Rchr
J-GLOBAL ID:201401016443401433   Update date: Feb. 01, 2024

Mamitsuka Hiroshi

Mamitsuka Hiroshi
Homepage URL  (2): http://www.bic.kyoto-u.ac.jp/pathway/mamihttps://www.bic.kyoto-u.ac.jp/pathway/mami/index.html
Research field  (1): Intelligent informatics
Research keywords  (3): data-driven science ,  bioinformatics ,  machine learning
Research theme for competitive and other funds  (16):
  • 2021 - 2026 Development of new fabrication methods of polymer materials based on the structurally controlled hyperbranched polymers
  • 2022 - 2025 多様なデータからの包括的データ構造推定
  • 2020 - 2023 Developing machine learning based bioinformatics to decipher hidden biology of depression symptoms
  • 2019 - 2022 Efficient estimation of data structure from multiple tensors
  • 2016 - 2020 Estimating the factor structure in multiple matrices
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Papers (223):
  • 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):
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Patents (11):
  • Method and system for selecting a plant variety
  • Knowledge finding method
  • 複数文字列アライメント方法およびシステム
  • 隠れマルコフモデル学習システム及び学習方法
  • タンパク質立体構造予測方法
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Books (14):
  • 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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Lectures and oral presentations  (172):
  • 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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Work history (3):
  • 2005/04 - 現在 Kyoto University Bioinformatics Center, Institute for Chemical Research Professor
  • 2002/04 - 2005/03 Kyoto University SGI Donation Laboratory, Institute for Chemical Research Visiting Associate Professor
  • 1991/04 - 2002/03 NEC Corporation Research Staff Member
Committee career (102):
  • 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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Awards (4):
  • 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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