Rchr
J-GLOBAL ID：201601008186516723
Update date: Apr. 23, 2024
Yamada Kazunori
ヤマダ カズノリ | Yamada Kazunori
Affiliation and department：
Job title：
Professor
Homepage URL (1)：
https://yamada-lab.gr.jp/
Research field (2)：
Intelligent informatics
, Biological, health, and medical informatics
Research keywords (3)：
Artificial intelligence
, Machine learning
, Sequence analysis
Research theme for competitive and other funds (2)：
- 2018 - 2020 人工知能で目指すアミノ酸配列類似性検索法の高速化および高感度化研究
- 2016 - 2020 MAFFT多重アラインメントプログラムの大量配列データへの対応と機能拡張
Papers (35)：
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Maas A, Yamada KD, Nagahama T, Kawada T, Horita T. Question generation for English reading comprehension exercises using Transformers. Letters on Informatics and Interdisciplinary Research. 2024
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Lin F, Yue Y, Zhang Z, Hou S, Yamada KD, Kolachalama VB, Saligrama V. InfoCD: A contrastive chamfer distance loss for point cloud completion. Advances in Neural Information Processing Systems. 2023
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Lin F, Yue Y, Hou S, Yu X, Xu Y, Yamada KD, Zhang Z. Hyperbolic chamfer distance for point cloud completion. International Conference on Computer Vision. 2023
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Nagase Y, Satoh T, Shigetome K, Tokumaru N, Matsumoto E, Yamada KD, Imafuku T, Watanabe H, Maruyama T, Ogata Y, et al. Serum fatty acid composition balance by fuzzy c-means method in individuals with or without metabolic dysfunction-associated fatty liver disease. Nutrients. 2023. 15. 4. 809-809
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Maas A, Kawada T, Yamada K, Nagahama T, Horita T. Identifying latent traits of questions for controllable machine generation. EdMedia + Innovate Learning. 2022
ｍore...
Professional career (1)：
- Doctor of Philosophy (The University of Tokyo)
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