Hiroto Saigo

34 papers A* 4A 1B 2C 2Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin.
CoRR
Minrui Chen, Yi Zhou, Huidong Jiang, Yuhan Zhu, Guanjie Zou, Minqi Chen, Rong Tian, Hiroto Saigo
2024 C conf
A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents.
ICPRAM
Kotaro Ii, Hiroto Saigo, Yasuo Tabei
2024 C conf
Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace.
ICPRAM
Kendai Itakura, Dukka Bahadur, Hiroto Saigo
2023 J jnl
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model.
BMC Bioinform.
Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka B. KC
2022 J jnl
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.
BMC Bioinform.
Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo, K. C. Dukka B.
2021 J jnl
Sparse Nonnegative Interaction Models.
IEEE Access
Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo
2021 J jnl
Topic modeling for sequential documents based on hybrid inter-document topic dependency.
J. Intell. Inf. Syst.
Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki
2020 B conf
Automatically mining Relevant Variable Interactions Via Sparse Bayesian Learning.
ICPR
Ryoichiro Yafune, Daisuke Sakuma, Mirai Takayanagi, Yasuo Tabei, Noritaka Saito, Hiroto Saigo
2020 — conf
Context-Aware Latent Dirichlet Allocation for Topic Segmentation.
PAKDD (1)
Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki
2020 J jnl
DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.
BMC Bioinform.
Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo, Dukka B. KC
2018 A* conf
Entire Regularization Path for Sparse Nonnegative Interaction Model.
ICDM
Mirai Takayanagi, Yasuo Tabei, Hiroto Saigo
2018 J jnl
RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hamid D. Ismail, Hiroto Saigo, K. C. Dukka B.
2018 J jnl
Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui
2017 J jnl
CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.
BMC Bioinform.
Clarence White, Hamid D. Ismail, Hiroto Saigo, K. C. Dukka B.
2016 J jnl
KDSNP: A kernel-based approach to detecting high-order SNP interactions.
J. Bioinform. Comput. Biol.
Kento Kodama, Hiroto Saigo
2016 A* conf
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices.
KDD
Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi
2016 J jnl
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices.
CoRR
Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi
2015 J jnl
Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) Models.
J. Chem. Inf. Model.
Zheng Shao, Yuya Hirayama, Yoshihiro Yamanishi, Hiroto Saigo
2013 J jnl
Fast Iterative Mining Using Sparsity-Inducing Loss Functions.
IEICE Trans. Inf. Syst.
Hiroto Saigo, Hisashi Kashima, Koji Tsuda
2012 — conf
Protein Clustering on a Grassmann Manifold.
PRIB
Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui
2011 J jnl
Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions.
J. Chem. Inf. Model.
Yoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, Véronique Stoven
2011 — ch.
Matrix Decomposition-based Dimensionality Reduction on Graph Data.
Graph Data Management
Hiroto Saigo, Koji Tsuda
2010 — ch.
Graph Classification.
Managing and Mining Graph Data
Koji Tsuda, Hiroto Saigo
2010 J jnl
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.
BMC Bioinform.
Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda
2009 A conf
A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection.
SDM
Silvia Chiappa, Hiroto Saigo, Koji Tsuda
2009 J jnl
gBoost: a mathematical programming approach to graph classification and regression.
Mach. Learn.
Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda
2008 A* conf
Iterative Subgraph Mining for Principal Component Analysis.
ICDM
Hiroto Saigo, Koji Tsuda
2008 A* conf
Partial least squares regression for graph mining.
KDD
Hiroto Saigo, Nicole Krämer, Koji Tsuda
2008 B conf
Regression with interval output values.
ICPR
Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo
2007 J jnl
Mining complex genotypic features for predicting HIV-1 drug resistance.
Bioinform.
Hiroto Saigo, Takeaki Uno, Koji Tsuda
2006 J jnl
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants.
IEEE ACM Trans. Comput. Biol. Bioinform.
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
2006 J jnl
Optimizing amino acid substitution matrices with a local alignment kernel.
BMC Bioinform.
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
2005 J jnl
Graph kernels for chemical informatics.
Neural Networks
Liva Ralaivola, Sanjay Joshua Swamidass, Hiroto Saigo, Pierre Baldi
2004 J jnl
Protein homology detection using string alignment kernels.
Bioinform.
Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu