Keisuke Yamazaki

22 papers and 147 indexed citations i.

Keisuke Yamazaki has authored 22 papers that have received a total of 147 indexed citations. This includes 17 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 4 papers in Control and Systems Engineering. The topics of these papers are Bayesian Methods and Mixture Models (12 papers), Gaussian Processes and Bayesian Inference (6 papers) and Neural Networks and Applications (4 papers). Keisuke Yamazaki is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Gaussian Processes and Bayesian Inference (6 papers) and Neural Networks and Applications (4 papers) and collaborates with scholars based in Japan and United States. Keisuke Yamazaki's co-authors include Sumio Watanabe, Yoichi Motomura, Garth Wells, Yoshiyuki Tomita and F. Cerrina and has published in prestigious journals such as Neural Networks, Neurocomputing and Machine Learning