Tetsuya Sakurai
Orcid: 0000-0002-5789-7547
According to our database1,
Tetsuya Sakurai
authored at least 141 papers
between 1991 and 2024.
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Bibliography
2024
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery.
Comput. Biol. Medicine, January, 2024
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach.
CoRR, 2024
2023
J. Cheminformatics, December, 2023
J. Comput. Appl. Math., November, 2023
Expert Syst. Appl., October, 2023
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
Bioinform., October, 2023
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning.
Hum. Centric Intell. Syst., September, 2023
Comput. Biol. Medicine, September, 2023
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties.
J. Biomed. Informatics, January, 2023
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
Briefings Bioinform., January, 2023
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains.
Mach. Learn., 2023
Non-readily identifiable data collaboration analysis for multiple datasets including personal information.
Inf. Fusion, 2023
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data.
Frontiers Comput. Sci., 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.
CoRR, 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings.
CoRR, 2023
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Flexible subspace iteration with moments for an effective contour integration-based eigensolver.
Numer. Linear Algebra Appl., 2022
The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method.
Numer. Linear Algebra Appl., 2022
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma.
J. Biomed. Informatics, 2022
Comput. Phys. Commun., 2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration.
CoRR, 2022
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent.
CoRR, 2022
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
Bioinform., 2022
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank.
Bioinform., 2022
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism.
Briefings Bioinform., 2022
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
Briefings Bioinform., 2022
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information.
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022
Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
A study of the privacy perspective on principal component analysis via a realistic attack model.
Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022
Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
SN Comput. Sci., 2021
Expert Syst. Appl., 2021
CoRR, 2021
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets.
CoRR, 2021
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism.
Briefings Bioinform., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace.
Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021
Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning.
Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
An oversampling framework for imbalanced classification based on Laplacian eigenmaps.
Neurocomputing, 2020
Intell. Data Anal., 2020
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations.
CoRR, 2020
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer.
IEEE Access, 2020
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020
Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
2019
Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem.
Numer. Linear Algebra Appl., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure.
Parallel Comput., 2018
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks.
Neural Process. Lett., 2018
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning.
J. Univers. Comput. Sci., 2018
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems.
JSIAM Lett., 2018
Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition.
JSIAM Lett., 2018
Intell. Data Anal., 2018
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module.
CoRR, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data.
J. Comput. Sci. Eng., December, 2017
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems.
Numer. Algorithms, 2017
Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems.
JSIAM Lett., 2017
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method.
Proceedings of the International Conference for High Performance Computing, 2017
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems.
Proceedings of the Parallel Processing and Applied Mathematics, 2017
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017
Proceedings of the 1st International Conference on Medical and Health Informatics, 2017
2016
Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems.
Numer. Algorithms, 2016
JSIAM Lett., 2016
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Improving the convergence behaviour of BiCGSTAB by applying <i>D</i>-norm minimization.
JSIAM Lett., 2015
JSIAM Lett., 2015
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Block conjugate gradient type methods for the approximation of bilinear form C<sup>H</sup>A<sup>-1</sup>B.
Comput. Math. Appl., 2014
Correlations between predicted protein disorder and post-translational modifications in plants.
Bioinform., 2014
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems.
Appl. Math. Lett., 2014
2013
Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method.
Parallel Comput., 2013
JSIAM Lett., 2013
Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems.
Proceedings of the Eighth International Conference on P2P, 2013
2012
JSIAM Lett., 2012
JSIAM Lett., 2012
Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations.
Proceedings of the High Performance Computing for Computational Science, 2012
An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods.
Proceedings of the IEEE 6th International Symposium on Embedded Multicore/Manycore SoCs, 2012
2011
JSIAM Lett., 2011
Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane.
JSIAM Lett., 2011
2010
A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations.
JSIAM Lett., 2010
A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD.
JSIAM Lett., 2010
Parallel Fock matrix construction with distributed shared memory model for the FMO-MO method.
J. Comput. Chem., 2010
A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method.
J. Comput. Appl. Math., 2010
Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD.
Comput. Phys. Commun., 2010
Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD.
Comput. Phys. Commun., 2010
LegumeTFDB: an integrative database of <i>Glycine max</i>, <i>Lotus japonicus</i> and <i>Medicago truncatula</i> transcription factors.
Bioinform., 2010
sORF finder: a program package to identify small open reading frames with high coding potential.
Bioinform., 2010
2009
Block BiCGGR: a new Block Krylov subspace method for computing high accuracy solutions.
JSIAM Lett., 2009
Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments.
JSIAM Lett., 2009
JSIAM Lett., 2009
A method for finding zeros of polynomial equations using a contour integral based eigensolver.
Proceedings of the Symbolic Numeric Computation, 2009
2008
Silico Biol., 2008
A parallel method for large sparse generalized eigenvalue problems using a GridRPC system.
Future Gener. Comput. Syst., 2008
A Secure Data Repository Integrating Huge Volumes of Digital Contents as a Semantic Web.
Proceedings of the Workshop on Semantic Web Applications and Tools for Life Sciences ( SWAT4LS ) Edinburgh, 2008
2007
Construction of a metadata space for a specific field of knowledge from an index of a document.
Syst. Comput. Jpn., 2007
Proceedings of the Large-Scale Scientific Computing, 6th International Conference, 2007
2006
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006
Proceedings of the Advances in Grid and Pervasive Computing, 2006
An Implementation Method of an Integrated Associative Search for Mathematical Expressions.
Proceedings of the IASTED International Conference on Databases and Applications, 2006
2005
RARGE: a large-scale database of RIKEN <i>Arabidopsis</i> resources ranging from transcriptome to phenome.
Nucleic Acids Res., 2005
A Hybrid Parallel Method for Large Sparse Eigenvalue Problems on a Grid Computing Environment Using Ninf-G/MPI.
Proceedings of the Large-Scale Scientific Computing, 5th International Conference, 2005
2004
A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment.
Proceedings of the Applied Parallel Computing, 2004
2003
Error Analysis of a Derivative-Free Algorithm for Computing Zeros of Holomorphic Functions.
Computing, 2003
2000
1996
Proceedings of the 1996 International Symposium on Symbolic and Algebraic Computation, 1996
1992
Numer. Algorithms, 1992
1991