Shohei Shimizu
About
Shohei Shimizu has authored 58 papers that have received a total of 2.1k indexed citations.
This includes 34 papers in Artificial Intelligence, 20 papers in Signal Processing and 10 papers in Management Science and Operations Research. The topics of these papers are Bayesian Modeling and Causal Inference (24 papers), Blind Source Separation Techniques (16 papers) and Spectroscopy and Chemometric Analyses (9 papers). Shohei Shimizu is often cited by papers focused on Bayesian Modeling and Causal Inference (24 papers), Blind Source Separation Techniques (16 papers) and Spectroscopy and Chemometric Analyses (9 papers) and collaborates with scholars based in Japan, Finland and China. Shohei Shimizu's co-authors include Xiaokang Zhou, Aapo Hyvärinen, Patrik O. Hoyer, Wei Liang and Takashi Washio and has published in prestigious journals such as ACS Applied Materials & Interfaces, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Biomedical Engineering
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