Masashi Shimbo
About
Masashi Shimbo has authored 33 papers that have received a total of 537 indexed citations.
This includes 28 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (17 papers), Advanced Graph Neural Networks (11 papers) and Natural Language Processing Techniques (9 papers). Masashi Shimbo is often cited by papers focused on Topic Modeling (17 papers), Advanced Graph Neural Networks (11 papers) and Natural Language Processing Techniques (9 papers) and collaborates with scholars based in Japan, Belgium and United States. Masashi Shimbo's co-authors include Marco Saerens, Yūji Matsumoto, Kazuo Hara, Amin Mantrach and Ikumi Suzuki and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition
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