Shin Ishii - RankMe

210 papers A* 6A 5B 13C 13Misc 4Journal 115Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Double Horizon Model-Based Policy Optimization. CoRR Akihiro Kubo, Paavo Parmas, Shin Ishii
2025	J	`jnl`	Double Horizon Model-Based Policy Optimization. Trans. Mach. Learn. Res. Akihiro Kubo, Paavo Parmas, Shin Ishii
2025	—	`conf`	Implicit Neural Representations for Brain Image Registration Between Human and Marmoset. ICONIP (2) Keisuke Fujimoto, Shin Ishii, Rui Gong, Ken Nakae, Noritaka Ichinohe, Henrik Skibbe
2025	J	`jnl`	Neural mechanisms of individual differences in prior weight during scene recognition. NeuroImage Tien Cuong Phi, Kojiro Hayashi, Risa Katayama, Ken Nakae, Shin Ishii
2025	A*	`conf`	Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation. ICML Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii
2025	J	`jnl`	Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation. CoRR Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii
2024	J	`jnl`	A Batch Sequential Halving Algorithm without Performance Degradation. RLJ Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii
2024	J	`jnl`	A Batch Sequential Halving Algorithm without Performance Degradation. CoRR Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii
2024	C	`conf`	A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. CoG Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi, Shin Ishii
2024	J	`jnl`	A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. CoRR Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi, Shin Ishii
2024	—	`conf`	EEG markers for anticipated difficulty of future visual task. EMBC Zichen Song, Hiroshi Higashi, Shin Ishii
2024	J	`jnl`	Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. IEEE Access Kohei Ohashi, Kosuke Nakanishi, Nao Goto, Yuji Yasui, Shin Ishii
2024	J	`jnl`	Robust off-policy Reinforcement Learning via Soft Constrained Adversary. CoRR Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii
2024	J	`jnl`	Simplified Physical Model-based Balance-preserving Motion Re-targeting for Physical Simulation. Comput. Graph. Forum Jaepyung Hwang, Shin Ishii
2023	J	`jnl`	Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions. IEEE Access Kohei Ohashi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii
2023	—	`conf`	EEG study on anticipation of difficulty for upcoming auditory task. APSIPA ASC Zichen Song, Hiroshi Higashi, Shin Ishii
2023	J	`jnl`	End-to-End Policy Gradient Method for POMDPs and Explainable Agents. CoRR Soichiro Nishimori, Sotetsu Koyamada, Shin Ishii
2023	A*	`conf`	Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning. NeurIPS Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii
2023	J	`jnl`	Pgx: Hardware-accelerated parallel game simulation for reinforcement learning. CoRR Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii
2023	J	`jnl`	Triangle Inequality for Inverse Optimal Control. IEEE Access Sho Mitsuhashi, Shin Ishii
2022	J	`jnl`	Deep learning-based image deconstruction method with maintained saliency. Neural Networks Keisuke Fujimoto, Kojiro Hayashi, Risa Katayama, Sehyung Lee, Zhen Liang, Wako Yoshida, Shin Ishii
2022	C	`conf`	Mjx: A framework for Mahjong AI research. CoG Sotetsu Koyamada, Keigo Habara, Nao Goto, Shinri Okano, Soichiro Nishimori, Shin Ishii
2022	J	`jnl`	Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies. Comput. Graph. Forum Jae-Pyung Hwang, Gangrae Park, Taesoo Kwon, Shin Ishii
2022	J	`jnl`	Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks. Neural Networks Sehyung Lee, Hideaki Kume, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii
2021	J	`jnl`	A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking. J. Intell. Robotic Syst. Akihiro Kubo, Kourosh Meshgi, Shin Ishii
2021	J	`jnl`	Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder. IEEE Access Kohei Ohashi, Kosuke Nakanishi, Wataru Sasaki, Yuji Yasui, Shin Ishii
2021	J	`jnl`	EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. CoRR Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii
2021	J	`jnl`	The critical balance between dopamine D2 receptor and RGS for the sensitive detection of a transient decay in dopamine signal. PLoS Comput. Biol. Hidetoshi Urakubo, Sho Yagishita, Haruo Kasai, Yoshiyuki Kubota, Shin Ishii
2020	J	`jnl`	Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization. Frontiers Comput. Neurosci. Yoshihisa Fujita, Sho Yagishita, Haruo Kasai, Shin Ishii
2020	J	`jnl`	Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data. IEEE Access Jae-Pyung Hwang, Shin Ishii, Taesoo Kwon, Shigeyuki Oba
2020	J	`jnl`	Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration. Neural Networks Sehyung Lee, Makiko Negishi, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii
2020	J	`jnl`	Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity. PLoS Comput. Biol. Hidetoshi Urakubo, Sho Yagishita, Haruo Kasai, Shin Ishii
2019	J	`jnl`	An unsupervised EEG decoding system for human emotion recognition. Neural Networks Zhen Liang, Shigeyuki Oba, Shin Ishii
2019	B	`conf`	Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. IJCNN Zhen Liang, Hiroshi Higashi, Shigeyuki Oba, Shin Ishii
2019	J	`jnl`	Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. Frontiers Neurorobotics Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii
2019	J	`jnl`	MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. CoRR 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, Shin Ishii
2019	J	`jnl`	Noise-resistant developmental reproducibility in vertebrate somite formation. PLoS Comput. Biol. Honda Naoki, Ryutaro Akiyama, Dini Wahyu Kartika Sari, Shin Ishii, Yasumasa Bessho, Takaaki Matsui
2019	—	`conf`	Online motion synthesis framework using a simple mass model based on predictive coding. Symposium on Computer Animation Jae-Pyung Hwang, Shin Ishii, Shigeyuki Oba
2019	J	`jnl`	PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. IEEE Trans. Medical Imaging Henrik Skibbe, Marco Reisert, Ken Nakae, Akiya Watakabe, Junichi Hata, Hiroaki Mizukami, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii
2019	J	`jnl`	Semi-supervised deep learning of brain tissue segmentation. Neural Networks Ryo Ito, Ken Nakae, Junichi Hata, Hideyuki Okano, Shin Ishii
2019	J	`jnl`	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2018	J	`jnl`	Binary classifiers ensemble based on Bregman divergence for multi-class classification. Neurocomputing Takashi Takenouchi, Shin Ishii
2018	J	`jnl`	Characterization of electroencephalography signals for estimating saliency features in videos. Neural Networks Zhen Liang, Yasuyuki Hamada, Shigeyuki Oba, Shin Ishii
2018	A*	`conf`	Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2018	J	`jnl`	Identification of animal behavioral strategies by inverse reinforcement learning. PLoS Comput. Biol. Shoichiro Yamaguchi, Honda Naoki, Muneki Ikeda, Yuki Tsukada, Shunji Nakano, Ikue Mori, Shin Ishii
2018	J	`jnl`	Inverse tissue mechanics of cell monolayer expansion. PLoS Comput. Biol. Yohei Kondo, Kazuhiro Aoki, Shin Ishii
2017	J	`jnl`	Active Collaborative Ensemble Tracking. CoRR Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii
2017	B	`conf`	Active collaborative ensemble tracking. AVSS Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii
2017	Misc	`conf`	Active discriminative tracking using collective memory. MVA Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2017	J	`jnl`	Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
2017	J	`jnl`	Efficient Asymmetric Co-Tracking using Uncertainty Sampling. CoRR Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii
2017	J	`jnl`	Efficient Diverse Ensemble for Discriminative Co-Tracking. CoRR Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2017	—	`conf`	Efficient Version-Space Reduction for Visual Tracking. CRV Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2017	J	`jnl`	Efficient Version-Space Reduction for Visual Tracking. CoRR Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2017	—	`conf`	Efficient asymmetric co-tracking using uncertainty sampling. ICSIPA Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii
2017	—	`conf`	Estimation of the Change of Agents Behavior Strategy Using State-Action History. ICANN (2) Shihori Uchida, Shigeyuki Oba, Shin Ishii
2017	—	`conf`	Individual Identification by Resting-State EEG Using Common Dictionary Learning. ICANN (1) Takashi Nishimoto, Yoshiki Azuma, Hiroshi Morioka, Shin Ishii
2017	J	`jnl`	Neural Sequence Model Training via $α$-divergence Minimization. CoRR Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2017	J	`jnl`	Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2016	J	`jnl`	An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii
2016	—	`conf`	Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. CRV Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
2016	A*	`conf`	Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii
2016	B	`conf`	Robust discriminative tracking via query-by-bagging. AVSS Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
2016	J	`jnl`	Sparse and low-rank matrix regularization for learning time-varying Markov networks. Mach. Learn. Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii
2016	J	`jnl`	Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model. PLoS Comput. Biol. Yu-zhe Li, Ken Nakae, Shin Ishii, Honda Naoki
2015	—	`conf`	Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. EMBC Takeshi Ogawa, Junichiro Hirayama, Pankaj Gupta, Hiroki Moriya, Shumpei Yamaguchi, Akihiro Ishikawa, Yoshihiro Inoue, Motoaki Kawanabe, Shin Ishii
2015	—	`conf`	Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. ICONIP (3) Jeonghun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii
2015	—	`conf`	Data-driven brain computer interface in real environments. BCI Shin Ishii
2015	J	`jnl`	Deep learning of fMRI big data: a novel approach to subject-transfer decoding. CoRR Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii
2015	J	`jnl`	Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. IEEE Trans. Medical Imaging Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii
2015	Misc	`conf`	Expanding histogram of colors with gridding to improve tracking accuracy. MVA Kourosh Meshgi, Shin Ishii
2015	—	`conf`	Inverse Reinforcement Learning Based on Behaviors of a Learning Agent. ICONIP (1) Shunsuke Sakurai, Shigeyuki Oba, Shin Ishii
2015	J	`jnl`	Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage Hiroshi Morioka, Atsunori Kanemura, Junichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii
2015	—	`conf`	Principal Sensitivity Analysis. PAKDD (1) Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
2015	J	`jnl`	The State-of-the-Art in Handling Occlusions for Visual Object Tracking. IEICE Trans. Inf. Syst. Kourosh Meshgi, Shin Ishii
2014	J	`jnl`	A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging. PLoS Comput. Biol. Ken Nakae, Yuji Ikegaya, Tomoe Ishikawa, Shigeyuki Oba, Hidetoshi Urakubo, Masanori Koyama, Shin Ishii
2014	—	`conf`	Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii
2014	J	`jnl`	Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage Hiroshi Morioka, Atsunori Kanemura, Satoshi Morimoto, Taku Yoshioka, Shigeyuki Oba, Motoaki Kawanabe, Shin Ishii
2014	—	`conf`	Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. GCPR Henrik Skibbe, Marco Reisert, Shin Ishii
2014	—	`conf`	Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii
2014	A	`conf`	Modeling of human velocity habituation for a robotic wheelchair. IROS Yoichi Morales, Jamilah A. Abdur-Rahim, Jani Even, Atsushi Watanabe, Tadahisa Kondo, Norihiro Hagita, Takeshi Ogawa, Shin Ishii
2014	J	`jnl`	Principal Sensitivity Analysis. CoRR Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
2014	J	`jnl`	Spiking network simulation code for petascale computers. Frontiers Neuroinformatics Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
2013	A	`conf`	A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii
2013	C	`conf`	Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data. ICANN Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro
2013	J	`jnl`	Microscopic image restoration based on tensor factorization of rotated patches. Artif. Life Robotics Masayuki Kouno, Ken Nakae, Shigeyuki Oba, Shin Ishii
2012	J	`jnl`	A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. IEEE Trans. Biomed. Eng. Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato
2012	—	`conf`	A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification. ICONIP (2) Takashi Takenouchi, Shin Ishii
2012	J	`jnl`	Asymptotic analysis of value prediction by well-specified and misspecified models. Neural Networks Tsuyoshi Ueno, Shin-ichi Maeda, Shin Ishii
2012	—	`conf`	Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. ICANN (2) Daichi Nakano, Shin-ichi Maeda, Shin Ishii
2012	J	`jnl`	Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers Neuroinformatics Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann
2011	J	`jnl`	A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton. Neural Networks Seigo Nonaka, Honda Naoki, Shin Ishii
2011	J	`jnl`	Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. Intell. Autom. Soft Comput. Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii
2011	J	`jnl`	Generalized TD Learning. J. Mach. Learn. Res. Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2011	J	`jnl`	Incremental State Aggregation for Value Function Estimation in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part B Takeshi Mori, Shin Ishii
2011	—	`conf`	Motion Compensated X-ray CT Algorithm for Moving Objects. ICMLA (1) Takumi Tanaka, Shin-ichi Maeda, Shin Ishii
2011	J	`jnl`	Multi-scale, multi-modal neural modeling and simulation. Neural Networks Shin Ishii, Markus Diesmann, Kenji Doya
2011	J	`jnl`	Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions. Mach. Learn. Takashi Takenouchi, Shin Ishii
2010	Misc	`conf`	Bayesian X-ray computed tomography using material class knowledge. ICASSP Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii
2010	J	`jnl`	Bayesian image superresolution and hidden variable modeling. J. Syst. Sci. Complex. Atsunori Kanemura, Shin-ichi Maeda, Wataru Fukuda, Shin Ishii
2010	—	`conf`	Hidden Markov Model for Human Decision Process in a Partially Observable Environment. ICANN (2) Masahiro Adomi, Yumi Shikauchi, Shin Ishii
2010	J	`jnl`	Hierarchical rule switching in prefrontal cortex. NeuroImage Wako Yoshida, Hidefumi Funakoshi, Shin Ishii
2010	—	`conf`	Noise-Induced Collective Migration for Neural Crest Cells. ICANN (1) Masataka Yamao, Honda Naoki, Shin Ishii
2010	J	`jnl`	Sparse Bayesian Learning of Filters for Efficient Image Expansion. IEEE Trans. Image Process. Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2010	—	`conf`	Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. ICONIP (1) Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii
2010	J	`jnl`	Visual attention model involving feature-based inhibition of return. Artif. Life Robotics Shinji Hotta, Shigeyuki Oba, Shin Ishii
2009	J	`jnl`	A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data. Inf. Media Technol. Naoto Yukinawa, Taku Yoshioka, Kazuo Kobayashi, Naotake Ogasawara, Shin Ishii
2009	J	`jnl`	A Multiclass Classification Method Based on Decoding of Binary Classifiers. Neural Comput. Takashi Takenouchi, Shin Ishii
2009	J	`jnl`	Adaptive particle allocation for multifocal visual attention based on particle filtering. Artif. Life Robotics Naomi Yano, Tomohiro Shibata, Shin Ishii
2009	—	`conf`	An Additive Reinforcement Learning. ICANN (1) Takeshi Mori, Shin Ishii
2009	B	`conf`	Dynamic Exponential Family Matrix Factorization. PAKDD Kohei Hayashi, Junichiro Hirayama, Shin Ishii
2009	J	`jnl`	Learning a multi-dimensional companding function for lossy source coding. Neural Networks Shin-ichi Maeda, Shin Ishii
2009	B	`conf`	Learning color image expansion filters. ICIP Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2009	—	`conf`	Learning of Go Board State Evaluation Function by Artificial Neural Network. ICONIP (1) Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii
2009	J	`jnl`	Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii
2009	—	`conf`	Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2009	—	`conf`	Robust Approximation in Decomposed Reinforcement Learning. ICONIP (1) Takeshi Mori, Shin Ishii
2009	J	`jnl`	Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics. Neural Comput. Appl. Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
2009	—	`conf`	Superresolution from Occluded Scenes. ICONIP (2) Wataru Fukuda, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2009	J	`jnl`	Superresolution with compound Markov random fields via the variational EM algorithm. Neural Networks Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2008	—	`conf`	A Closed-Form Estimator of Fully Visible Boltzmann Machines. ICONIP (2) Junichiro Hirayama, Shin Ishii
2008	—	`conf`	A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. ICANN (1) Yuki Taniguchi, Takeshi Mori, Shin Ishii
2008	J	`jnl`	A probabilistic modeling of MOSAIC learning. Artif. Life Robotics Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii
2008	A*	`conf`	A semiparametric statistical approach to model-free policy evaluation. ICML Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii
2008	J	`jnl`	Adaptive control of a looper-like robot based on the CPG-actor-critic method. Artif. Life Robotics Kenji Makino, Yutaka Nakamura, Tomohiro Shibata, Shin Ishii
2008	—	`conf`	Interpreting Dopamine Activities in Stochastic Reward Tasks. ICONIP (1) Akiyo Asahina, Junichiro Hirayama, Shin Ishii
2008	—	`conf`	On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki
2008	J	`jnl`	Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking. PLoS Comput. Biol. Yuki Tsukada, Kazuhiro Aoki, Takeshi Nakamura, Yuichi Sakumura, Michiyuki Matsuda, Shin Ishii
2008	—	`conf`	Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. ICANN (1) Yu Hiei, Takeshi Mori, Shin Ishii
2008	J	`jnl`	Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals. Adv. Robotics Tomoya Tamei, Shin Ishii, Tomohiro Shibata
2007	—	`conf`	A Probabilistic Model of MOSAIC. FOCI Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii
2007	B	`conf`	A probabilistic decoding approach to multi-class classification. IJCNN Takashi Takenouchi, Shin Ishii
2007	—	`conf`	Bayesian Collaborative Predictors for General User Modeling Tasks. ICONIP (1) Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii
2007	J	`jnl`	Combfit: A Normalization Method for Array CGH Data. Inf. Media Technol. Shigeyuki Oba, Nobumoto Tomioka, Miki Ohira, Shin Ishii
2007	—	`conf`	Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
2007	B	`conf`	Estimation of the Source-Filter Model Using Temporal Dynamics. IJCNN Mizuki Ihara, Shin-ichi Maeda, Shin Ishii
2007	—	`conf`	Heterogeneous Component Analysis. NIPS Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii
2007	J	`jnl`	Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. IEEE Trans. Neural Networks Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii
2007	J	`jnl`	Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. Neural Comput. Hajime Fujita, Shin Ishii
2007	—	`conf`	Multiclass classification as a decoding problem. FOCI Takashi Takenouchi, Shin Ishii
2007	—	`conf`	Optimization of Parametric Companding Function for an Efficient Coding. ICONIP (1) Shin-ichi Maeda, Shin Ishii
2007	J	`jnl`	Parameter estimation for von Mises-Fisher distributions. Comput. Stat. Akihiro Tanabe, Kenji Fukumizu, Shigeyuki Oba, Takashi Takenouchi, Shin Ishii
2007	—	`conf`	Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking. ICONIP (2) Yuki Tsukada, Yuichi Sakumura, Shin Ishii
2007	—	`conf`	Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. ICANN (1) Yuki Taniguchi, Takeshi Mori, Shin Ishii
2007	J	`jnl`	Reinforcement learning for a biped robot based on a CPG-actor-critic method. Neural Networks Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii
2007	—	`conf`	Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. ICONIP (1) Tomohiro Shibata, Takashi Bando, Shin Ishii
2006	J	`jnl`	Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. Neurocomputing Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii
2006	A	`conf`	Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic. IROS Tsuyoshi Ueno, Yutaka Nakamura, Takashi Takuma, Tomohiro Shibata, Koh Hosoda, Shin Ishii
2006	—	`conf`	Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. ICANN (1) Hajime Fujita, Yutaka Nakamura, Shin Ishii
2006	J	`jnl`	Reinforcement Learning: Machine Learning and Natural Learning. New Gener. Comput. Shin Ishii, Wako Yoshida
2006	J	`jnl`	Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot. Robotics Auton. Syst. Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii
2006	—	`conf`	Semi-supervised Significance Score of Differential Gene Expressions. ICANN (2) Shigeyuki Oba, Shin Ishii
2006	J	`jnl`	Semi-supervised discovery of differential genes. BMC Bioinform. Shigeyuki Oba, Shin Ishii
2006	J	`jnl`	Stochastic resonance with differential code in feedforward network with intra-layer random connections. Neural Networks Yuichi Sakumura, Shin Ishii
2006	J	`jnl`	Switching particle filters for efficient visual tracking. Robotics Auton. Syst. Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
2006	J	`jnl`	The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study. Neural Networks Yasunobu Igarashi, Yuichi Sakumura, Shin Ishii
2005	J	`jnl`	A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. Mach. Learn. Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno
2005	J	`jnl`	Acrobot control by learning the switching of multiple controllers. Artif. Life Robotics Junichiro Yoshimoto, Masaya Nishimura, Yoichi Tokita, Shin Ishii
2005	—	`conf`	An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. ICANN (2) Yutaka Nakamura, Takeshi Mori, Shin Ishii
2005	—	`conf`	Model-based reinforcement learning for a multi-player card game with partial observability. IAT Hajime Fujita, Shin Ishii
2005	J	`jnl`	Model-based reinforcement learning: a computational model and an fMRI study. Neurocomputing Wako Yoshida, Shin Ishii
2005	C	`conf`	Multi-Scale Clustering for Gene Expression Profiling Data. BIBE Shigeyuki Oba, Kikuya Kato, Shin Ishii
2005	—	`conf`	Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. ICANN (2) Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii
2005	J	`jnl`	Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. Neural Comput. Shin-ichi Maeda, Wen-Jie Song, Shin Ishii
2005	J	`jnl`	Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller. J. Robotics Mechatronics Yutaka Nakamura, Takeshi Mori, Yoichi Tokita, Tomohiro Shibata, Shin Ishii
2005	A	`conf`	On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method. IROS Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii
2004	B	`conf`	A solving method for MDPs by minimizing variational free energy. IJCNN Junichiro Yoshimoto, Shin Ishii
2004	J	`jnl`	Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii
2004	A	`conf`	Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. PPSN Yutaka Nakamura, Takeshi Mori, Shin Ishii
2004	A*	`conf`	Reinforcement Learning for CPG-Driven Biped Robot. AAAI Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii
2004	—	`conf`	Reinforcement learning for a snake-like robot controlled by a central pattern generator. RAM Shuichi Fukunaga, Yutaka Nakamura, Kazuaki Aso, Shin Ishii
2004	J	`jnl`	Self-organization of delay lines by spike-time-dependent learning. Neurocomputing Ken-ichi Amemori, Shin Ishii
2004	—	`conf`	Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
2004	J	`jnl`	Temporal Reasoning about Two Concurrent Sequences of Events. SIAM J. Comput. Yasunori Ishihara, Shin Ishii, Hiroyuki Seki, Minoru Ito
2003	J	`jnl`	A Bayesian missing value estimation method for gene expression profile data. Bioinform. Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii
2003	B	`conf`	A model-based reinforcement learning: a computational model and an fMRI study. ESANN Wako Yoshida, Shin Ishii
2003	B	`conf`	A reinforcement learning scheme for a multi-agent card game. SMC Hajime Fujita, Yoichiro Matsuno, Shin Ishii
2003	C	`conf`	Prior Hyperparameters in Bayesian PCA. ICANN Shigeyuki Oba, Masa-aki Sato, Shin Ishii
2003	C	`conf`	System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. ICANN Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
2003	J	`jnl`	Variational Bayes method for Mixture of Principal Component Analyzers. Syst. Comput. Jpn. Shigeyuki Oba, Masa-aki Sato, Shin Ishii
2002	J	`jnl`	A multiagent reinforcement learning method based on the model inference of the other agents. Syst. Comput. Jpn. Yoichiro Matsuno, Tatsuya Yamazaki, Jun Matsuda, Shin Ishii
2002	C	`conf`	Clustering of Gene Expression Data by Mixture of PCA Models. ICANN Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii
2002	J	`jnl`	Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Networks Shin Ishii, Wako Yoshida, Junichiro Yoshimoto
2002	J	`jnl`	Doubly constrained network for combinatorial optimization. Neurocomputing Shin Ishii, Masa-aki Sato
2002	C	`conf`	Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
2002	C	`conf`	Missing Value Estimation Using Mixture of PCAs. ICANN Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii
2002	C	`conf`	Reinforcement Learning for Biped Locomotion. ICANN Masa-aki Sato, Yutaka Nakamura, Shin Ishii
2001	—	`conf`	A multi-agent reinforcement learning method for a partially-observable competitive game. Agents Yoichiro Matsuno, Tatsuya Yamazaki, Shin Ishii
2001	J	`jnl`	Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. Syst. Comput. Jpn. Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
2001	J	`jnl`	Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. Neural Comput. Ken-ichi Amemori, Shin Ishii
2001	C	`conf`	Gaussian Process Approach to Stochastic Spiking Neurons with Reset. ICANN Ken-ichi Amemori, Shin Ishii
2001	J	`jnl`	Multiagent reinforcement learning applied to a chase problem in a continuous world. Artif. Life Robotics Hiroki Tamakoshi, Shin Ishii
2001	C	`conf`	On-Line Learning Methods for Gaussian Processes. ICANN Shigeyuki Oba, Masa-aki Sato, Shin Ishii
2001	J	`jnl`	Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks Shin Ishii, Masa-aki Sato
2001	C	`conf`	Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model. ICANN Ken-ichi Amemori, Shin Ishii
2000	J	`jnl`	-Opt Neural Approaches to Quadratic Assignment Problems. Neural Comput. Shin Ishii, Hirotaka Niitsuma
2000	J	`jnl`	Analog Syst. Comput. Jpn. Hirotaka Niitsuma, Shin Ishii, Minoru Ito
2000	—	`conf`	Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. ICMAS Yasuo Nagayuki, Shin Ishii, Kenji Doya
2000	—	`conf`	On-Line EM Reinforcement Learning. IJCNN (3) Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
2000	J	`jnl`	On-line EM Algorithm for the Normalized Gaussian Network. Neural Comput. Masa-aki Sato, Shin Ishii
2000	Misc	`conf`	Reconstruction of chaotic dynamics using a noise-robust embedding method. ICASSP Wako Yoshida, Shin Ishii, Masa-aki Sato
1998	J	`jnl`	Constrained neural approaches to quadratic assignment problems. Neural Networks Shin Ishii, Masa-aki Sato
1998	B	`conf`	On-Line EM Algorithm for Mixture of Local Experts. ICONIP Masa-aki Sato, Shin Ishii
1998	—	`conf`	Reinforcement Learning Based on On-Line EM Algorithm. NIPS Masa-aki Sato, Shin Ishii
1998	B	`conf`	Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. ICONIP Ken-ichi Amemori, Shin Ishii
1998	B	`conf`	Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. ICONIP Taku Yoshioka, Shin Ishii, Minoru Ito
1997	J	`jnl`	Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks Shin Ishii, Masa-aki Sato
1997	J	`jnl`	Eliminating Spurious Memories in a Network of Chaotic Elements. J. Intell. Fuzzy Syst. Shin Ishii
1996	J	`jnl`	A network of chaotic elements for information processing. Neural Networks Shin Ishii, Kenji Fukumizu, Sumio Watanabe
1995	—	`conf`	Chaotic Potts spin. ICNN Shin Ishii