Hiroto Saigo

Profile Information

Affiliation: Associate Professor, Faculty of Information Science and Electrical Engineering Department of Informatics, Kyushu University
: RIKEN

Degree: Doctor of Informatics(Kyoto University)

J-GLOBAL ID: 201001009238237749
researchmap Member ID: 6000023875

External link: http://www.i.kyushu-u.ac.jp/%7Esaigo/

Research Interests

Research Areas

Informatics / Information theory /

Research History

Education

Awards

Papers

Topic modeling for sequential documents based on hybrid inter-document topic dependency.

Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki

Journal of Intelligent Information Systems, 56(3) 435-458, 2021 Peer-reviewed
Sparse Nonnegative Interaction Models.

Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo

IEEE Access, 9 109994-110005, 2021 Peer-reviewed
Context-Aware Latent Dirichlet Allocation for Topic Segmentation.

Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki

Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, 475-486, 2020 Peer-reviewed
Entire regularization path for sparse nonnegative interaction model

Takayanagi, M, Tabei, Y, Saigo, H

International Conference on Data Mining (ICDM2018), Nov, 2018 Peer-reviewed
Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images

Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(1) 286-299, Jan 1, 2018 Peer-reviewed
CNN-BLPred: a Convolutional neural network based predictor for beta-Lactamases (BL) and their classes

Clarence White, Hamid D. Ismail, Hiroto Saigo, Dukka B. Kc

BMC BIOINFORMATICS, 18(16) 221-232, Dec, 2017 Peer-reviewed
RF-NR: Random forest based approach for improved classification of Nuclear Receptors.

Ismail H, Saigo H, Kc D

IEEE/ACM transactions on computational biology and bioinformatics, Nov, 2017 Peer-reviewed
CNN-BLPred: A Convolutional Neural Network based predictor for Beta-Lactamases (BL) and their classes

White, C, Ismail, H, Saigo, H, Bahadur, K.C, D

International Conference on Bioinformatics (InCoB2017), Sep, 2017 Peer-reviewed
KDSNP: a Kernel-based approach to Detecting high-order genetic Epistasis

Kodama, K, Saigo, H

International Conference on Genome Informatics (GIW2016), Oct, 2016 Peer-reviewed
KDSNP: A kernel-based approach to detecting high-order SNP interactions

Kento Kodama, Hiroto Saigo

Journal of Bioinformatics and Computational Biology, 14(5) 1-16, Oct, 2016 Peer-reviewed
Scalable partial least squares regression on grammar-compressed data matrices

Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 13-17- 1875-1884, Aug 13, 2016 Peer-reviewed
Scalable partial least squares regression on grammar-compressed data matrices

Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 13-17- 1875-1884, Aug 13, 2016 Peer-reviewed
Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) Models

Zheng Shao, Yuya Hirayama, Yoshihiro Yamanishi, Hiroto Saigo

JOURNAL OF CHEMICAL INFORMATION AND MODELING, 55(12) 2519-2527, Dec, 2015 Peer-reviewed
RF-NR: Random forest based approach for improved classification of Nuclear Receptors

Ismail, H.D, Saigo, H, Bahadur, K.C, D

International Conference on Genome Informatics & International Conference on Bioinformatics (GIW/InCoB2015), Sep, 2015 Peer-reviewed
Fast Iterative Mining Using Sparsity-Inducing Loss Functions

Hiroto Saigo, Hisashi Kashima, Koji Tsuda

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E96D(8) 1766-1773, Aug, 2013 Peer-reviewed
Protein Clustering on a Grassmann Manifold

Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui

PATTERN RECOGNITION IN BIOINFORMATICS, 7632 71-81, 2012 Peer-reviewed
Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions

Yoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, Veronique Stovent

JOURNAL OF CHEMICAL INFORMATION AND MODELING, 51(5) 1183-1194, May, 2011 Peer-reviewed
Learning from past treatments and their outcome improves prediction of in vivo response to anti-HIV therapy.

Saigo H, Altmann A, Bogojeska J, Müller F, Nowozin S, Lengauer T

Statistical applications in genetics and molecular biology, 10(1) Article 6, 2011 Peer-reviewed
Matrix Decomposition-based Dimensionality Reduction on Graph Data.

Hiroto Saigo, Koji Tsuda

Graph Data Management: Techniques and Applications., 260-284, 2011 Peer-reviewed
Graph kernels for chemoinformatics

Hisashi Kashima, Hiroto Saigo, Masahiro Hattori, Koji Tsuda

Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 1-15, 2010 Peer-reviewed

Misc.

Optimizing amino acid substitution matrices with local alignment kernels

SAIGO Hiroto, VERT Jean-Philippe, AKUTSU Tatsuya

IPSJ SIG Notes, 2006(29) 47-50, Mar 17, 2006

Books and Other Publications

Matrix Decomposition-based Dimensionality Reduction on Graph Data, In Sakr, S. and Pardede, E. editors Graph Data Management: Techniques and Applications

SAIGO Hiroto (Role: Joint author)

IGI Global, 2011
Tsuda, K. and Saigo, H.: Graph Classification, In Sakr, C.C.C. and Wang, H. editors Managing and Mining Graph Data

SAIGO Hiroto (Role: Joint author)

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

SAIGO Hiroto (Role: Joint author, IGI Global)

2010
Graph Mining for Chemoinformatics, In Lodhi, H and Yamanishi, Y. editors Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Method and Collaborative Techniques

(Role: Joint author, IGI Global)

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
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

Presentations

Mining and Learning with Structured Data, Japan America Germany Frontiers of Science Symposium

西郷浩人

Japan America Germany Frontiers of Science Symposium, Sep, 2017 Invited

Teaching Experience

136

2023

情報理工学論議Ⅰ (九州大学)
2023

【通年】情報理工学演習 (九州大学)
2023

【通年】情報理工学講究 (九州大学)
2023

情報理工学読解 (九州大学)
2023

情報理工学論述Ⅰ (九州大学)
2023

【通年】情報理工学研究Ⅰ (九州大学)
2023

生物情報科学 (九州大学)
2023

データ科学 (九州大学)
2022

情報学特別講究第一 (九州大学)
2022

国際演示技法 (九州大学)
2022

知的財産技法 (九州大学)
2022

ティーチング演習 (九州大学)
2022

先端プロジェクト管理技法 (九州大学)
2022

Scientific English Presentation (Kyushu University)
2022

Intellectual Property Management (Kyushu University)
2022

Exercise in Teaching (Kyushu University)
2022

Advanced Project Management Technique (Kyushu University)
2022

データサイエンス特别講究 (九州大学)
2022

Advanced Research in Data Science (Kyushu University)
2022

Advanced Research in Informatics I (Kyushu University)

Professional Memberships

Research Projects

Impact of Interfacial and Electrical Characteristics on Rheological Property of Molten Oxide-based Suspension at High Temperature

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2021 - Mar, 2025
Development of algorithms for manufacture informatics and its evaluation in steel industry

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2023
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

基盤(B), JSPS, 2018 - 2020

齊藤敬高
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

若手(A), JSPS, 2013 - 2016

西郷浩人
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

挑戦的萌芽, JSPS, 2013 - 2014

福井和広
全cDNA解析によるヒ素高蓄積植物土壌浄化システムの解析

若手(B), JSPS, 2011 - 2012

畑山正美
大量のタンパク質リガンドデータより相互作用の構造的特徴をマイニングする方法の開発

若手(B), JSPS, 2011 - 2012

西郷浩人

Profile Information

Research Interests

Research Areas

Research History

Education

Awards

Papers

Misc.

Books and Other Publications

Presentations

Teaching Experience

Professional Memberships

Research Projects

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