Shin Ishii

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Analysis of Structure-Function Relationship Using a Whole-Brain Dynamic Model Based on MRI Images of the Common Marmoset

Shin Ishii, Ken Nakae, Kenji Doya, 2018 .

Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2007, ICANN.

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Shin Ishii, Yoshihisa Fujita, Sho Yagishita, 2020, Frontiers in Computational Neuroscience.

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning

Shin Ishii, Yuji Yasui, Eiji Uchibe, 2019, Front. Neurorobot..

Combining multiple decisions: applications to bioinformatics

Shin Ishii, Takashi Takenouchi, Naoto Yukinawa, 2008 .

Missing Value Estimation Using Mixture of PCAs

Shin Ishii, Masa-aki Sato, Shigeyuki Oba, 2002, ICANN.

Self-organization and association for temporal coding

Shin Ishii, Ken-ichi Amemori, 1999 .

A Multiclass Classification Method Based on Decoding of Binary Classifiers

Shin Ishii, Takashi Takenouchi, S. Ishii, 2009, Neural Computation.

Neuronal network structure estimation by a modification of Granger

Shin Ishii, Shigeyuki Oba, Hikaru Harima, 2010, Neuroscience Research.

Expanding histogram of colors with gridding to improve tracking accuracy

Shin Ishii, Kourosh Meshgi, S. Ishii, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Database-driven artifact detection method for EEG systems with few channels (DAD)

Shin Ishii, Takeshi Ogawa, Jamilah A. Abdur-Rahim, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions

Shin Ishii, Takashi Bando, Tomohiro Shibata, 2007, ICONIP.

Proposal of New Reinforcement Learning with a State-independent Policy

Shin Ishii, Shin-ichi Maeda, Daichi Nakano, 2014 .

Learning of Go Board State Evaluation Function by Artificial Neural Network

Shin Ishii, Shin-ichi Maeda, Hiroki Tomizawa, 2009, ICONIP.

Neural Sequence Model Training via $\alpha$-divergence Minimization

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2017, 1706.10031.

Multiclass classification as a decoding problem

Shin Ishii, Takashi Takenouchi, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot

Shin Ishii, Yutaka Nakamura, Kentarou Hitomi, 2006, Robotics Auton. Syst..

Incremental State Aggregation for Value Function Estimation in Reinforcement Learning

Shin Ishii, Takeshi Mori, S. Ishii, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Analog λ‐opt approach to quadratic assignment problem

Shin Ishii, Hirotaka Niitsuma, Minoru Ito, 2000 .

2A1-N-065 Augmenting Robotic Sensory System Utilizing Its User's EMG and Posture Information(Cooperation between Human and Machine 3,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Shin Ishii, Tomohiro Shibata, Tomohiro Nomura, 2005 .

Learning spatio-temporal visual features by a large scale neural network model

Shin Ishii, Naoto Yukinawa, 2010, Neuroscience Research.

Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking

Shin Ishii, Takeshi Nakamura, Kazuhiro Aoki, 2008, PLoS Comput. Biol..

On-Line Learning Methods for Gaussian Processes

Shin Ishii, Masa-aki Sato, Shigeyuki Oba, 2001, ICANN.

Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference

Shin Ishii, Ken Nakae, Kenji Doya, 2019, Scientific reports.

A Statistical Method of Identifying Interactions in Neuron–Glia Systems Based on Functional Multicell Ca2+ Imaging

Yuji Ikegaya, Shin Ishii, Ken Nakae, 2014, PLoS Comput. Biol..

Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments

Shin Ishii, Yutaka Nakamura, Hajime Fujita, 2006, ICANN.

Reconstruction of chaotic dynamics using a noise-robust embedding method

Shin Ishii, Masa-aki Sato, Wako Yoshida, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Chaotic optimization method combined with coordinate transformation

Shin Ishii, Minoru Ito, Hirotaka Niitsuma, 2001 .

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation

Shin Ishii, Hajime Fujita, S. Ishii, 2007, Neural Computation.

Doubly constrained network for combinatorial optimization

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 2002, Neurocomputing.

Fast Gaussian process regression using representative data

Shin Ishii, Taku Yoshioka, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Learning a multi-dimensional companding function for lossy source coding

Shin Ishii, Shin-ichi Maeda, 2009, Neural Networks.

Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2001, ICANN.

Efficient asymmetric co-tracking using uncertainty sampling

Shin Ishii, Maryam Sadat Mirzaei, Kourosh Meshgi, 2017, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Reinforcement learning for a biped robot based on a CPG-actor-critic method

Shin Ishii, Masa-aki Sato, Yutaka Nakamura, 2007, Neural Networks.

Supercomputers Ready for Use as Discovery Machines for Neuroscience

Tomoki Fukai, Shin Ishii, Moritz Helias, 2012, Front. Neuroinform..

Efficient Diverse Ensemble for Discriminative Co-tracking

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles

Shin Ishii, Shigeyuki Oba, Naoto Yukinawa, 2009, TCBB.

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG

Shin Ishii, Masa-aki Sato, Mitsuo Kawato, 2012, IEEE Transactions on Biomedical Engineering.

Variational Bayes method for Mixture of Principal Component Analyzers

Shin Ishii, Masa-aki Sato, Shigeyuki Oba, 2003, Systems and Computers in Japan.

Semi-supervised discovery of differential genes

Shin Ishii, Shigeyuki Oba, S. Ishii, 2006, BMC Bioinformatics.

Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, Neural Networks.

Robust Model Selection for Classification of Microarrays

Shin Ishii, Ikumi Suzuki, Takashi Takenouchi, 2009, Cancer informatics.

A Generalized Encoding System for Alpha Oscillations Through Visual Saliency Analysis

Shin Ishii, Shigeyuki Oba, Zhiguo Zhang, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A probabilistic decoding approach to multi-class classification

Shin Ishii, Takashi Takenouchi, 2007, 2007 International Joint Conference on Neural Networks.

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network

Junichiro Yoshimoto, Shin Ishii, Kenji Doya, 2015, ICONIP.

A neural visualization method for WWW document clusters

Shin Ishii, Minoru Ito, Taku Yoshioka, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Application of multivariate autoregressive modeling for analyzing the interaction between EEG and EMG in humans

Shin Ishii, Tomohiro Shibata, Tatsuya Mima, 2004 .

Bayesian Collaborative Predictors for General User Modeling Tasks

Shin Ishii, Junichiro Hirayama, Takashi Takenouchi, 2007, ICONIP.

Multi-scale clustering for gene expression profiling data

Shin Ishii, Shigeyuki Oba, Kikuya Kato, 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

Adaptive control of a looper-like robot based on the CPG-actor-critic method

Shin Ishii, Yutaka Nakamura, Tomohiro Shibata, 2007, Artificial Life and Robotics.

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors

Shin Ishii, Junichiro Hirayama, Junichiro Yoshimoto, 2006, Neurocomputing.

A Bayesian missing value estimation method for gene expression profile data

Shin Ishii, Masa-aki Sato, Shigeyuki Oba, 2003, Bioinform..

A network of chaotic elements for information processing

Shin Ishii, Kenji Fukumizu, Sumio Watanabe, 1996, Neural Networks.

On-line EM Algorithm for Identification of a Linear Non-Stationary Dynamical System

Shin Ishii, Shigeyuki Oba, Mitsuru Oka, 2001 .

A multi-agent reinforcement learning method for a partially-observable competitive game

Shin Ishii, Tatsuya Yamazaki, Yoichiro Matsuno, 2001, AGENTS '01.

On-Line EM Reinforcement Learning for Automatic Control of Continuous Dynamical Systems

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003 .

Generative and discriminative model-based approaches to microscopic image restoration and segmentation

Shin Ishii, Haruo Kasai, Sehyung Lee, 2020, Microscopy.

Model-based reinforcement learning for a multi-player card game with partial observability

Shin Ishii, Hajime Fujita, S. Ishii, 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

Multi-Sensor Based State Prediction for Personal Mobility Vehicles

Shin Ishii, Jani Even, Ichiro Umata, 2016, PLoS ONE.

PAT—Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs

Shin Ishii, Ken Nakae, Hideyuki Okano, 2019, IEEE Transactions on Medical Imaging.

A model-based reinforcement learning: a computational model and an fMRI study

Shin Ishii, Wako Yoshida, S. Ishii, 2003, ESANN.

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration

Motoaki Kawanabe, Shin Ishii, Norihiro Hagita, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multi-agent reinforcement learning: an approach based on the other agent's internal model

Shin Ishii, Kenji Doya, Yasuo Nagayuki, 2000, Proceedings Fourth International Conference on MultiAgent Systems.

The NanoZoomer Connectomics Pipeline for Tracer Injection Studies of the Marmoset Brain

Shin Ishii, Ken Nakae, Hiroshi Abe, 2019, bioRxiv.

Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot

Shin Ishii, Yutaka Nakamura, Takeshi Mori, 2004, PPSN.

Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic

Shin Ishii, Yutaka Nakamura, Koh Hosoda, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Efficient Version-Space Reduction for Visual Tracking

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, 2017 14th Conference on Computer and Robot Vision (CRV).

Switching particle filters for efficient real-time visual tracking

Shin Ishii, Kenji Doya, Takashi Bando, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Reinforcement Learning Based on On-Line EM Algorithm

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1998, NIPS.

Stochastic resonance with differential code in feedforward network with intra-layer random connections

Shin Ishii, Yuichi Sakumura, 2006, Neural Networks.

Bayesian decoder for multi-class classification by mixture of divergence

Shin Ishii, Takashi Takenouchi, Noboru Murata, 2010 .

Robust discriminative tracking via query-by-bagging

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2016, 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

An improved reinforcement learning scheme for a multi-agent card game

Shin Ishii, Hajime Fujita, Yoichiro Matsuno, 2003 .

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments

Shin Ishii, Takeshi Mori, Yu Hiei, 2008, ICANN.

Human brain image registration for diffusion MRI data and neuro-fiber categorization

Shin Ishii, Shigeyuki Oba, Kevin C. Y. Chien, 2010, Neuroscience Research.

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2001, Neural Computation.

Active collaborative ensemble tracking

Shin Ishii, Maryam Sadat Mirzaei, Kourosh Meshgi, 2017, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information

Motoaki Kawanabe, Shin Ishii, Shigeyuki Oba, 2014, NeuroImage.

Noise-Induced Collective Migration for Neural Crest Cells

Shin Ishii, Honda Naoki, Masataka Yamao, 2010, ICANN.

Clustering of Gene Expression Data by Mixture of PCA Models

Shin Ishii, Shigeyuki Oba, Naotake Ogasawara, 2002, ICANN.

Acrobot control by learning the switching of multiple controllers

Junichiro Yoshimoto, Shin Ishii, Yoichi Tokita, 2005, Artificial Life and Robotics.

Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions

Shin Ishii, Takashi Takenouchi, S. Ishii, 2011, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy

Motoaki Kawanabe, Shin Ishii, Akihiro Ishikawa, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking

Shin Ishii, Yuichi Sakumura, Yuki Tsukada, 2007, ICONIP.

Reconstruction of chaotic dynamics by on-line EM algorithm

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 2001, Neural Networks.

Online motion synthesis framework using a simple mass model based on predictive coding

Shin Ishii, Shigeyuki Oba, Jaepyung Hwang, 2019, Symposium on Computer Animation.

Visual attention model involving feature-based inhibition of return

Shin Ishii, Shigeyuki Oba, Shinji Hotta, 2010, Artificial Life and Robotics.

Learning a common dictionary for subject-transfer decoding with resting calibration

Motoaki Kawanabe, Shin Ishii, Junichiro Hirayama, 2015, NeuroImage.

Switching particle filters for efficient visual tracking

Shin Ishii, Kenji Doya, Takashi Bando, 2006, Robotics Auton. Syst..

Individual Identification by Resting-State EEG Using Common Dictionary Learning

Shin Ishii, Hiroshi Morioka, Yoshiki Azuma, 2017, ICANN.

Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System

Shin Ishii, Takeshi Mori, Yuki Taniguchi, 2007, ICANN.

Neural Sequence Model Training via $α$-divergence Minimization pdf

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2017, ArXiv.

UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images

Shin Ishii, Shigeyuki Oba, Hidetoshi Urakubo, 2019, Scientific Reports.

Distributional Smoothing with Virtual Adversarial Training

Shin Ishii, Ken Nakae, Takeru Miyato, 2015, ICLR 2016.

A novel design concept for small-skew clock LSIs with the self-delay-adjustment

Shin Ishii, Hiroyuki Itoh, Bunichi Fujita, 1991, Proceedings of the 1991 Bipolar Circuits and Technology Meeting.

On-line EM Algorithm for the Normalized Gaussian Network

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 2000, Neural Computation.

Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information

Shin Ishii, Ken-ichi Amemori, 1998, ICONIP.

Optimization of Parametric Companding Function for an Efficient Coding

Shin Ishii, Shin-ichi Maeda, 2007, ICONIP.

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Shin Ishii, Takeru Miyato, Shin-ichi Maeda, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data

Taesoo Kwon, Shin Ishii, Shigeyuki Oba, 2020, IEEE Access.

Reinforcement Learning for Biped Locomotion

Shin Ishii, Masa-aki Sato, Yutaka Nakamura, 2002, ICANN.

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration

Shin Ishii, Andrzej Cichocki, Justin Dauwels, 2008, ICONIP.

An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process

Shin Ishii, Yutaka Nakamura, Takeshi Mori, 2005, ICANN.

Heterogeneous Component Analysis

Motoaki Kawanabe, Shin Ishii, Klaus-Robert Müller, 2007, NIPS.

Reinforcement Learning for Rhythmic Movements Using a Neural Oscillator Network

Shin Ishii, Masa-aki Sato, Yutaka Nakamura, 2004 .

Reinforcement learning for a snake-like robot controlled by a central pattern generator

Shin Ishii, Yutaka Nakamura, Shuichi Fukunaga, 2004, IEEE Conference on Robotics, Automation and Mechatronics, 2004..

Low-Dimensional Feature Representation for Instrument Identification

Shin Ishii, Kazushi Ikeda, Mizuki Ihara, 2012 .

The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study

Shin Ishii, Yuichi Sakumura, Yasunobu Igarashi, 2006, Neural Networks.

Ternary Bradley-Terry model-based decoding for multi-class classification

Shin Ishii, Takashi Takenouchi, S. Ishii, 2008 .

Efficient Monte Carlo Image Analysis for the Location of Vascular Entity

Kei Ito, Shin Ishii, Shigeyuki Oba, 2015, IEEE Transactions on Medical Imaging.

Control of a Free-Falling Cat by Policy-Based Reinforcement Learning

Shin Ishii, Shin-ichi Maeda, Daichi Nakano, 2012, ICANN.

Part 4: Reinforcement learning: Machine learning and natural learning

Shin Ishii, Wako Yoshida, S. Ishii, 2006, New Generation Computing.

Learning of Qusasi-Passive Dynamic Walking by a Stochastic Policy Gradient Method

Shin Ishii, Yutaka Nakamura, Kentarou Hitomi, 2005 .

A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking

Shin Ishii, Kourosh Meshgi, Akihiro Kubo, 2020, Journal of Intelligent & Robotic Systems.

Computational analysis on temperature dependent synchronization transition in neurons

Shin Ishii, Yasuomi D. Sato, Naoto Yukinawa, 2010, Neurosciences research.

Mathematical model for collective cell migration regulated by external molecular signal

Shin Ishii, Akio Murase, Naoki Honda, 2015 .

Sparse Bayesian Learning of Filters for Efficient Image Expansion

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2010, IEEE Transactions on Image Processing.

Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2001, Systems and Computers in Japan.

Interpreting Dopamine Activities in Stochastic Reward Tasks

Shin Ishii, Junichiro Hirayama, Akiyo Asahina, 2008, ICONIP.

Learning color image expansion filters

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Generalized TD Learning

Motoaki Kawanabe, Shin Ishii, Tsuyoshi Ueno, 2011, J. Mach. Learn. Res..

Superresolution from Occluded Scenes

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2009, ICONIP.

An auditory system for efficient coding of natural sounds

Shin Ishii, S.-i. Maeda, S. Maeda, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Constrained neural approaches to quadratic assignment problems

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1998, Neural Networks.

Spiking network simulation code for petascale computers

Tomoki Fukai, Shin Ishii, Moritz Helias, 2014, Front. Neuroinform..

Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD)

Shin Ishii, Takeshi Ogawa, Jamilah A. Abdur-Rahim, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

Active discriminative tracking using collective memory

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Shin Ishii, Yoshihisa Fujita, Sho Yagishita, 2019, bioRxiv.

Motion Compensated X-ray CT Algorithm for Moving Objects

Shin Ishii, Shin-ichi Maeda, Takumi Tanaka, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Learning of minimax strategy by a support vector machine

Shin Ishii, Hirotaka Niitsuma, S. Ishii, 2000 .

Superresolution with compound Markov random fields via the variational EM algorithm

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2009, Neural Networks.

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2011, Intell. Autom. Soft Comput..

Dynamic Exponential Family Matrix Factorization

Shin Ishii, Junichiro Hirayama, Kohei Hayashi, 2009, PAKDD.

Inverse tissue mechanics of cell monolayer expansion

Shin Ishii, Kazuhiro Aoki, Yohei Kondo, 2018, PLoS Comput. Biol..

Temporal Reasoning about Two Concurrent Sequences of Events

Shin Ishii, Minoru Ito, Hiroyuki Seki, 2004, SIAM J. Comput..

A probabilistic modeling of MOSAIC learning

Shin Ishii, Jun-ichiro Hirayama, Takashi Takenouchi, 2007, Artificial Life and Robotics.

Bayesian X-ray computed tomography using material class knowledge

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration

Shin Ishii, Haruo Kasai, Sehyung Lee, 2020, Neural Networks.

Robust Approximation in Decomposed Reinforcement Learning

Shin Ishii, Takeshi Mori, 2009, ICONIP.

Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data

Shin Ishii, Yutaka Nakamura, Hiroshi Ishiguro, 2013, ICANN.

Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals

Shin Ishii, Tomohiro Shibata, Tomoya Tamei, 2008, Adv. Robotics.

Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis

Shin Ishii, Junichiro Hirayama, Shin-ichi Maeda, 2007, IEEE Transactions on Neural Networks.

Estimation of the Source-Filter Model Using Temporal Dynamics

Shin Ishii, Mizuki Ihara, Shin-ichi Maeda, 2007, 2007 International Joint Conference on Neural Networks.

Prediction of protein localization sites by a support vector machine

Shin Ishii, Taku Yoshioka, T. Yoshioka, 2001 .

Decoding the view expectation during learned maze navigation from human fronto-parietal network

Shin Ishii, Yumi Shikauchi, S. Ishii, 2015, Scientific Reports.

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity

Shin Ishii, Marco Reisert, Henrik Skibbe, 2014, GCPR.

Estimation of the Change of Agents Behavior Strategy Using State-Action History

Shin Ishii, Shigeyuki Oba, Shihori Uchida, 2017, ICANN.

A reinforcement learning scheme for a multi-agent card game

Shin Ishii, Hajime Fujita, Yoichiro Matsuno, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Multiagent reinforcement learning applied to a chase problem in a continuous world

Shin Ishii, Hiroki Tamakoshi, S. Ishii, 2001, Artificial Life and Robotics.

Inverse Reinforcement Learning Based on Behaviors of a Learning Agent

Shin Ishii, Shunsuke Sakurai, Shigeyuki Oba, 2015, ICONIP.

Support for retrieving documents on the WWW by visualization

Shin Ishii, Minoru Ito, Yoshiaki Takata, 2001 .

A semiparametric statistical approach to model-free policy evaluation

Motoaki Kawanabe, Shin Ishii, Takeshi Mori, 2008, ICML '08.

Identification of Animal Behavioral Strategies by Inverse Reinforcement Learning

Shin Ishii, Ikue Mori, Honda Naoki, 2017, bioRxiv.

Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers

Shin Ishii, Shigeyuki Oba, Naoto Yukinawa, 2005, ICANN.

A Probabilistic Model of MOSAIC

Shin Ishii, Junichiro Hirayama, Takashi Takenouchi, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images

Shin Ishii, Torsten Bullmann, Hidetoshi Urakubo, 2019, Scientific Reports.

A Closed-Form Estimator of Fully Visible Boltzmann Machines

Shin Ishii, Junichiro Hirayama, 2008, ICONIP.

Normalized Gaussian Network Based on Variational Bayes Inference and Hierarchical Model Selection

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003 .

On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method

Shin Ishii, Yutaka Nakamura, Kentarou Hitomi, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Adaptive particle allocation for multifocal visual attention based on particle filtering

Shin Ishii, Tomohiro Shibata, Naomi Yano, 2008, Artificial Life and Robotics.

Binary classifiers ensemble based on Bregman divergence for multi-class classification

Shin Ishii, Takashi Takenouchi, 2018, Neurocomputing.

Noise-resistant developmental reproducibility in vertebrate somite formation

Shin Ishii, Honda Naoki, Ryutaro Akiyama, 2019, PLoS Comput. Biol..

Identification Of Animal Behavioral Strategy By Inverse Reinforcement Learning ~ Its Application To Thermotaxis In C. elegans ~

Shin Ishii, Shoichiro Yamaguchi, Ikue Mori, 2017 .

Data-driven brain computer interface in real environments

Shin Ishii, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Identification of animal behavioral strategies by inverse reinforcement learning

Shin Ishii, Shoichiro Yamaguchi, Ikue Mori, 2017, bioRxiv.

Optimal Online Learning Procedures for Model-Free Policy Evaluation

Motoaki Kawanabe, Shin Ishii, Tsuyoshi Ueno, 2009, ECML/PKDD.

Semi-supervised deep learning of brain tissue segmentation

Shin Ishii, Ken Nakae, Ryo Ito, 2019, Neural Networks.

Robust encoding of scene anticipation during human spatial navigation

Shin Ishii, Yumi Shikauchi, S. Ishii, 2016, Scientific Reports.

On-line EM algorithm and reconstruction of chaotic dynamics

Shin Ishii, M. Sato, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Sparse and low-rank matrix regularization for learning time-varying Markov networks

Shin Ishii, Aapo Hyvärinen, Junichiro Hirayama, 2016, Machine Learning.

Combfit: A Normalization Method for Array CGH Data

Shin Ishii, Shigeyuki Oba, Miki Ohira, 2006 .

Decoding scene prediction and its confidence during maze exploration

Shin Ishii, Wako Yoshida, Risa Katayama, 2019, IBRO Reports.

Reinforcement Learning for CPG-Driven Biped Robot

Shin Ishii, Masa-aki Sato, Yutaka Nakamura, 2004, AAAI.

Control of exploitation-exploration meta-parameter in reinforcement learning

Junichiro Yoshimoto, Shin Ishii, Wako Yoshida, 2002, Neural Networks.

On-Line EM Algorithm for Mixture of Local Experts

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1998, International Conference on Neural Information Processing.

Separation of exploration and exploitation in maze navigation task

Shin Ishii, Yumi Shikauchi, Masahiro Adomi, 2010, Neurosciences research.

Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model

Shin Ishii, Ken Nakae, Honda Naoki, 2016, PLoS Comput. Biol..

Semi-supervised Significance Score of Differential Gene Expressions

Shin Ishii, Shigeyuki Oba, 2006, ICANN.

A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton

Shin Ishii, Honda Naoki, Seigo Nonaka, 2011, Neural Networks.

Principal Sensitivity Analysis

Shin Ishii, Ken Nakae, Masanori Koyama, 2014, PAKDD.

Unsupervised learning of temporal sequence coded by small interval differences

Shin Ishii, Kenichi Amemori, S. Ishii, 1998 .

COLLABORATIVE PREDICTION BY MULTIPLE BAYESIAN NETWORKS AND ITS APPLICATION TO PRINTER USAGE MODELING

Shin Ishii, Takashi Takenouchi, Masashi Nakatomi, 2008 .

Self-Organization and Association for Fine Spatio-Temporal Spike Sequences

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2000 .

The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain

Shin Ishii, Ken Nakae, Hideyuki Okano, 2020, Brain Structure and Function.

Distributional Smoothing by Virtual Adversarial Examples pdf

Shin Ishii, Ken Nakae, Takeru Miyato, 2015, ICLR.

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography pdf

Shin Ishii, Ken Nakae, Kenji Doya, 2019, ArXiv.

Application of reinforcement learning to balancing of Acrobot

Junichiro Yoshimoto, Shin Ishii, M. Sato, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations

Tomoki Fukai, Shin Ishii, Moritz Helias, 2013, BMC Neuroscience.

Clustering for time-series gene expression data using mixture of constrained PCAS

Shin Ishii, Taku Yoshioka, S. Ishii, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Bayesian representation learning in the cortex regulated by acetylcholine

Shin Ishii, Junichiro Hirayama, Junichiro Yoshimoto, 2004, Neural Networks.

Hidden Markov Model for Human Decision Process in a Partially Observable Environment

Shin Ishii, Yumi Shikauchi, Masahiro Adomi, 2010, ICANN.

Characterization of electroencephalography signals for estimating saliency features in videos

Shin Ishii, Shigeyuki Oba, Yasuyuki Hamada, 2018, Neural Networks.

Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles

Shin Ishii, Shigeyuki Oba, Naoto Yukinawa, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning chaotic dynamics under noise with on-line EM algorithm

Shin Ishii, Masa-aki Sato, Wako Yoshida, 2001 .

A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game

Shin Ishii, Tatsuya Yamazaki, Jun Matsuda, 2005, Machine Learning.

Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos

Shin Ishii, Zhen Liang, Shigeyuki Oba, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Significance Test of Clusters in Gene Expression Profile Data

Shin Ishii, Shigeyuki Oba, Natsuko Kawase, 2003 .

EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability

Shin Ishii, Hiroshi Morioka, Hiroshi Higashi, 2020, Journal of neural engineering.

Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model

Shin Ishii, Shin-ichi Maeda, Wen-Jie Song, 2005, Neural Computation.

Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics

Shin Ishii, Mizuki Ihara, Shin-ichi Maeda, 2009, Neural Computing and Applications.

Deep learning of fMRI big data: a novel approach to subject-transfer decoding pdf

Shin Ishii, Ken Nakae, Yumi Shikauchi, 2015, ArXiv.

An Additive Reinforcement Learning

Shin Ishii, Takeshi Mori, 2009, ICANN.

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003, ICANN.

Chaotic Potts Spin Model for Combinatorial Optimization Problems

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1997, Neural Networks.

Asymptotic analysis of value prediction by well-specified and misspecified models

Shin Ishii, Tsuyoshi Ueno, Shin-ichi Maeda, 2012, Neural Networks.

A reinforcement learning for continuous systems

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2000 .

Parameter estimation for von Mises–Fisher distributions

Shin Ishii, Kenji Fukumizu, Takashi Takenouchi, 2007, Comput. Stat..

Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning

Shin Ishii, Minoru Ito, Taku Yoshioka, 1999, ICONIP.

Eliminating Spurious Memories in a Network of Chaotic Elements

Shin Ishii, S. Ishii, 1997, J. Intell. Fuzzy Syst..

-Opt Neural Approaches to Quadratic Assignment Problems

Shin Ishii, Hirotaka Niitsuma, S. Ishii, 2000, Neural Computation.

Self-organization of delay lines by spike-time-dependent learning

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2004, Neurocomputing.

Localizing focal current sources from MEG data based on state-space approach

Shin Ishii, Masa-aki Sato, Atsunori Kanemura, 2011, Neuroscience Research.

An occlusion-aware particle filter tracker to handle complex and persistent occlusions

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2016, Computer Vision and Image Understanding.

A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification

Shin Ishii, Takashi Takenouchi, 2012, ICONIP.

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes

Shin Ishii, Takeshi Mori, Yuki Taniguchi, 2008, ICANN.

適応的サンプリングによる階層モデル化された対象の効率的状態推定;適応的サンプリングによる階層モデル化された対象の効率的状態推定;An Efficient Adaptive Sampling Algorithm for Particle Filtering of the Hierarchically-Modeled Object

Shin Ishii, Takashi Bando, Mikio Shimizu, 2006 .

Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion (情報論的学習理論と機械学習)

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2013 .

Multi-scale, multi-modal neural modeling and simulation

Shin Ishii, Markus Diesmann, Kenji Doya, 2011, Neural Networks.

The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Shin Ishii, Kourosh Meshgi, S. Ishii, 2015, IEICE Trans. Inf. Syst..

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers

Shin Ishii, Aapo Hyvärinen, Junichiro Hirayama, 2010, ICONIP.

Analog lambda-opt approach to quadratic assignment problem

Shin Ishii, Minoru Ito, Hirotaka Niitsuma, 2000, Systems and Computers in Japan.

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG With an Application to Emotion Recognition

Shin Ishii, Li Zhang, Linling Li, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

High‐Speed Multineuron Calcium Imaging Using Nipkow‐Type Confocal Microscopy

Norio Matsuki, Yuji Ikegaya, Shin Ishii, 2011, Current protocols in neuroscience.

Prediction of recurrence in advanced gastric cancer patients after curative resection by gene expression profiling

Shin Ishii, Shigeyuki Oba, Morito Monden, 2005, International journal of cancer.

Maximum a posteriori X-ray computed tomography using graph cuts

Shin Ishii, Atsunori Kanemura, Shin-ichi Maeda, 2010 .

Molecular-based prediction of early recurrence in hepatocellular carcinoma.

Shin Ishii, Shigeyuki Oba, Hiroaki Nagano, 2004, Journal of hepatology.

混合 von Mises-Fisher 分布に対する変分法的ベイズ推定 Variational Bayes Inference of Mixtured von Mises-Fisher Distribution

Shin Ishii, Kenji Fukumizu, Shigeyuki Oba, 2004 .

Molecular features of non-B, non-C hepatocellular carcinoma: a PCR-array gene expression profiling study.

Shin Ishii, Shigeyuki Oba, Hiroaki Nagano, 2003, Journal of hepatology.

Occlusion aware particle filter tracker to handle complex and persistent occlusions ( Supplementary Material )

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2014 .