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Kosuke Hashimoto
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2020 – today
- 2023
- [j5]Kyohei Koyama, Kosuke Hashimoto, Chioko Nagao, Kenji Mizuguchi:
Attention network for predicting T-cell receptor-peptide binding can associate attention with interpretable protein structural properties. Frontiers Bioinform. 3 (2023) - 2022
- [c3]Han Wenhao, Ma Lei, Kosuke Hashimoto, Tadanori Fukami:
Classification of finger movement based on EEG phase using deep learning. SCIS/ISIS 2022: 1-4 - 2021
- [j4]Imad Abugessaisa
, Jordan A. Ramilowski
FANTOM enters 20th year: expansion of transcriptomic atlases and functional annotation of non-coding RNAs. Nucleic Acids Res. 49(Database-Issue): D892-D898 (2021)
2010 – 2019
- 2012
- [j3]Kosuke Hashimoto, Akihiro Hori, T. Hara, Shigeru Onogi, Hideaki Mouri
Dual-camera system for high-speed imaging in particle image velocimetry. J. Vis. 15(3): 193-195 (2012)
2000 – 2009
- 2008
- [j2]Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology. ACM Trans. Knowl. Discov. Data 2(1): 6:1-6:30 (2008) - [c2]Kosuke Hashimoto
Mining significant tree patterns in carbohydrate sugar chains. ECCB 2008: 167-173 - 2006
- [c1]Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita
A new efficient probabilistic model for mining labeled ordered trees. KDD 2006: 177-186 - 2005
- [j1]Shin Kawano
Prediction of glycan structures from gene expression data based on glycosyltransferase reactions. Bioinform. 21(21): 3976-3982 (2005)
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