Shin Ishii
Shin Ishii
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Cited by
Cited by
Virtual adversarial training: a regularization method for supervised and semi-supervised learning
T Miyato, S Maeda, M Koyama, S Ishii
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1979-1993, 2018
A Bayesian missing value estimation method for gene expression profile data
S Oba, M Sato, I Takemasa, M Monden, K Matsubara, S Ishii
Bioinformatics 19 (16), 2088-2096, 2003
Bayesian brain: Probabilistic approaches to neural coding
K Doya
MIT press, 2007
A critical time window for dopamine actions on the structural plasticity of dendritic spines
S Yagishita, A Hayashi-Takagi, GCR Ellis-Davies, H Urakubo, S Ishii, ...
Science 345 (6204), 1616-1620, 2014
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
On-line EM algorithm for the normalized Gaussian network
M Sato, S Ishii
Neural computation 12 (2), 407-432, 2000
Control of exploitation–exploration meta-parameter in reinforcement learning
S Ishii, W Yoshida, J Yoshimoto
Neural networks 15 (4-6), 665-687, 2002
Resolution of uncertainty in prefrontal cortex
W Yoshida, S Ishii
Neuron 50 (5), 781-789, 2006
Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas
M Ohira, S Oba, Y Nakamura, E Isogai, S Kaneko, A Nakagawa, T Hirata, ...
Cancer cell 7 (4), 337-350, 2005
Reinforcement learning for a biped robot based on a CPG-actor-critic method
Y Nakamura, T Mori, M Sato, S Ishii
Neural networks 20 (6), 723-735, 2007
Spiking network simulation code for petascale computers
S Kunkel, M Schmidt, JM Eppler, HE Plesser, G Masumoto, J Igarashi, ...
Frontiers in neuroinformatics 8, 78, 2014
Dopamine D2 receptors in discrimination learning and spine enlargement
Y Iino, T Sawada, K Yamaguchi, M Tajiri, S Ishii, H Kasai, S Yagishita
Nature 579 (7800), 555-560, 2020
Molecular-based prediction of early recurrence in hepatocellular carcinoma
Y Kurokawa, R Matoba, I Takemasa, H Nagano, K Dono, S Nakamori, ...
Journal of hepatology 41 (2), 284-291, 2004
Learning a common dictionary for subject-transfer decoding with resting calibration
H Morioka, A Kanemura, J Hirayama, M Shikauchi, T Ogawa, S Ikeda, ...
NeuroImage 111, 167-178, 2015
Reinforcement learning for cpg-driven biped robot
T Mori, Y Nakamura, M Sato, S Ishii
AAAI 4, 623-630, 2004
Multi-agent reinforcement learning: An approach based on the other agent's internal model
Y Nagayuki, S Ishii, K Doya
Proceedings Fourth International Conference on MultiAgent Systems, 215-221, 2000
A diffusion‐based neurite length‐sensing mechanism involved in neuronal symmetry breaking
M Toriyama, Y Sakumura, T Shimada, S Ishii, N Inagaki
Molecular systems biology 6 (1), 394, 2010
Novel risk stratification of patients with neuroblastoma by genomic signature, which is independent of molecular signature
N Tomioka, S Oba, M Ohira, A Misra, J Fridlyand, S Ishii, Y Nakamura, ...
Oncogene 27 (4), 441-449, 2008
A network of chaotic elements for information processing
S Ishi, K Fukumizu, S Watanabe
Neural Networks 9 (1), 25-40, 1996
An unsupervised EEG decoding system for human emotion recognition
Z Liang, S Oba, S Ishii
Neural Networks 116, 257-268, 2019
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