Tomoya Sakai

28 papers and 146 indexed citations i.

Tomoya Sakai has authored 28 papers that have received a total of 146 indexed citations. This includes 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. The topics of these papers are Image Retrieval and Classification Techniques (5 papers), Machine Learning and Data Classification (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Tomoya Sakai is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Machine Learning and Data Classification (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in Japan. Tomoya Sakai's co-authors include Atsushi Imiya, Masashi Sugiyama, Yasuo Noda, Hayato Itoh and Gang Niu and has published in prestigious journals such as Neural Computation, Neural Networks and Machine Learning