Jun-ichiro Hirayama - Concepedia

Author

Jun-ichiro Hirayama

Advanced Telecommunications Research Institute International ORCID

Also Known As

Hirayama, Jun-Ichiro, Hirayama, Jun-ichiro, Jun-Ichiro Hirayama, Jun-ichiro Hirayama, Junichiro Hirayama

Publications

586

Citations

H-Index

Concepts

All Affiliations

Advanced Telecommunications Research Institute International Nara Institute of Science and Technology Kyoto University University of Helsinki National Institute of Advanced Industrial Science and Technology

About

Jun-ichiro Hirayama is an author at Advanced Telecommunications Research Institute International specializing in engineering, neuroscience, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	407
2	Medicine	4	4	70
3	Social Sciences	4	4	57
4	Health Sciences	1	1	34
5	Cognitive Science	1	1	13

Jun-ichiro Hirayama

Publications

481

Citations

H-Index

Page 1

	Year	Citations
Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI 2011) Michael U. Gutmann, Jun-ichiro Hirayama Artificial IntelligenceUncertainty (Quantum Physics)Uncertainty ManagementEngineeringUncertainty Quantification	2011	190
Learning a common dictionary for subject-transfer decoding with resting calibration Hiroshi Morioka, Atsunori Kanemura, Jun-ichiro Hirayama, NeuroImage Natural Language ProcessingEngineeringMachine LearningCommon DictionaryMultimodal Learning	2015	110
Bregman divergence as general framework to estimate unnormalized statistical models Michael U. Gutmann, Jun-ichiro Hirayama Edinburgh Research Explorer (University of Edinburgh) Ratio MatchingEngineeringMachine LearningMathematical StatisticEnsemble Algorithm	2011	36
Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution Takeshi OGAWA, Hideki Shimobayashi, Jun-ichiro Hirayama, NeuroImage Frontoparietal Motor NetworkDirected Functional ConnectivityNeuropsychologyMotor CommandMotor Control	2021	34
Bregman divergence as general framework to estimate unnormalized statistical models Michael U. Gutmann, Jun-ichiro Hirayama arXiv (Cornell University) Ratio MatchingEngineeringMachine LearningMathematical StatisticEnsemble Algorithm	2012	22
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis Jun-ichiro Hirayama, Shin‐ichi Maeda, Shin Ishii IEEE Transactions on Neural Networks Source SeparationEngineeringMachine LearningSpecial HmmSpeech Recognition	2007	20
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, arXiv (Cornell University) Geometric LearningEngineeringMachine LearningGeometric Deep LearningSocial Sciences	2022	17
Bayesian representation learning in the cortex regulated by acetylcholine Jun-ichiro Hirayama, Junichiro Yoshimoto, Shin Ishii Neural Networks Computational NeuroscienceCortical RemodelingNeuroscienceBayesian Representation LearningCognitive Neuroscience	2004	16
State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits Yu Takagi, Jun-ichiro Hirayama, Saori Tanaka NeuroImage NeuropsychologyBrain FunctionMultiple Task StatesBrain MappingBrain Organization	2019	13
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy Takeshi OGAWA, Jun-ichiro Hirayama, Pankaj Gupta, Wearable SystemEngineeringBiometricsBraincomputer InterfaceWearable Technology	2015	12

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