西郷浩人 (Hiroto Saigo) - マイポータル

基本情報

所属: 九州大学大学院システム情報科学研究院情報学部門准教授
: 特定国立研究開発法人理化学研究所客員研究員

学位: 情報学博士(京都大学)

J-GLOBAL ID: 201001009238237749
researchmap会員ID: 6000023875

外部リンク: http://www.i.kyushu-u.ac.jp/%7Esaigo/

研究キーワード

研究分野

情報通信 / 情報学基礎論 /

経歴

学歴

- 2004年

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年

University of California, Irvine, School of Information and Computer Science, Genomics and Bioinformatics
- 2003年

京都大学, 情報学研究科, 知能情報学
- 2003年

京都大学
- 2001年

上智大学, 理工学部, 電気電子工学
- 2001年

上智大学

受賞

論文

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年査読有り
Sparse Nonnegative Interaction Models.

Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo

IEEE Access 9 109994-110005 2021年査読有り
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年査読有り
Entire regularization path for sparse nonnegative interaction model

International Conference on Data Mining (ICDM2018) 2018年11月査読有り
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 2018年1月1日査読有り
CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

Clarence White,Hamid, D. Ismail, Hiroto Saigo, K. C. Dukka B

BMC Bioinformatics 18(16) 221-232 2017年12月査読有り
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 2017年11月査読有り
CNN-BLPred: A Convolutional Neural Network based predictor for Beta-Lactamases (BL) and their classes

西郷浩人

International Conference on Bioinformatics (InCoB2017) 2017年9月査読有り
KDSNP: a Kernel-based approach to Detecting high-order genetic Epistasis

Kodama, K, Saigo, H

International Conference on Genome Informatics (GIW2016) 2016年10月査読有り
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 2016年10月査読有り
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 2016年8月13日査読有り
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 2016年8月13日査読有り
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 2015年12月査読有り
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) 2015年9月査読有り
Fast Iterative Mining Using Sparsity-Inducing Loss Functions

Hiroto Saigo, Hisashi Kashima, Koji Tsuda

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E96D(8) 1766-1773 2013年8月査読有り
Protein Clustering on a Grassmann Manifold

Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui

PATTERN RECOGNITION IN BIOINFORMATICS 7632 71-81 2012年査読有り
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 2011年5月査読有り
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年査読有り
Matrix Decomposition-based Dimensionality Reduction on Graph Data.

Hiroto Saigo, Koji Tsuda

Graph Data Management: Techniques and Applications. 260-284 2011年査読有り
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年査読有り