci., 2020)

Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration. - Sehyung Lee; Makiko Negishi; Hidetoshi Urakubo; Haruo Kasai; Shin Ishii (Neural Networks, 2020)

Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity. - Hidetoshi Urakubo; Sho Yagishita; Haruo Kasai; Shin Ishii (PLoS Comput. Biol., 2020)

Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder. - Kohei Ohashi; Kosuke Nakanishi; Wataru Sasaki; Yuji Yasui; Shin Ishii (IEEE Access, 2021)

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. - Zhen Liang; Rushuang Zhou; Li Zhang 041; Linling Li; Gan Huang; Zhiguo Zhang 001; Shin Ishii (CoRR, 2021)

A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking. - Akihiro Kubo; Kourosh Meshgi; Shin Ishii (J. Intell. Robotic Syst., 2021)

The critical balance between dopamine D2 receptor and RGS for the sensitive detection of a transient decay in dopamine signal. - Hidetoshi Urakubo; Sho Yagishita; Haruo Kasai; Yoshiyuki Kubota; Shin Ishii (PLoS Comput. Biol., 2021)

Mjx: A framework for Mahjong AI research. - Sotetsu Koyamada; Keigo Habara; Nao Goto; Shinri Okano; Soichiro Nishimori; Shin Ishii (CoG, 2022)

Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies. - Jae-Pyung Hwang; Gangrae Park; Taesoo Kwon; Shin Ishii (Comput. Graph. Forum, 2022)

Deep learning-based image deconstruction method with maintained saliency. - Keisuke Fujimoto; Kojiro Hayashi; Risa Katayama; Sehyung Lee; Zhen Liang; Wako Yoshida; Shin Ishii (Neural Networks, 2022)

Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks. - Sehyung Lee; Hideaki Kume; Hidetoshi Urakubo; Haruo Kasai; Shin Ishii (Neural Networks, 2022)

EEG study on anticipation of difficulty for upcoming auditory task. - Zichen Song; Hiroshi Higashi; Shin Ishii (APSIPA ASC, 2023)

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning. - Sotetsu Koyamada; Shinri Okano; Soichiro Nishimori; Yu Murata; Keigo Habara; Haruka Kita; Shin Ishii (NeurIPS, 2023)

Triangle Inequality for Inverse Optimal Control. - Sho Mitsuhashi; Shin Ishii (IEEE Access, 2023)

Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions. - Kohei Ohashi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (IEEE Access, 2023)

Pgx: Hardware-accelerated parallel game simulation for reinforcement learning. - Sotetsu Koyamada; Shinri Okano; Soichiro Nishimori; Yu Murata; Keigo Habara; Haruka Kita; Shin Ishii (CoRR, 2023)

End-to-End Policy Gradient Method for POMDPs and Explainable Agents. - Soichiro Nishimori; Sotetsu Koyamada; Shin Ishii (CoRR, 2023)

A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. - Haruka Kita; Sotetsu Koyamada; Yotaro Yamaguchi; Shin Ishii (CoG, 2024)

EEG markers for anticipated difficulty of future visual task. - Zichen Song; Hiroshi Higashi; Shin Ishii (EMBC, 2024)

A Batch Sequential Halving Algorithm without Performance Degradation. - Sotetsu Koyamada; Soichiro Nishimori; Shin Ishii (RLJ, 2024)

Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. - Kohei Ohashi; Kosuke Nakanishi; Nao Goto; Yuji Yasui; Shin Ishii (IEEE Access, 2024)

Robust off-policy Reinforcement Learning via Soft Constrained Adversary. - Kosuke Nakanishi; Akihiro Kubo; Yuji Yasui; Shin Ishii (CoRR, 2024)

Simplified Physical Model-based Balance-preserving Motion Re-targeting for Physical Simulation. - Jaepyung Hwang; Shin Ishii (Comput. Graph. Forum, 2024)

Double Horizon Model-Based Policy Optimization. - Akihiro Kubo; Paavo Parmas; Shin Ishii (Trans. Mach. Learn. Res., 2025)

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation. - Kosuke Nakanishi; Akihiro Kubo; Yuji Yasui; Shin Ishii (CoRR, 2025)