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Neural Computation
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October 28, 2021
Semisupervised Ordinal Regression Based on Empirical Risk Minimization
Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, et al.
Neural Computation
|
January 18, 2020
Classification from Triplet Comparison Data
Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, et al.
PLOS Digital Health
|
November 5, 2025
Creating a general-purpose generative model for healthcare data based on multiple clinical studies
Hiroshi Maruyama, Kotatsu Bito, Yuki Saito, et al.
Nature Communications
|
May 31, 2022
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
So Takamoto, Chikashi Shinagawa, Daisuke Motoki, et al.
JMIR Research Protocols
|
June 9, 2023
Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
Masanobu Hibi, Shun Katada, Aya Kawakami, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Neural Computation
|
October 28, 2021
Semisupervised Ordinal Regression Based on Empirical Risk Minimization
Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, et al.
Neural Computation
|
January 18, 2020
Classification from Triplet Comparison Data
Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, et al.
PLOS Digital Health
|
November 5, 2025
Creating a general-purpose generative model for healthcare data based on multiple clinical studies
Hiroshi Maruyama, Kotatsu Bito, Yuki Saito, et al.
Nature Communications
|
May 31, 2022
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
So Takamoto, Chikashi Shinagawa, Daisuke Motoki, et al.
JMIR Research Protocols
|
June 9, 2023
Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
Masanobu Hibi, Shun Katada, Aya Kawakami, et al.
Page
of 1