Year |
Citation |
Score |
2020 |
Fujita Y, Yagishita S, Kasai H, Ishii S. Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization. Frontiers in Computational Neuroscience. 14: 66. PMID 32774245 DOI: 10.3389/Fncom.2020.00066 |
0.321 |
|
2019 |
Urakubo H, Bullmann T, Kubota Y, Oba S, Ishii S. UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images. Scientific Reports. 9: 19413. PMID 31857624 DOI: 10.1038/S41598-019-55431-0 |
0.713 |
|
2018 |
Miyato T, Maeda SI, Ishii S, Koyama M. Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30040630 DOI: 10.1109/Tpami.2018.2858821 |
0.347 |
|
2018 |
Liang Z, Hamada Y, Oba S, Ishii S. Characterization of electroencephalography signals for estimating saliency features in videos. Neural Networks : the Official Journal of the International Neural Network Society. 105: 52-64. PMID 29763744 DOI: 10.1016/J.Neunet.2018.04.013 |
0.328 |
|
2017 |
Meshgi K, Maeda SI, Oba S, Ishii S. Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks : the Official Journal of the International Neural Network Society. 87: 132-148. PMID 28119122 DOI: 10.1016/J.Neunet.2016.12.009 |
0.738 |
|
2016 |
Meshgi K, Maeda S, Oba S, Skibbe H, Li Y, Ishii S. An occlusion-aware particle filter tracker to handle complex and persistent occlusions Computer Vision and Image Understanding. 150: 81-94. DOI: 10.1016/J.Cviu.2016.05.011 |
0.735 |
|
2016 |
Hirayama Ji, Hyvärinen A, Ishii S. Sparse and low-rank matrix regularization for learning time-varying Markov networks Machine Learning. 1-32. DOI: 10.1007/S10994-016-5568-6 |
0.335 |
|
2015 |
Shikauchi Y, Ishii S. Decoding the view expectation during learned maze navigation from human fronto-parietal network. Scientific Reports. 5: 17648. PMID 26631641 DOI: 10.1038/Srep17648 |
0.3 |
|
2015 |
Meshgi K, Ishii S. The state-of-the-art in handling occlusions for visual object tracking Ieice Transactions On Information and Systems. 1260-1274. DOI: 10.1587/Transinf.2014Edr0002 |
0.718 |
|
2012 |
Fukushima M, Yamashita O, Kanemura A, Ishii S, Kawato M, Sato MA. A state-space modeling approach for localization of focal current sources from MEG. Ieee Transactions On Bio-Medical Engineering. 59: 1561-71. PMID 22394573 DOI: 10.1109/Tbme.2012.2189713 |
0.302 |
|
2011 |
Yoshimoto J, Sato M, Ishii S. Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method Intelligent Automation and Soft Computing. 17: 71-94. DOI: 10.1080/10798587.2011.10643134 |
0.335 |
|
2010 |
Kanemura A, Maeda S, Ishii S. Sparse bayesian learning of filters for efficient image expansion. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 19: 1480-90. PMID 20215080 DOI: 10.1109/Tip.2010.2043010 |
0.31 |
|
2010 |
Naito S, Yukinawa N, Ishii S. A spiking neural network model of primary visual cortex for perceptual learning Neuroscience Research. 68. DOI: 10.1016/J.Neures.2010.07.2503 |
0.308 |
|
2010 |
Yukinawa N, Ishii S. Learning spatio-temporal visual features by a large scale neural network model Neuroscience Research. 68. DOI: 10.1016/J.Neures.2010.07.1925 |
0.321 |
|
2009 |
Shibata K, Yamagishi N, Ishii S, Kawato M. Boosting perceptual learning by fake feedback. Vision Research. 49: 2574-85. PMID 19531366 DOI: 10.1016/J.Visres.2009.06.009 |
0.3 |
|
2009 |
Takenouchi T, Ishii S. A multiclass classification method based on decoding of binary classifiers. Neural Computation. 21: 2049-81. PMID 19292646 DOI: 10.1162/Neco.2009.03-08-740 |
0.301 |
|
2008 |
Hirayama J, Nakatomi M, Takenouchi T, Ishii S. Collaborative Prediction By Multiple Bayesian Networks And Its Application To Printer Usage Modeling Behaviormetrika. 35: 99-114. DOI: 10.2333/Bhmk.35.99 |
0.303 |
|
2008 |
Osaga S, Hirayama JI, Takenouchi T, Ishii S. A probabilistic modeling of MOSAIC learning Artificial Life and Robotics. 12: 167-171. DOI: 10.1007/S10015-007-0461-9 |
0.307 |
|
2007 |
Hirayama J, Maeda S, Ishii S. Markov and Semi-Markov switching of source appearances for nonstationary independent component analysis. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 18: 1326-42. PMID 18220183 DOI: 10.1109/Tnn.2007.895829 |
0.301 |
|
2007 |
Fujita H, Ishii S. Model-based reinforcement learning for partially observable games with sampling-based state estimation. Neural Computation. 19: 3051-87. PMID 17883349 DOI: 10.1162/Neco.2007.19.11.3051 |
0.324 |
|
2007 |
Nakamura Y, Mori T, Sato MA, Ishii S. Reinforcement learning for a biped robot based on a CPG-actor-critic method. Neural Networks : the Official Journal of the International Neural Network Society. 20: 723-35. PMID 17412559 DOI: 10.1016/J.Neunet.2007.01.002 |
0.307 |
|
2005 |
Maeda S, Song WJ, Ishii S. Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model. Neural Computation. 17: 115-44. PMID 15563750 DOI: 10.1162/0899766052530866 |
0.314 |
|
2005 |
Yoshimoto J, Nishimura M, Tokita Y, Ishii S. Acrobot control by learning the switching of multiple controllers Artificial Life and Robotics. 9: 67-71. DOI: 10.1007/S10015-004-0340-6 |
0.303 |
|
2004 |
Hirayama J, Yoshimoto J, Ishii S. Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks : the Official Journal of the International Neural Network Society. 17: 1391-400. PMID 15541942 DOI: 10.1016/J.Neunet.2004.06.006 |
0.324 |
|
2004 |
Amemori KI, Ishii S. Self-organization of delay lines by spike-time-dependent learning Neurocomputing. 61: 291-316. DOI: 10.1016/J.Neucom.2003.09.013 |
0.667 |
|
2003 |
Oba S, Sato M, Ishii S. Variational Bayes method for Mixture of Principal Component Analyzers Systems and Computers in Japan. 34: 55-66. DOI: 10.1002/Scj.10394 |
0.302 |
|
2002 |
Ishii S, Yoshida W, Yoshimoto J. Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Networks : the Official Journal of the International Neural Network Society. 15: 665-87. PMID 12371519 DOI: 10.1016/S0893-6080(02)00056-4 |
0.321 |
|
2001 |
Amemori KI, Ishii S. Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs. Neural Computation. 13: 2763-97. PMID 11705410 DOI: 10.1162/089976601317098529 |
0.644 |
|
2001 |
Tamakoshi H, Ishii S. Multiagent reinforcement learning applied to a chase problem in a continuous world Artificial Life and Robotics. 5: 202-206. DOI: 10.1007/Bf02481502 |
0.321 |
|
2001 |
Yoshimoto J, Ishii S, Sato M. Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot Systems and Computers in Japan. 32: 12-20. DOI: 10.1002/Scj.1022 |
0.328 |
|
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