Tomoharu Iwata
About
Tomoharu Iwata has authored 95 papers that have received a total of 902 indexed citations.
This includes 69 papers in Artificial Intelligence, 18 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (21 papers), Natural Language Processing Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Tomoharu Iwata is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (12 papers) and collaborates with scholars based in Japan, United States and United Kingdom. Tomoharu Iwata's co-authors include Naonori Ueda, Takeshi Yamada, Shinji Watanabe, Koh Takeuchi and Kazumi Saito and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Journal on Selected Areas in Communications
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