Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yotaro, Katayama"'
Autor:
Yotaro Katayama, Tetsuya J. Kobayashi
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
The repertoire of T cell receptors encodes various types of immunological information. Machine learning is indispensable for decoding such information from repertoire datasets measured by next-generation sequencing (NGS). In particular, the classific
Externí odkaz:
https://doaj.org/article/da8c5d3f91804b9ba3252cafdc72fd79
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Sparked by the development of genome sequencing technology, the quantity and quality of data handled in immunological research have been changing dramatically. Various data and database platforms are now driving the rapid progress of machine learning
Externí odkaz:
https://doaj.org/article/2397c81a1f2244a6905d69ee8786e0df
Publikováno v:
Interspeech 2022.
Autor:
Yotaro, Katayama, Tetsuya J, Kobayashi
Publikováno v:
Frontiers in immunology. 13
The repertoire of T cell receptors encodes various types of immunological information. Machine learning is indispensable for decoding such information from repertoire datasets measured by next-generation sequencing (NGS). In particular, the classific
Autor:
Yotaro Katayama, Hideyuki Tachibana
Publikováno v:
ICASSP
In Japanese text-to-speech (TTS), it is necessary to add accent information to the input sentence. However, there are a limited number of publicly available accent dictionaries, and those dictionaries e.g. UniDic, do not contain many compound words,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b8a933f87379bf5f0d0c68b8c29a350
http://arxiv.org/abs/2009.09679
http://arxiv.org/abs/2009.09679
Publikováno v:
Transactions of the Institute of Systems, Control and Information Engineers. 26:74-83
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2012:2A1-B04_1