Shin Ishii
Orcid: 0000-0001-9385-8230
According to our database1,
Shin Ishii
authored at least 193 papers
between 1995 and 2024.
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Bibliography
2024
Simplified Physical Model-based Balance-preserving Motion Re-targeting for Physical Simulation.
Comput. Graph. Forum, February, 2024
Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems.
IEEE Access, 2024
A Batch Sequential Halving Algorithm without Performance Degradation.
RLJ, 2024
Proceedings of the IEEE Conference on Games, 2024
2023
CoRR, 2023
Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks.
Neural Networks, 2022
Neural Networks, 2022
Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies.
Comput. Graph. Forum, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
The critical balance between dopamine D2 receptor and RGS for the sensitive detection of a transient decay in dopamine signal.
PLoS Comput. Biol., 2021
A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking.
J. Intell. Robotic Syst., 2021
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.
CoRR, 2021
IEEE Access, 2021
2020
Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity.
PLoS Comput. Biol., 2020
Neural Networks, 2020
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization.
Frontiers Comput. Neurosci., 2020
Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data.
IEEE Access, 2020
2019
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs.
IEEE Trans. Medical Imaging, 2019
PLoS Comput. Biol., 2019
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Neural Networks, 2019
Frontiers Neurorobotics, 2019
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography.
CoRR, 2019
Online motion synthesis framework using a simple mass model based on predictive coding.
Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
PLoS Comput. Biol., 2018
Characterization of electroencephalography signals for estimating saliency features in videos.
Neural Networks, 2018
Binary classifiers ensemble based on Bregman divergence for multi-class classification.
Neurocomputing, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.
Neural Networks, 2017
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 14th Conference on Computer and Robot Vision, 2017
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017
2016
Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model.
PLoS Comput. Biol., 2016
Mach. Learn., 2016
An occlusion-aware particle filter tracker to handle complex and persistent occlusions.
Comput. Vis. Image Underst., 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016
2015
IEEE Trans. Medical Imaging, 2015
NeuroImage, 2015
IEICE Trans. Inf. Syst., 2015
CoRR, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2014
A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging.
PLoS Comput. Biol., 2014
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.
NeuroImage, 2014
Frontiers Neuroinformatics, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD).
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
Artif. Life Robotics, 2013
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Neural Networks, 2012
Frontiers Neuroinformatics, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
Incremental State Aggregation for Value Function Estimation in Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2011
A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton.
Neural Networks, 2011
Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions.
Mach. Learn., 2011
Intell. Autom. Soft Comput., 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
IEEE Trans. Image Process., 2010
J. Syst. Sci. Complex., 2010
Artif. Life Robotics, 2010
Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Hidden Markov Model for Human Decision Process in a Partially Observable Environment.
Proceedings of the Artificial Neural Networks, 2010
2009
Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
Neural Networks, 2009
Neural Networks, 2009
Neural Comput., 2009
Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics.
Neural Comput. Appl., 2009
A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data.
Inf. Media Technol., 2009
Adaptive particle allocation for multifocal visual attention based on particle filtering.
Artif. Life Robotics, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the Artificial Neural Networks, 2009
2008
Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking.
PLoS Comput. Biol., 2008
Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals.
Adv. Robotics, 2008
Artif. Life Robotics, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Machine Learning, 2008
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes.
Proceedings of the Artificial Neural Networks, 2008
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments.
Proceedings of the Artificial Neural Networks, 2008
2007
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis.
IEEE Trans. Neural Networks, 2007
Neural Networks, 2007
Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation.
Neural Comput., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System.
Proceedings of the Artificial Neural Networks, 2007
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
Robotics Auton. Syst., 2006
Robotics Auton. Syst., 2006
Stochastic resonance with differential code in feedforward network with intra-layer random connections.
Neural Networks, 2006
The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study.
Neural Networks, 2006
New Gener. Comput., 2006
Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors.
Neurocomputing, 2006
Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
Proceedings of the Artificial Neural Networks, 2006
Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments.
Proceedings of the Artificial Neural Networks, 2006
2005
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.
Neural Comput., 2005
Mach. Learn., 2005
Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller.
J. Robotics Mechatronics, 2005
Neurocomputing, 2005
Artif. Life Robotics, 2005
On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Model-based reinforcement learning for a multi-player card game with partial observability.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005
2004
Neural Networks, 2004
Neurocomputing, 2004
Reinforcement learning for a snake-like robot controlled by a central pattern generator.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Syst. Comput. Jpn., 2003
Bioinform., 2003
Proceedings of the IEEE International Conference on Systems, 2003
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
A multiagent reinforcement learning method based on the model inference of the other agents.
Syst. Comput. Jpn., 2002
Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.
Syst. Comput. Jpn., 2001
Neural Comput., 2001
Artif. Life Robotics, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
A multi-agent reinforcement learning method for a partially-observable competitive game.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001
2000
Syst. Comput. Jpn., 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1998
Neural Networks, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
On-Line EM Algorithm for Mixture of Local Experts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Neural Networks, 1997
J. Intell. Fuzzy Syst., 1997
1996
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995