Einoshin Suzuki

52 papers and 315 indexed citations i.

Einoshin Suzuki has authored 52 papers that have received a total of 315 indexed citations. This includes 36 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Theory and Mathematics. The topics of these papers are Anomaly Detection Techniques and Applications (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Data Mining Algorithms and Applications (8 papers). Einoshin Suzuki is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Data Mining Algorithms and Applications (8 papers) and collaborates with scholars based in Japan, France and China. Einoshin Suzuki's co-authors include Tetsu Matsukawa, Bin Tong, Shin Ando, Hao Shao and Hirofumi Fujita and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Transactions on Neural Networks and Learning Systems