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J-GLOBAL ID:201001009238237749   Update date: Jan. 30, 2024

Saigo Hiroto

サイゴウ ヒロト | Saigo Hiroto
Affiliation and department:
Job title: Associate Professor
Other affiliations (1):
  • RIKEN
Homepage URL  (1): http://www.i.kyushu-u.ac.jp/%7Esaigo/
Research field  (1): Information theory
Research keywords  (5): Cheminformatics ,  Bioinformatics ,  Statistics ,  Data Mining ,  Machine Learning
Research theme for competitive and other funds  (7):
  • 2021 - 2025 Impact of Interfacial and Electrical Characteristics on Rheological Property of Molten Oxide-based Suspension at High Temperature
  • 2019 - 2023 Development of algorithms for manufacture informatics and its evaluation in steel industry
  • 2018 - 2020 転移学習を利用した高温二相流体のレオロジー特性予測システム構築継続中
  • 2013 - 2016 複数の遺伝要因及び環境要因の組み合わせを考慮したゲノムワイド相関解析法の開発
  • 2013 - 2014 マルチモーダル多視点画像を用いたタンパク質立体構造の解析
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Papers (46):
  • Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki. Topic modeling for sequential documents based on hybrid inter-document topic dependency. Journal of Intelligent Information Systems. 2021. 56. 3. 435-458
  • Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo. Sparse Nonnegative Interaction Models. IEEE Access. 2021. 9. 109994-110005
  • Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki. Context-Aware Latent Dirichlet Allocation for Topic Segmentation. Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference. 2020. 475-486
  • Takayanagi, M, Tabei, Y, Saigo, H. Entire regularization path for sparse nonnegative interaction model. International Conference on Data Mining (ICDM2018). 2018
  • Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui. Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018. 15. 1. 286-299
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MISC (1):
  • SAIGO Hiroto, VERT Jean-Philippe, AKUTSU Tatsuya. Optimizing amino acid substitution matrices with local alignment kernels. IPSJ SIG Notes. 2006. 2006. 29. 47-50
Books (6):
  • Matrix Decomposition-based Dimensionality Reduction on Graph Data, In Sakr, S. and Pardede, E. editors Graph Data Management: Techniques and Applications
    IGI Global 2011
  • Tsuda, K. and Saigo, H.: Graph Classification, In Sakr, C.C.C. and Wang, H. editors Managing and Mining Graph Data
    Springer 2010
  • Graph Kernels for Chemoinformatics, In Lodhi, H and Yamanishi, Y. editors Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Method and Collaborative Techniques
    2010
  • Graph Mining for Chemoinformatics, In Lodhi, H and Yamanishi, Y. editors Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Method and Collaborative Techniques
    2010
  • Local Alignment Kernels for Biological Sequences, In Bernhard Schölkopf, Koji Tsuda and Jean-Philippe Vert editors, Kernel Methods in Computational Biology(jointly worked)
    MIT Press 2004
more...
Lectures and oral presentations  (1):
  • Mining and Learning with Structured Data, Japan America Germany Frontiers of Science Symposium
    (Japan America Germany Frontiers of Science Symposium 2017)
Education (6):
  • - 2004 カリフォルニア大学アーバイン校 情報学研究科 ゲノム生命情報学
  • - 2004 University of California, Irvine School of Information and Computer Science Genomics and Bioinformatics
  • - 2003 Kyoto University
  • - 2003 Kyoto University Graduate School, Division of Information and Communication Intelligence Science and Technology
  • - 2001 Sophia University Faculty of Science and Technology
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Professional career (1):
  • Doctor of Informatics (Kyoto University)
Work history (10):
  • 2020/10 - 現在 RIKEN
  • 2016 - 現在 准教授、 九州大学
  • 2010 - 2016 准教授、九州工業大学
  • 2010 - present Associate Professor, Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Japan.
  • 2008 - 2010 研究員、ドイツ、マックスプランク情報学研究所
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Awards (4):
  • 2007 - 人工知能学会研究会優秀賞
  • 2007 - JSAI Incentive Award
  • 2006 - 最優秀論文賞
  • 2006 - Best Paper Award
Association Membership(s) (3):
JAPANESE SOCIETY FOR BIOINFORMATICS ,  THE JAPAN STATISTICAL SOCIETY ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
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