Akira Imakura
Orcid: 0000-0003-4994-2499
According to our database1,
Akira Imakura
authored at least 65 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach.
CoRR, 2024
2023
J. Comput. Appl. Math., November, 2023
Expert Syst. Appl., October, 2023
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning.
Hum. Centric Intell. Syst., September, 2023
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems.
J. Comput. Appl. Math., May, 2023
Numer. Algorithms, January, 2023
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties.
J. Biomed. Informatics, January, 2023
Non-readily identifiable data collaboration analysis for multiple datasets including personal information.
Inf. Fusion, 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings.
CoRR, 2023
A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes.
Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023
2022
Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides.
SIAM J. Matrix Anal. Appl., September, 2022
Flexible subspace iteration with moments for an effective contour integration-based eigensolver.
Numer. Linear Algebra Appl., 2022
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma.
J. Biomed. Informatics, 2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration.
CoRR, 2022
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.
CoRR, 2022
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
2021
SN Comput. Sci., 2021
Expert Syst. Appl., 2021
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 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
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems.
J. Comput. Appl. Math., 2020
Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously.
J. Comput. Appl. Math., 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
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
2019
Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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
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
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
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
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
2015
Improving the convergence behaviour of BiCGSTAB by applying <i>D</i>-norm minimization.
JSIAM Lett., 2015
JSIAM Lett., 2015
2014
JSIAM Lett., 2014
Development of the Block BiCGSTAB($\ell$) method for solving linear systems with multiple right hand sides.
JSIAM Lett., 2014
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems.
Appl. Math. Lett., 2014
2013
A Weighted Block GMRES method for solving linear systems with multiple right-hand sides.
JSIAM Lett., 2013
2012
JSIAM Lett., 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
2009
An implicit wavelet sparse approximate inverse preconditioner using block finger pattern.
Numer. Linear Algebra Appl., 2009