Hiroto Saigo

According to our database, Hiroto Saigo authored at least 32 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace.

Kendai Itakura, Dukka Bahadur, Hiroto Saigo

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents.

Kotaro Ii, Hiroto Saigo, Yasuo Tabei

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model.

Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka B. KC

BMC Bioinform., December, 2023

2022

Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo, K. C. Dukka B.

BMC Bioinform., 2022

2021

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

Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki

J. Intell. Inf. Syst., 2021

Sparse Nonnegative Interaction Models.

Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo

IEEE Access, 2021

2020

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo, Dukka B. KC

BMC Bioinform., April, 2020

Context-Aware Latent Dirichlet Allocation for Topic Segmentation.

Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Automatically mining Relevant Variable Interactions Via Sparse Bayesian Learning.

Ryoichiro Yafune, Daisuke Sakuma, Mirai Takayanagi, Yasuo Tabei, Noritaka Saito, Hiroto Saigo

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images.

Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors.

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

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Entire Regularization Path for Sparse Nonnegative Interaction Model.

Mirai Takayanagi, Yasuo Tabei, Hiroto Saigo

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

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 Bioinform., 2017

2016

KDSNP: A kernel-based approach to detecting high-order SNP interactions.

Kento Kodama, Hiroto Saigo

J. Bioinform. Comput. Biol., 2016

Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices.

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

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

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

J. Chem. Inf. Model., 2015

2013

Fast Iterative Mining Using Sparsity-Inducing Loss Functions.

Hiroto Saigo, Hisashi Kashima, Koji Tsuda

IEICE Trans. Inf. Syst., 2013

2012

Protein Clustering on a Grassmann Manifold.

Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui

Proceedings of the Pattern Recognition in Bioinformatics, 2012

2011

Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions.

Yoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, Véronique Stoven

J. Chem. Inf. Model., 2011

Matrix Decomposition-based Dimensionality Reduction on Graph Data.

Hiroto Saigo, Koji Tsuda

Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010

Graph Classification.

Koji Tsuda, Hiroto Saigo

Proceedings of the Managing and Mining Graph Data, 2010

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.

Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda

BMC Bioinform., 2010

2009

gBoost: a mathematical programming approach to graph classification and regression.

Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda

Mach. Learn., 2009

A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection.

Silvia Chiappa, Hiroto Saigo, Koji Tsuda

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

Partial least squares regression for graph mining.

Hiroto Saigo, Nicole Krämer, Koji Tsuda

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Regression with interval output values.

Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Iterative Subgraph Mining for Principal Component Analysis.

Hiroto Saigo, Koji Tsuda

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Mining complex genotypic features for predicting HIV-1 drug resistance.

Hiroto Saigo, Takeaki Uno, Koji Tsuda

Bioinform., 2007

2006

Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants.

Samuel A. Danziger, Sanjay Joshua Swamidass, Jue Zeng, Lawrence R. Dearth, Qiang Lu, Jonathan H. Chen, Jianlin Cheng, Vinh P. Hoang, Hiroto Saigo, Ray Luo, Pierre Baldi, Rainer K. Brachmann, Richard H. Lathrop

IEEE ACM Trans. Comput. Biol. Bioinform., 2006

Optimizing amino acid substitution matrices with a local alignment kernel.

Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu

BMC Bioinform., 2006

2005

Graph kernels for chemical informatics.

Liva Ralaivola, Sanjay Joshua Swamidass, Hiroto Saigo, Pierre Baldi

Neural Networks, 2005

2004

Protein homology detection using string alignment kernels.

Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu

Bioinform., 2004