研究者
J-GLOBAL ID:201401016443401433   更新日: 2024年02月01日

馬見塚 拓

Mamitsuka Hiroshi
ホームページURL (2件): http://www.bic.kyoto-u.ac.jp/pathway/mamihttps://www.bic.kyoto-u.ac.jp/pathway/mami/index.html
研究分野 (1件): 知能情報学
研究キーワード (3件): データ駆動型科学 ,  バイオインフォマティクス (生命情報科学) ,  機械学習
競争的資金等の研究課題 (16件):
  • 2021 - 2026 構造が制御された超分岐高分子を基盤とする次世代高分子材料の開発
  • 2022 - 2025 多様なデータからの包括的データ構造推定
  • 2020 - 2023 うつ症状の生物学を解明するための機械学習に基づくバイオインフォマティクスの構築
  • 2019 - 2022 複数のテンソルからの効率的なデータ構造推定
  • 2016 - 2020 複数行列データからのデータ因子構造推定
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論文 (223件):
  • Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka. Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. Frontiers in Artificial Intelligence and Applications. 2023
  • Wei Qu, Ronghui You, Hiroshi Mamitsuka, Shanfeng Zhu. DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction. Bioinformatics. 2023. 39. 9
  • Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka. Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. IEEE Transactions on Neural Networks and Learning Systems. 2023. 1-6
  • Zhirui Liao, Lei Xie, Hiroshi Mamitsuka, Shanfeng Zhu. Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer. Bioinformatics. 2022. 39. 1
  • Ronghui You, Wei Qu, Hiroshi Mamitsuka, Shanfeng Zhu. DeepMHCII: A novel binding core-Aware deep interaction model for accurate MHC-II peptide binding affinity prediction. Bioinformatics. 2022. 38. I220-I228
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MISC (24件):
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特許 (11件):
書籍 (14件):
  • Machine Learning for Marketing
    Global Data Science Publishing 2019 ISBN:9784991044526
  • Textbook of Machine Learning and Data Mining (with Bioinformatics Applications)
    Global Data Science Publishing 2018 ISBN:9784991044502
  • Methods in Molecular Biology, Volume 1807: Data Mining for Systems Biology: Methods and Protocols, 2nd Edition
    Humana Press (Springer) 2018 ISBN:9781493985609
  • Methods in Molecular Biology, Volume 993: In Silico Models for Drug Discovery
    Humana Press (Springer) 2013 ISBN:9781627033411
  • Methods in Molecular Biology, Volume 939: Data Mining for Systems Biology: Methods and Protocols
    Humana Press (Springer) 2012 ISBN:9781627031066
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講演・口頭発表等 (172件):
  • Hypergraph for predicting adverse drug reaction
    (SFD (Structure, Funcation and Dynamics) Conference 2023)
  • Hypergraph for predicting adverse drug reaction
    (Computer Science Colloquium 2023)
  • Hypergraph for predicting adverse drug reactions
    (Seminar 2023)
  • Churn analysis - Machine learning approach -
    (Seminar 2023)
  • Hypergraph for predicting adverse drug reactions
    (Forest Workshop 2023)
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経歴 (3件):
  • 2005/04 - 現在 京都大学 化学研究所 附属バイオインフォマティクスセンター
  • 2002/04 - 2005/03 京都大学 化学研究所 寄附研究部門
  • 1991/04 - 2002/03 日本電気株式会社
委員歴 (102件):
  • 2013/02 - 現在 Computational Intelligence Society, IEEE Bioinformatics and Bioengineering Technical Committee Member
  • 2023/10 - 2023/10 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) Senior Program Committee Member
  • 2023/09 - 2023/09 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023) Program Committee Member
  • 2023/08 - 2023/08 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) Program Committee Member
  • 2023/07 - 2023/07 Fortieth International Conference on Machine Learning (ICML 2023) Program Committee Member
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受賞 (4件):
  • 2018/12 - School of Science, Aalto University SCI Awards 2018: Innovation of the Year Using Machine Learning to Tackle the Impending Food Crisis
  • 2014/11 - Dream Challenges Best performer The Broad-DREAM Gene Essentiality Prediction Challenge, Sub-Challenge 1
  • 2014/02 - IEEE Kansai Section IEEE Kansai Section Medal
  • 2009 - IEEE Computer Society Service Award Program Committee Co-chair of the 9th IEEE International Conference on Bioinformatics and Bioengineering
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