Joe Suzuki

36 papers and 374 indexed citations i.

Joe Suzuki has authored 36 papers that have received a total of 374 indexed citations. This includes 29 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 5 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (18 papers), Machine Learning and Algorithms (9 papers) and Statistical Methods and Inference (6 papers). Joe Suzuki is often cited by papers focused on Bayesian Modeling and Causal Inference (18 papers), Machine Learning and Algorithms (9 papers) and Statistical Methods and Inference (6 papers) and collaborates with scholars based in Japan, United States and Singapore. Joe Suzuki's co-authors include Jun Kawahara, Maomi Ueno, Akihiro Yamamoto, Takashi Washio and Yoshinobu Kawahara and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Proceedings of the American Mathematical Society