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ORCIDJunichiro Yoshimoto
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2020 – today
- 2023
[j16]Chie Hieida
, Tomoaki Yamamoto, Takatomi Kubo, Junichiro Yoshimoto, Kazushi Ikeda:
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artif. Life Robotics 28(2): 388-393 (2023)- [j15]Zihao Yu, Mark Christian Guinto, Brian Godwin S. Lim, Renzo Roel P. Tan, Junichiro Yoshimoto, Kazushi Ikeda, Yasumi Ohta, Jun Ohta:
Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution. Artif. Life Robotics 28(3): 483-495 (2023) - [j14]Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto:
Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. Neural Networks 163: 327-340 (2023) - [c20]Zhongluo Li, Junichiro Yoshimoto, Kazushi Ikeda:
Temporal Attention for Robust Multiple Object Pose Tracking. ICONIP (4) 2023: 551-561 - 2021
- [j13]Takashi Nakano, Masahiro Takamura, Haruki Nishimura, Maro G. Machizawa, Naho Ichikawa, Atsuo Yoshino, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Makiko Yamada, Tetsuya Suhara, Junichiro Yoshimoto:
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training. NeuroImage 245: 118733 (2021) - [j12]Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization. Neural Networks 142: 269-287 (2021) - [c19]Takuma Kuroki, Osamu Shouno, Junichiro Yoshimoto:
Semi-Supervised Estimation of Driving Behaviors Using Robust Time-Contrastive Learning. APSIPA ASC 2021: 1363-1366 - [c18]Felan Carlo C. Garcia, Ayumi Hirao, Aran Tajika, Toshi A. Furukawa, Kazushi Ikeda, Junichiro Yoshimoto:
Leveraging Longitudinal Lifelog Data Using Survival Models for Predicting Risk of Relapse among Patients with Depression in Remission. EMBC 2021: 2455-2458 - [c17]Panyawut Sri-Iesaranusorn, Felan Carlo C. Garcia, Francis Tiausas, Supatsara Wattanakriengkrai, Kazushi Ikeda, Junichiro Yoshimoto:
Toward the Perfect Stroke: A Multimodal Approach for Table Tennis Stroke Evaluation. ICMU 2021: 1-5 - 2020
- [c16]Panyawut Sri-Iesaranusorn, Saeka Shimochi, Naoki Ono, Emrah Yatkin, Hidehiro Iida, Kazushi Ikeda, Junichiro Yoshimoto:
Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats. APSIPA 2020: 952-957 - [c15]Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Tomoya Matsumoto, Manabu Fuchikami, Satoshi Okada, Shigeru Morinobu, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data. APSIPA 2020: 1023-1032 - [c14]Wenjun Bai, Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. BIBM 2020: 968-971 - [i1]Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Multiple-view clustering for correlation matrices based on Wishart mixture model. CoRR abs/2010.09941 (2020)
2010 – 2019
- 2019
- [c13]Junichiro Yoshimoto, Jumpei Ozaki, Kohta Mizutani, Takashi Nakano, Kazushi Ikeda, Takayuki Yamashita:
Statistical analysis on characteristic whisker movements observed in reward processing. APSIPA 2019: 723-726 - 2018
- [j11]Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya:
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. Neural Networks 102: 120-137 (2018) - 2017
- [j10]Kosuke Yoshida, Junichiro Yoshimoto, Kenji Doya:
Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. BMC Bioinform. 18(1): 108:1-108:11 (2017) - 2016
- [c12]Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda:
A reinforcement learning approach to the shepherding task using SARSA. IJCNN 2016: 3833-3836 - 2015
- [c11]Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto, Shigeru Toki, Go Okada, Masahiro Takamura, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Resting state functional connectivity explains individual scores of multiple clinical measures for major depression. BIBM 2015: 1078-1083 - [c10]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 - 2013
- [j9]Takashi Nakano, Junichiro Yoshimoto, Kenji Doya:
A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Frontiers Comput. Neurosci. 7: 119 (2013) - 2011
- [j8]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) - 2010
- [j7]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya:
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. 22(2): 342-376 (2010) - [j6]Takashi Nakano, Tomokazu Doi, Junichiro Yoshimoto, Kenji Doya:
A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity. PLoS Comput. Biol. 6(2) (2010) - [c9]Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Free-energy-based reinforcement learning in a partially observable environment. ESANN 2010
2000 – 2009
- 2009
- [c8]Takashi Nakano, Junichiro Yoshimoto, Jeff Wickens, Kenji Doya:
Calcium Responses Model in Striatum Dependent on Timed Input Sources. ICANN (1) 2009: 249-258 - [c7]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A Generalized Natural Actor-Critic Algorithm. NIPS 2009: 1312-1320 - 2008
- [c6]Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Robust Population Coding in Free-Energy-Based Reinforcement Learning. ICANN (1) 2008: 377-386 - [c5]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) 2008: 82-97 - 2007
- [c4]Junichiro Yoshimoto, Kenji Doya:
Bayesian System Identification of Molecular Cascades. ICONIP (1) 2007: 614-624 - 2006
- [j5]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) - 2005
- [j4]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) - 2004
- [j3]Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks 17(10): 1391-1400 (2004) - 2003
- [c3]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 - 2002
- [j2]Shin Ishii, Wako Yoshida, Junichiro Yoshimoto:
Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Networks 15(4-6): 665-687 (2002) - [c2]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN 2002: 661-666 - 2001
- [j1]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) - 2000
- [c1]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
On-Line EM Reinforcement Learning. IJCNN (3) 2000: 163-168
Coauthor Index
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