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2020 – today
- 2024
[j96]Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii:
A Batch Sequential Halving Algorithm without Performance Degradation. RLJ 5: 2218-2232 (2024)- [j95]Kohei Ohashi, Kosuke Nakanishi
, Nao Goto, Yuji Yasui, Shin Ishii:
Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. IEEE Access 12: 151907-151919 (2024) - [j94]Jaepyung Hwang, Shin Ishii:
Simplified Physical Model-based Balance-preserving Motion Re-targeting for Physical Simulation. Comput. Graph. Forum 43(1) (2024) - [c91]Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi, Shin Ishii:
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. CoG 2024: 1-4 - [i15]Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii:
A Batch Sequential Halving Algorithm without Performance Degradation. CoRR abs/2406.00424 (2024) - [i14]Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi, Shin Ishii:
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. CoRR abs/2406.10306 (2024) - [i13]Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii:
Robust off-policy Reinforcement Learning via Soft Constrained Adversary. CoRR abs/2409.00418 (2024) - 2023
- [j93]Kohei Ohashi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii:
Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions. IEEE Access 11: 100798-100809 (2023) - [j92]Sho Mitsuhashi, Shin Ishii:
Triangle Inequality for Inverse Optimal Control. IEEE Access 11: 119187-119199 (2023) - [c90]Zichen Song, Hiroshi Higashi, Shin Ishii:
EEG study on anticipation of difficulty for upcoming auditory task. APSIPA ASC 2023: 559-566 - [c89]Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii:
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning. NeurIPS 2023 - [i12]Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii:
Pgx: Hardware-accelerated parallel game simulation for reinforcement learning. CoRR abs/2303.17503 (2023) - [i11]Soichiro Nishimori, Sotetsu Koyamada, Shin Ishii:
End-to-End Policy Gradient Method for POMDPs and Explainable Agents. CoRR abs/2304.09769 (2023) - 2022
- [j91]Jae-Pyung Hwang, Gangrae Park, Taesoo Kwon, Shin Ishii:
Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies. Comput. Graph. Forum 41(6): 37-50 (2022) - [j90]Sehyung Lee, Hideaki Kume, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii:
Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks. Neural Networks 152: 57-69 (2022) - [j89]Keisuke Fujimoto, Kojiro Hayashi, Risa Katayama, Sehyung Lee, Zhen Liang, Wako Yoshida, Shin Ishii:
Deep learning-based image deconstruction method with maintained saliency. Neural Networks 155: 224-241 (2022) - [c88]Sotetsu Koyamada, Keigo Habara, Nao Goto, Shinri Okano, Soichiro Nishimori, Shin Ishii:
Mjx: A framework for Mahjong AI research. CoG 2022: 504-507 - 2021
- [j88]Kohei Ohashi, Kosuke Nakanishi, Wataru Sasaki, Yuji Yasui, Shin Ishii:
Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder. IEEE Access 9: 143901-143912 (2021) - [j87]Akihiro Kubo, Kourosh Meshgi, Shin Ishii:
A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking. J. Intell. Robotic Syst. 101(1): 11 (2021) - [j86]Hidetoshi Urakubo, Sho Yagishita, Haruo Kasai, Yoshiyuki Kubota, Shin Ishii:
The critical balance between dopamine D2 receptor and RGS for the sensitive detection of a transient decay in dopamine signal. PLoS Comput. Biol. 17(9) (2021) - [i10]Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii:
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. CoRR abs/2102.03777 (2021) - 2020
- [j85]Jae-Pyung Hwang, Shin Ishii, Taesoo Kwon, Shigeyuki Oba:
Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data. IEEE Access 8: 202274-202285 (2020) - [j84]Yoshihisa Fujita, Sho Yagishita, Haruo Kasai, Shin Ishii:
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization. Frontiers Comput. Neurosci. 14: 66 (2020) - [j83]Sehyung Lee, Makiko Negishi, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii:
Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration. Neural Networks 125: 92-103 (2020) - [j82]Hidetoshi Urakubo, Sho Yagishita, Haruo Kasai, Shin Ishii:
Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity. PLoS Comput. Biol. 16(7) (2020)
2010 – 2019
- 2019
- [j81]Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii:
Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. Frontiers Neurorobotics 13: 103 (2019) - [j80]Ryo Ito, Ken Nakae, Junichi Hata, Hideyuki Okano, Shin Ishii:
Semi-supervised deep learning of brain tissue segmentation. Neural Networks 116: 25-34 (2019) - [j79]Zhen Liang, Shigeyuki Oba, Shin Ishii:
An unsupervised EEG decoding system for human emotion recognition. Neural Networks 116: 257-268 (2019) - [j78]Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii:
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1979-1993 (2019) - [j77]Honda Naoki, Ryutaro Akiyama, Dini Wahyu Kartika Sari, Shin Ishii, Yasumasa Bessho, Takaaki Matsui:
Noise-resistant developmental reproducibility in vertebrate somite formation. PLoS Comput. Biol. 15(2) (2019) - [j76]Henrik Skibbe, Marco Reisert, Ken Nakae, Akiya Watakabe, Junichi Hata, Hiroaki Mizukami, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii:
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. IEEE Trans. Medical Imaging 38(1): 69-78 (2019) - [c87]Zhen Liang, Hiroshi Higashi, Shigeyuki Oba, Shin Ishii:
Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. IJCNN 2019: 1-8 - [c86]Jae-Pyung Hwang, Shin Ishii, Shigeyuki Oba:
Online motion synthesis framework using a simple mass model based on predictive coding. Symposium on Computer Animation 2019: 10:1-10:2 - [i9]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:
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. CoRR abs/1908.00876 (2019) - 2018
- [j75]Takashi Takenouchi, Shin Ishii:
Binary classifiers ensemble based on Bregman divergence for multi-class classification. Neurocomputing 273: 424-434 (2018) - [j74]Zhen Liang, Yasuyuki Hamada, Shigeyuki Oba, Shin Ishii:
Characterization of electroencephalography signals for estimating saliency features in videos. Neural Networks 105: 52-64 (2018) - [j73]Yohei Kondo, Kazuhiro Aoki, Shin Ishii:
Inverse tissue mechanics of cell monolayer expansion. PLoS Comput. Biol. 14(3) (2018) - [j72]Shoichiro Yamaguchi, Honda Naoki, Muneki Ikeda, Yuki Tsukada, Shunji Nakano, Ikue Mori, Shin Ishii:
Identification of animal behavioral strategies by inverse reinforcement learning. PLoS Comput. Biol. 14(5) (2018) - [c85]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR 2018: 4814-4823 - 2017
- [j71]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii:
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks 87: 132-148 (2017) - [c84]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Active collaborative ensemble tracking. AVSS 2017: 1-6 - [c83]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Version-Space Reduction for Visual Tracking. CRV 2017: 139-146 - [c82]Shihori Uchida, Shigeyuki Oba, Shin Ishii:
Estimation of the Change of Agents Behavior Strategy Using State-Action History. ICANN (2) 2017: 100-107 - [c81]Takashi Nishimoto, Yoshiki Azuma, Hiroshi Morioka, Shin Ishii:
Individual Identification by Resting-State EEG Using Common Dictionary Learning. ICANN (1) 2017: 199-207 - [c80]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Efficient asymmetric co-tracking using uncertainty sampling. ICSIPA 2017: 241-246 - [c79]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Active discriminative tracking using collective memory. MVA 2017: 374-377 - [i8]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Efficient Asymmetric Co-Tracking using Uncertainty Sampling. CoRR abs/1704.00083 (2017) - [i7]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Version-Space Reduction for Visual Tracking. CoRR abs/1704.00299 (2017) - [i6]Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii:
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR abs/1704.03976 (2017) - [i5]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Active Collaborative Ensemble Tracking. CoRR abs/1704.08821 (2017) - [i4]Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Neural Sequence Model Training via $α$-divergence Minimization. CoRR abs/1706.10031 (2017) - [i3]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. CoRR abs/1711.06564 (2017) - 2016
- [j70]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii:
An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. 150: 81-94 (2016) - [j69]Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii:
Sparse and low-rank matrix regularization for learning time-varying Markov networks. Mach. Learn. 105(3): 335-366 (2016) - [j68]Yu-zhe Li, Ken Nakae, Shin Ishii, Honda Naoki:
Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model. PLoS Comput. Biol. 12(9) (2016) - [c78]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Robust discriminative tracking via query-by-bagging. AVSS 2016: 8-14 - [c77]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii:
Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. CRV 2016: 178-185 - [c76]Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii:
Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) 2016 - 2015
- [j67]Kourosh Meshgi, Shin Ishii:
The State-of-the-Art in Handling Occlusions for Visual Object Tracking. IEICE Trans. Inf. Syst. 98-D(7): 1260-1274 (2015) - [j66]Hiroshi Morioka, Atsunori Kanemura, Junichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii:
Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage 111: 167-178 (2015) - [j65]Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii:
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. IEEE Trans. Medical Imaging 34(2): 628-643 (2015) - [c75]Shin Ishii:
Data-driven brain computer interface in real environments. BCI 2015: 1-2 - [c74]Takeshi Ogawa, Junichiro Hirayama, Pankaj Gupta, Hiroki Moriya, Shumpei Yamaguchi, Akihiro Ishikawa, Yoshihiro Inoue, Motoaki Kawanabe, Shin Ishii:
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. EMBC 2015: 1107-1110 - [c73]JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii:
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. ICONIP (3) 2015: 583-591 - [c72]Shunsuke Sakurai, Shigeyuki Oba, Shin Ishii:
Inverse Reinforcement Learning Based on Behaviors of a Learning Agent. ICONIP (1) 2015: 724-732 - [c71]Kourosh Meshgi, Shin Ishii:
Expanding histogram of colors with gridding to improve tracking accuracy. MVA 2015: 475-479 - [c70]Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii:
Principal Sensitivity Analysis. PAKDD (1) 2015: 621-632 - [i2]Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii:
Deep learning of fMRI big data: a novel approach to subject-transfer decoding. CoRR abs/1502.00093 (2015) - 2014
- [j64]Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias:
Spiking network simulation code for petascale computers. Frontiers Neuroinformatics 8: 78 (2014) - [j63]Hiroshi Morioka, Atsunori Kanemura, Satoshi Morimoto, Taku Yoshioka, Shigeyuki Oba, Motoaki Kawanabe, Shin Ishii:
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage 90: 128-139 (2014) - [j62]Ken Nakae, Yuji Ikegaya, Tomoe Ishikawa, Shigeyuki Oba, Hidetoshi Urakubo, Masanori Koyama, Shin Ishii:
A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging. PLoS Comput. Biol. 10(11) (2014) - [c69]Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii:
Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS 2014: 5-8 - [c68]Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii:
Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS 2014: 180 - [c67]Henrik Skibbe, Marco Reisert, Shin Ishii:
Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity. GCPR 2014: 421-431 - [c66]Yoichi Morales, Jamilah A. Abdur-Rahim, Jani Even, Atsushi Watanabe, Tadahisa Kondo, Norihiro Hagita, Takeshi Ogawa, Shin Ishii:
Modeling of human velocity habituation for a robotic wheelchair. IROS 2014: 3284-3290 - [i1]Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii:
Principal Sensitivity Analysis. CoRR abs/1412.6785 (2014) - 2013
- [j61]Masayuki Kouno, Ken Nakae, Shigeyuki Oba, Shin Ishii:
Microscopic image restoration based on tensor factorization of rotated patches. Artif. Life Robotics 17(3-4): 417-425 (2013) - [c65]Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro:
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data. ICANN 2013: 17-25 - [c64]Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii:
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS 2013: 865-870 - 2012
- [j60]Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann:
Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers Neuroinformatics 6: 26 (2012) - [j59]Tsuyoshi Ueno, Shin-ichi Maeda, Shin Ishii:
Asymptotic analysis of value prediction by well-specified and misspecified models. Neural Networks 31: 88-92 (2012) - [j58]Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato:
A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. IEEE Trans. Biomed. Eng. 59(6): 1561-1571 (2012) - [c63]Daichi Nakano, Shin-ichi Maeda, Shin Ishii:
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. ICANN (2) 2012: 116-123 - [c62]Takashi Takenouchi, Shin Ishii:
A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification. ICONIP (2) 2012: 375-382 - 2011
- [j57]Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii:
Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. Intell. Autom. Soft Comput. 17(1): 71-94 (2011) - [j56]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii:
Generalized TD Learning. J. Mach. Learn. Res. 12: 1977-2020 (2011) - [j55]Takashi Takenouchi, Shin Ishii:
Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions. Mach. Learn. 85(3): 249-272 (2011) - [j54]Shin Ishii, Markus Diesmann, Kenji Doya:
Multi-scale, multi-modal neural modeling and simulation. Neural Networks 24(9): 917 (2011) - [j53]Seigo Nonaka, Honda Naoki, Shin Ishii:
A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton. Neural Networks 24(9): 979-989 (2011) - [j52]Takeshi Mori, Shin Ishii:
Incremental State Aggregation for Value Function Estimation in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1407-1416 (2011) - [c61]Takumi Tanaka, Shin-ichi Maeda, Shin Ishii:
Motion Compensated X-ray CT Algorithm for Moving Objects. ICMLA (1) 2011: 80-83 - 2010
- [j51]Shinji Hotta, Shigeyuki Oba, Shin Ishii:
Visual attention model involving feature-based inhibition of return. Artif. Life Robotics 15(2): 129-132 (2010) - [j50]Atsunori Kanemura, Shin-ichi Maeda, Wataru Fukuda, Shin Ishii:
Bayesian image superresolution and hidden variable modeling. J. Syst. Sci. Complex. 23(1): 116-136 (2010) - [j49]Wako Yoshida, Hidefumi Funakoshi, Shin Ishii:
Hierarchical rule switching in prefrontal cortex. NeuroImage 50(1): 314-322 (2010) - [j48]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Sparse Bayesian Learning of Filters for Efficient Image Expansion. IEEE Trans. Image Process. 19(6): 1480-1490 (2010) - [c60]Masahiro Adomi, Yumi Shikauchi, Shin Ishii:
Hidden Markov Model for Human Decision Process in a Partially Observable Environment. ICANN (2) 2010: 94-103 - [c59]Masataka Yamao, Honda Naoki, Shin Ishii:
Noise-Induced Collective Migration for Neural Crest Cells. ICANN (1) 2010: 155-163 - [c58]Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii:
Bayesian X-ray computed tomography using material class knowledge. ICASSP 2010: 2126-2129 - [c57]Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii:
Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. ICONIP (1) 2010: 371-379
2000 – 2009
- 2009
- [j47]Naomi Yano, Tomohiro Shibata, Shin Ishii:
Adaptive particle allocation for multifocal visual attention based on particle filtering. Artif. Life Robotics 13(2): 522-525 (2009) - [j46]Naoto Yukinawa, Taku Yoshioka, Kazuo Kobayashi, Naotake Ogasawara, Shin Ishii:
A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data. Inf. Media Technol. 4(4): 753-768 (2009) - [j45]Mizuki Ihara, Shin-ichi Maeda, Shin Ishii:
Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics. Neural Comput. Appl. 18(1): 3-14 (2009) - [j44]Takashi Takenouchi, Shin Ishii:
A Multiclass Classification Method Based on Decoding of Binary Classifiers. Neural Comput. 21(7): 2049-2081 (2009) - [j43]Shin-ichi Maeda, Shin Ishii:
Learning a multi-dimensional companding function for lossy source coding. Neural Networks 22(7): 998-1010 (2009) - [j42]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Superresolution with compound Markov random fields via the variational EM algorithm. Neural Networks 22(7): 1025-1034 (2009) - [j41]Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii:
Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 333-343 (2009) - [c56]Takeshi Mori, Shin Ishii:
An Additive Reinforcement Learning. ICANN (1) 2009: 608-617 - [c55]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Learning color image expansion filters. ICIP 2009: 357-360 - [c54]Wataru Fukuda, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Superresolution from Occluded Scenes. ICONIP (2) 2009: 19-27 - [c53]Takeshi Mori, Shin Ishii:
Robust Approximation in Decomposed Reinforcement Learning. ICONIP (1) 2009: 590-597 - [c52]Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii:
Learning of Go Board State Evaluation Function by Artificial Neural Network. ICONIP (1) 2009: 598-605 - [c51]Kohei Hayashi, Junichiro Hirayama, Shin Ishii:
Dynamic Exponential Family Matrix Factorization. PAKDD 2009: 452-462 - [c50]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii:
Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) 2009: 473-488 - 2008
- [j40]Kenji Makino, Yutaka Nakamura, Tomohiro Shibata, Shin Ishii:
Adaptive control of a looper-like robot based on the CPG-actor-critic method. Artif. Life Robotics 12(1-2): 129-132 (2008) - [j39]Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii:
A probabilistic modeling of MOSAIC learning. Artif. Life Robotics 12(1-2): 167-171 (2008) - [j38]Tomoya Tamei, Shin Ishii, Tomohiro Shibata:
Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals. Adv. Robotics 22(8): 893-911 (2008) - [j37]Yuki Tsukada, Kazuhiro Aoki, Takeshi Nakamura, Yuichi Sakumura, Michiyuki Matsuda, Shin Ishii:
Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking. PLoS Comput. Biol. 4(11) (2008) - [c49]Yu Hiei, Takeshi Mori, Shin Ishii:
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. ICANN (1) 2008: 367-376 - [c48]Yuki Taniguchi, Takeshi Mori, Shin Ishii:
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. ICANN (1) 2008: 397-406 - [c47]Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii:
A semiparametric statistical approach to model-free policy evaluation. ICML 2008: 1072-1079 - [c46]Akiyo Asahina, Junichiro Hirayama, Shin Ishii:
Interpreting Dopamine Activities in Stochastic Reward Tasks. ICONIP (1) 2008: 361-368 - [c45]Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki:
On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) 2008: 469-477 - [c44]Junichiro Hirayama, Shin Ishii:
A Closed-Form Estimator of Fully Visible Boltzmann Machines. ICONIP (2) 2008: 951-959 - 2007
- [j36]Akihiro Tanabe, Kenji Fukumizu, Shigeyuki Oba, Takashi Takenouchi, Shin Ishii:
Parameter estimation for von Mises-Fisher distributions. Comput. Stat. 22(1): 145-157 (2007) - [j35]Shigeyuki Oba, Nobumoto Tomioka, Miki Ohira, Shin Ishii:
Combfit: A Normalization Method for Array CGH Data. Inf. Media Technol. 2(1): 134-143 (2007) - [j34]Hajime Fujita, Shin Ishii:
Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. Neural Comput. 19(11): 3051-3087 (2007) - [j33]Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii:
Reinforcement learning for a biped robot based on a CPG-actor-critic method. Neural Networks 20(6): 723-735 (2007) - [j32]Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii:
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. IEEE Trans. Neural Networks 18(5): 1326-1342 (2007) - [c43]Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii:
A Probabilistic Model of MOSAIC. FOCI 2007: 41-46 - [c42]Takashi Takenouchi, Shin Ishii:
Multiclass classification as a decoding problem. FOCI 2007: 470-475 - [c41]Yuki Taniguchi, Takeshi Mori, Shin Ishii:
Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. ICANN (1) 2007: 229-238 - [c40]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) 2007: 611-620 - [c39]Tomohiro Shibata, Takashi Bando, Shin Ishii:
Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. ICONIP (1) 2007: 604-613 - [c38]Shin-ichi Maeda, Shin Ishii:
Optimization of Parametric Companding Function for an Efficient Coding. ICONIP (1) 2007: 713-722 - [c37]Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii:
Bayesian Collaborative Predictors for General User Modeling Tasks. ICONIP (1) 2007: 742-751 - [c36]Yuki Tsukada, Yuichi Sakumura, Shin Ishii:
Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking. ICONIP (2) 2007: 817-826 - [c35]Takashi Takenouchi, Shin Ishii:
A probabilistic decoding approach to multi-class classification. IJCNN 2007: 2671-2676 - [c34]Mizuki Ihara, Shin-ichi Maeda, Shin Ishii:
Estimation of the Source-Filter Model Using Temporal Dynamics. IJCNN 2007: 3098-3103 - [c33]Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii:
Heterogeneous Component Analysis. NIPS 2007: 1097-1104 - 2006
- [j31]Shigeyuki Oba, Shin Ishii:
Semi-supervised discovery of differential genes. BMC Bioinform. 7: 414 (2006) - [j30]Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. Neurocomputing 69(16-18): 1954-1961 (2006) - [j29]Shin Ishii, Wako Yoshida:
Reinforcement Learning: Machine Learning and Natural Learning. New Gener. Comput. 24(3): 325-350 (2006) - [j28]Yuichi Sakumura, Shin Ishii:
Stochastic resonance with differential code in feedforward network with intra-layer random connections. Neural Networks 19(4): 469-476 (2006) - [j27]Yasunobu Igarashi, Yuichi Sakumura, Shin Ishii:
The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study. Neural Networks 19(8): 1137-1152 (2006) - [j26]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching particle filters for efficient visual tracking. Robotics Auton. Syst. 54(10): 873-884 (2006) - [j25]Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii:
Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot. Robotics Auton. Syst. 54(12): 982-988 (2006) - [c32]Shigeyuki Oba, Shin Ishii:
Semi-supervised Significance Score of Differential Gene Expressions. ICANN (2) 2006: 808-817 - [c31]Hajime Fujita, Yutaka Nakamura, Shin Ishii:
Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments. ICANN (1) 2006: 820-829 - [c30]Tsuyoshi Ueno, Yutaka Nakamura, Takashi Takuma, Tomohiro Shibata, Koh Hosoda, Shin Ishii:
Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic. IROS 2006: 5226-5231 - 2005
- [j24]Junichiro Yoshimoto, Masaya Nishimura, Yoichi Tokita, Shin Ishii:
Acrobot control by learning the switching of multiple controllers. Artif. Life Robotics 9(2): 67-71 (2005) - [j23]Wako Yoshida, Shin Ishii:
Model-based reinforcement learning: a computational model and an fMRI study. Neurocomputing 63: 253-269 (2005) - [j22]Yutaka Nakamura, Takeshi Mori, Yoichi Tokita, Tomohiro Shibata, Shin Ishii:
Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller. J. Robotics Mechatronics 17(6): 636-644 (2005) - [j21]Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno:
A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. Mach. Learn. 59(1-2): 31-54 (2005) - [j20]Shin-ichi Maeda, Wen-Jie Song, Shin Ishii:
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. Neural Comput. 17(1): 115-144 (2005) - [c29]Shigeyuki Oba, Kikuya Kato, Shin Ishii:
Multi-Scale Clustering for Gene Expression Profiling Data. BIBE 2005: 210-217 - [c28]Hajime Fujita, Shin Ishii:
Model-based reinforcement learning for a multi-player card game with partial observability. IAT 2005: 467-470 - [c27]Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii:
Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. ICANN (2) 2005: 337-342 - [c26]Yutaka Nakamura, Takeshi Mori, Shin Ishii:
An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. ICANN (2) 2005: 431-436 - [c25]Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, Shin Ishii:
On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method. IROS 2005: 3803-3808 - 2004
- [j19]Ken-ichi Amemori, Shin Ishii:
Self-organization of delay lines by spike-time-dependent learning. Neurocomputing 61: 291-316 (2004) - [j18]Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks 17(10): 1391-1400 (2004) - [j17]Yasunori Ishihara, Shin Ishii, Hiroyuki Seki, Minoru Ito:
Temporal Reasoning about Two Concurrent Sequences of Events. SIAM J. Comput. 34(2): 498-513 (2004) - [c24]Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii:
Reinforcement Learning for CPG-Driven Biped Robot. AAAI 2004: 623-630 - [c23]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723 - [c22]Yutaka Nakamura, Takeshi Mori, Shin Ishii:
Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. PPSN 2004: 972-981 - [c21]Shuichi Fukunaga, Yutaka Nakamura, Kazuaki Aso, Shin Ishii:
Reinforcement learning for a snake-like robot controlled by a central pattern generator. RAM 2004: 909-914 - 2003
- [j16]Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
A Bayesian missing value estimation method for gene expression profile data. Bioinform. 19(16): 2088-2096 (2003) - [j15]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
Variational Bayes method for Mixture of Principal Component Analyzers. Syst. Comput. Jpn. 34(11): 55-66 (2003) - [c20]Wako Yoshida, Shin Ishii:
A model-based reinforcement learning: a computational model and an fMRI study. ESANN 2003: 313-318 - [c19]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. ICANN 2003: 123-131 - [c18]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
Prior Hyperparameters in Bayesian PCA. ICANN 2003: 271-279 - [c17]Hajime Fujita, Yoichiro Matsuno, Shin Ishii:
A reinforcement learning scheme for a multi-agent card game. SMC 2003: 4071-4078 - 2002
- [j14]Shin Ishii, Masa-aki Sato:
Doubly constrained network for combinatorial optimization. Neurocomputing 43(1-4): 239-257 (2002) - [j13]Shin Ishii, Wako Yoshida, Junichiro Yoshimoto:
Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Networks 15(4-6): 665-687 (2002) - [j12]Yoichiro Matsuno, Tatsuya Yamazaki, Jun Matsuda, Shin Ishii:
A multiagent reinforcement learning method based on the model inference of the other agents. Syst. Comput. Jpn. 33(12): 67-76 (2002) - [c16]Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
Missing Value Estimation Using Mixture of PCAs. ICANN 2002: 492-497 - [c15]Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii:
Clustering of Gene Expression Data by Mixture of PCA Models. ICANN 2002: 522-527 - [c14]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN 2002: 661-666 - [c13]Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
Reinforcement Learning for Biped Locomotion. ICANN 2002: 777-782 - 2001
- [j11]Hiroki Tamakoshi, Shin Ishii:
Multiagent reinforcement learning applied to a chase problem in a continuous world. Artif. Life Robotics 5(4): 202-206 (2001) - [j10]Ken-ichi Amemori, Shin Ishii:
Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. Neural Comput. 13(12): 2763-2797 (2001) - [j9]Shin Ishii, Masa-aki Sato:
Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks 14(9): 1239-1256 (2001) - [j8]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. Syst. Comput. Jpn. 32(5): 12-20 (2001) - [c12]Yoichiro Matsuno, Tatsuya Yamazaki, Shin Ishii:
A multi-agent reinforcement learning method for a partially-observable competitive game. Agents 2001: 39-40 - [c11]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
On-Line Learning Methods for Gaussian Processes. ICANN 2001: 292-299 - [c10]Ken-ichi Amemori, Shin Ishii:
Gaussian Process Approach to Stochastic Spiking Neurons with Reset. ICANN 2001: 361-368 - [c9]Ken-ichi Amemori, Shin Ishii:
Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model. ICANN 2001: 1087-1094 - 2000
- [j7]Masa-aki Sato, Shin Ishii:
On-line EM Algorithm for the Normalized Gaussian Network. Neural Comput. 12(2): 407-432 (2000) - [j6]Shin Ishii, Hirotaka Niitsuma:
-Opt Neural Approaches to Quadratic Assignment Problems. Neural Comput. 12(9): 2209-2225 (2000) - [j5]Hirotaka Niitsuma, Shin Ishii, Minoru Ito:
Analog lambda-opt approach to quadratic assignment problem. Syst. Comput. Jpn. 31(10): 1-9 (2000) - [c8]Wako Yoshida, Shin Ishii, Masa-aki Sato:
Reconstruction of chaotic dynamics using a noise-robust embedding method. ICASSP 2000: 181-184 - [c7]Yasuo Nagayuki, Shin Ishii, Kenji Doya:
Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. ICMAS 2000: 215-221 - [c6]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
On-Line EM Reinforcement Learning. IJCNN (3) 2000: 163-168
1990 – 1999
- 1998
- [j4]Shin Ishii, Masa-aki Sato:
Constrained neural approaches to quadratic assignment problems. Neural Networks 11(6): 1073-1082 (1998) - [c5]Taku Yoshioka, Shin Ishii, Minoru Ito:
Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. ICONIP 1998: 841-844 - [c4]Ken-ichi Amemori, Shin Ishii:
Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. ICONIP 1998: 1285-1288 - [c3]Masa-aki Sato, Shin Ishii:
On-Line EM Algorithm for Mixture of Local Experts. ICONIP 1998: 1397-1401 - [c2]Masa-aki Sato, Shin Ishii:
Reinforcement Learning Based on On-Line EM Algorithm. NIPS 1998: 1052-1058 - 1997
- [j3]Shin Ishii:
Eliminating Spurious Memories in a Network of Chaotic Elements. J. Intell. Fuzzy Syst. 5(1): 69-83 (1997) - [j2]Shin Ishii, Masa-aki Sato:
Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks 10(5): 941-963 (1997) - 1996
- [j1]Shin Ishii, Kenji Fukumizu, Sumio Watanabe:
A network of chaotic elements for information processing. Neural Networks 9(1): 25-40 (1996) - 1995
- [c1]Shin Ishii:
Chaotic Potts spin. ICNN 1995: 1578-1583
Coauthor Index
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