Masa-aki Sato - RankMe

62 papers A* 2B 4C 7Misc 1Journal 36Unranked 12

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Computational Model for Human 3D Shape Perception From a Single Specular Image. Frontiers Comput. Neurosci. Takeaki Shimokawa, Akiko Nishio, Masa-aki Sato, Mitsuo Kawato, Hidehiko Komatsu
2019	J	`jnl`	Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs. NeuroImage Yusuke Takeda, Takashi Itahashi, Masa-aki Sato, Okito Yamashita
2016	J	`jnl`	Estimating repetitive spatiotemporal patterns from resting-state brain activity data. NeuroImage Yusuke Takeda, Nobuo Hiroe, Okito Yamashita, Masa-aki Sato
2016	J	`jnl`	Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm. NeuroImage Okito Yamashita, Takeaki Shimokawa, Ryota Aisu, Takashi Amita, Yoshihiro Inoue, Masa-aki Sato
2016	J	`jnl`	Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes. NeuroImage Takanori Sato, Isao Nambu, Kotaro Takeda, Takatsugu Aihara, Okito Yamashita, Yuko Isogaya, Yoshihiro Inoue, Yohei Otaka, Yasuhiro Wada, Mitsuo Kawato, Masa-aki Sato, Rieko Osu
2015	J	`jnl`	Corrigendum to "MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks" [NeuroImage 105 (2015) 408-427]. NeuroImage Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato
2015	J	`jnl`	MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. NeuroImage Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato
2015	J	`jnl`	Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics. Frontiers Comput. Neurosci. Huu Hoang, Okito Yamashita, Isao T. Tokuda, Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama
2015	J	`jnl`	Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
2014	J	`jnl`	Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem. NeuroImage Ken-ichi Morishige, Taku Yoshioka, Dai Kawawaki, Nobuo Hiroe, Masa-aki Sato, Mitsuo Kawato
2014	J	`jnl`	Hierarchical Bayesian Model for Diffuse Optical Tomography of the Human Brain: Human Experimental Study. J. Adv. Comput. Intell. Intell. Informatics Okito Yamashita, Takeaki Shimokawa, Takashi Kosaka, Takashi Amita, Yoshihiro Inoue, Masa-aki Sato
2013	J	`jnl`	Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert's actions in pilots and non-pilots on a complex glider landing task. NeuroImage Daniel E. Callan, Cengiz Terzibas, Daniel B. Cassel, Akiko E. Callan, Mitsuo Kawato, Masa-aki Sato
2013	—	`conf`	MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model. ISBI Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato
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`	Brain-controlled exoskeleton robot for BMI rehabilitation. Humanoids Tomoyuki Noda, Norikazu Sugimoto, Jun-ichiro Furukawa, Masa-aki Sato, Sang-Ho Hyon, Jun Morimoto
2012	J	`jnl`	Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior. NeuroImage Takatsugu Aihara, Yusuke Takeda, Kotaro Takeda, Wataru Yasuda, Takanori Sato, Yohei Otaka, Takashi Hanakawa, Manabu Honda, Meigen Liu, Mitsuo Kawato, Masa-aki Sato, Rieko Osu
2012	—	`conf`	Hierarchical Bayesian model for diffuse optical tomography of human brains. SCIS&ISIS Okito Yamashita, Takeaki Shimokawa, Takashi Kosaka, Masa-aki Sato, Takashi Amita, Yoshihiro Inoue
2012	J	`jnl`	Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents. NeuroImage Natsue Yoshimura, Charles S. DaSalla, Takashi Hanakawa, Masa-aki Sato, Yasuharu Koike
2011	J	`jnl`	Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. Intell. Autom. Soft Comput. Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii
2011	B	`conf`	Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
2011	J	`jnl`	Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods. NeuroImage Akihiro Toda, Hiroshi Imamizu, Mitsuo Kawato, Masa-aki Sato
2010	J	`jnl`	A generalized method to estimate waveforms common across trials from EEGs. NeuroImage Yusuke Takeda, Masa-aki Sato, Kentaro Yamanaka, Daichi Nozaki, Yoshiharu Yamamoto
2010	—	`conf`	Impact of language on audiovisual speech perception examined by fMRI. AVSP Jun Shinozaki, Kaoru Sekiyama, Nobuo Hiroe, Taku Yoshioka, Masa-aki Sato
2010	J	`jnl`	Premotor cortex mediates perceptual performance. NeuroImage Daniel E. Callan, Akiko E. Callan, Mario Gamez, Masa-aki Sato, Mitsuo Kawato
2009	J	`jnl`	A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage Yusuke Fujiwara, Okito Yamashita, Dai Kawawaki, Kenji Doya, Mitsuo Kawato, Keisuke Toyama, Masa-aki Sato
2009	J	`jnl`	Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). NeuroImage Isao Nambu, Rieko Osu, Masa-aki Sato, Soichi Ando, Mitsuo Kawato, Eiichi Naito
2008	—	`conf`	Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. ICONIP (1) Ken-ichi Morishige, Dai Kawawaki, Taku Yoshioka, Masa-aki Sato, Mitsuo Kawato
2008	J	`jnl`	Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals. NeuroImage Taku Yoshioka, Keisuke Toyama, Mitsuo Kawato, Okito Yamashita, Shigeaki Nishina, Noriko Yamagishi, Masa-aki Sato
2008	J	`jnl`	Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. NeuroImage Okito Yamashita, Masa-aki Sato, Taku Yoshioka, Frank Tong, Yukiyasu Kamitani
2007	—	`conf`	Hierarchical Bayesian Inference of Brain Activity. ICONIP (1) Masa-aki Sato, Taku Yoshioka
2007	J	`jnl`	Learning a dynamic policy by using policy gradient: application to biped walking. Syst. Comput. Jpn. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2007	—	`conf`	Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method. ICONIP (2) Akihiro Toda, Hiroshi Imamizu, Masa-aki Sato, Yasuhiro Wada, Mitsuo Kawato
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
2006	J	`jnl`	Learning CPG-based biped locomotion with a policy gradient method. Robotics Auton. Syst. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2005	—	`conf`	Learning CPG-based biped locomotion with a policy gradient method. Humanoids Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2005	A*	`conf`	Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. ICRA Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2004	J	`jnl`	Hierarchical Bayesian estimation for MEG inverse problem. NeuroImage Masa-aki Sato, Taku Yoshioka, Shigeki Kajihara, Keisuke Toyama, Naokazu Goda, Kenji Doya, Mitsuo Kawato
2004	A*	`conf`	Reinforcement Learning for CPG-Driven Biped Robot. AAAI Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii
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	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`	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`	Incremental Sparse Kernel Machine. ICANN Masa-aki Sato, Shigeyuki Oba
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	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	C	`conf`	On-Line Learning Methods for Gaussian Processes. ICANN Shigeyuki Oba, Masa-aki Sato, Shin Ishii
2001	J	`jnl`	Online Model Selection Based on the Variational Bayes. Neural Comput. Masa-aki Sato
2001	J	`jnl`	Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks Shin Ishii, Masa-aki Sato
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
1997	J	`jnl`	Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks Shin Ishii, Masa-aki Sato
1994	—	`conf`	Distributed Pool for Efficient Data Distribution in KL1. Workshop on Design and Impl. of Parallel Logic Programming Systems Masahiko Yamauchi, Masa-aki Sato, Takashi Chikayama
1992	—	`conf`	The Design of the PIMOS File System. FGCS Fumihide Itoh, Takashi Chikayama, Takeshi Mori, Masa-aki Sato, Tatsuo Kato, Tadashi Sato
1990	B	`conf`	APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature. IJCNN Masa-aki Sato, Kazuki Joe, Tatsuya Hirahara
1990	B	`conf`	Rotational invariant formulation for line process. IJCNN Masa-aki Sato