Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shoya Matsumori"'
Publikováno v:
IEEE Access, Vol 11, Pp 9835-9850 (2023)
This paper conducts the first trial to apply a masked language AI model and the “Gini coefficient” to the field of English study. We propose an algorithm named CLOZER that generates open cloze questions that inquiry knowledge of English learners.
Externí odkaz:
https://doaj.org/article/2e8f2db4ec9a4328bfb89f1e5f081939
Autor:
Shoya Matsumori, Kosei Teramoto, Hiroya Iyori, Takanori Soda, Shusuke Yoshimoto, Haruo Mizutani
Publikováno v:
IEEE Access, Vol 10, Pp 13624-13632 (2022)
Analysis of sleep stages using electroencephalograms (EEGs), a critical procedure in health monitoring, has been researched extensively. Scoring of the sleep stages is highly dependent on experts’ knowledge or hand-crafted features created by exper
Externí odkaz:
https://doaj.org/article/58afe4df96f14ca8936c6bd7ace17b26
Publikováno v:
IEEE Access, Vol 9, Pp 160521-160532 (2021)
Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our goal in this paper is to address the more challenging multi-turn image
Externí odkaz:
https://doaj.org/article/902b53a891e244218fca5ab31598299b
Autor:
Ryoichi Shibata, Shoya Matsumori, Yosuke Fukuchi, Tomoyuki Maekawa, Mitsuhiko Kimoto, Michita Imai
Publikováno v:
ACM Transactions on Interactive Intelligent Systems.
When people are talking together in front of digital signage, advertisements that are aware of the context of the dialogue will work the most effectively. However, it has been challenging for computer systems to retrieve the appropriate advertisement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f4fda9a398f4193430965bea0391c4f
https://doi.org/10.1145/3588578
https://doi.org/10.1145/3588578
Autor:
Fangzhou Li, Shoya Matsumori, Naohiro Egawa, Shusuke Yoshimoto, Kotaro Yamashiro, Haruo Mizutani, Noriko Uchida, Atsuko Kokuryu, Akira Kuzuya, Ryosuke Kojima, Yu Hayashi, Ryosuke Takahashi
Publikováno v:
Bioelectricity. 4:3-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac56afc977311fe8598c3a41f60a7a5f
https://doi.org/10.1089/bioe.2021.0030
https://doi.org/10.1089/bioe.2021.0030
Publikováno v:
IEEE Access, Vol 9, Pp 160521-160532 (2021)
Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our goal in this paper is to address the more challenging multi-turn image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ddfa2cfbbdecbd88e771fddd476068f
https://doi.org/10.1109/access.2021.3129215
https://doi.org/10.1109/access.2021.3129215
Autor:
Ryoichi Shibata, Shoya Matsumori, Yosuke Fukuchi, Tomoyuki Maekawa, Mitsuhiko Kimoto, Michita Imai
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b8b8b463de6720780c7aa71aea0921
https://doi.org/10.1145/3490099.3511116
https://doi.org/10.1145/3490099.3511116
Publikováno v:
HAI
To create dialogue systems that provide information a user needs to know at an opportune moment, it is important to infer the user’s mental states such as his/her beliefs and desires. There are two types of study on inferring beliefs and desires: o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47775e649ce0a49a3c9d0951dc995073
https://doi.org/10.1145/3472307.3484668
https://doi.org/10.1145/3472307.3484668
Publikováno v:
Neural Information Processing ISBN: 9783030922696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::142a7a3210b24d2625333dc7e8140434
https://doi.org/10.1007/978-3-030-92270-2_14
https://doi.org/10.1007/978-3-030-92270-2_14
Publikováno v:
ICAART (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b646dd2a0ac730bdc81fa79ecb9e8b7e
https://doi.org/10.5220/0010260103210328
https://doi.org/10.5220/0010260103210328