An implicit wavelet sparse approximate inverse preconditioner using block finger pattern. - Akira Imakura; Tomohiro Sogabe; Shao-Liang Zhang (Numer. Linear Algebra Appl., 2009)

An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. - Akira Imakura; Tetsuya Sakurai; Kohsuke Sumiyoshi; Hideo Matsufuru (MCSoC, 2012)

A parameter optimization technique for a weighted Jacobi-type preconditioner. - Akira Imakura; Tetsuya Sakurai; Kohsuke Sumiyoshi; Hideo Matsufuru (JSIAM Lett., 2012)

A Weighted Block GMRES method for solving linear systems with multiple right-hand sides. - Akira Imakura; Lei Du; Hiroto Tadano (JSIAM Lett., 2013)

A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. - Akira Imakura; Lei Du; Tetsuya Sakurai (Appl. Math. Lett., 2014)

Development of the Block BiCGSTAB($ ell$) method for solving linear systems with multiple right hand sides. - Shusaku Saito; Hiroto Tadano; Akira Imakura (JSIAM Lett., 2014)

Improvement of the accuracy of the approximate solution of the Block BiCR method. - Hiroto Tadano; Youichi Ishikawa; Akira Imakura (JSIAM Lett., 2014)

Filter analysis for the stochastic estimation of eigenvalue counts. - Yasuyuki Maeda; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2015)

Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization. - Lijiong Su; Akira Imakura; Hiroto Tadano; Tetsuya Sakurai (JSIAM Lett., 2015)

Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. - Tetsuya Sakurai; Akira Imakura; Yuto Inoue; Yasunori Futamura (ICONIP (4), 2016)

Recovering from accuracy deterioration in the contour integral-based eigensolver. - Tetsuya Hasegawa; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2016)

Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. - Akira Imakura; Lei Du; Tetsuya Sakurai (Numer. Algorithms, 2016)

Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. - Akira Imakura; Yasunori Futamura; Tetsuya Sakurai (PPAM (1), 2017)

Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. - Shigeru Iwase; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai; Tomoya Ono (SC, 2017)

Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. - Hongjia Chen 001; Yasuyuki Maeda; Akira Imakura; Tetsuya Sakurai; Françoise Tisseur (JSIAM Lett., 2017)

Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. - Akira Imakura; Tetsuya Sakurai (Numer. Algorithms, 2017)

Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. - Haruka Yamada; Akira Imakura; Toshiyuki Imamura; Tetsuya Sakurai (IPDPS Workshops, 2018)

Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. - Haruka Yamada; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2018)

Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. - Takahiro Yano; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2018)

Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. - Akira Imakura; Yuto Inoue; Tetsuya Sakurai; Yasunori Futamura (Neural Process. Lett., 2018)

Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. - Akira Imakura; Tetsuya Sakurai (Parallel Comput., 2018)

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. - Akira Imakura; Momo Matsuda; Xiucai Ye; Tetsuya Sakurai (AAAI, 2019)

Distributed Collaborative Feature Selection Based on Intermediate Representation. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (IJCAI, 2019)

Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition. - Naoya Chiba; Akira Imakura; Koichi Hashimoto (ROBIO, 2019)

Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. - Naoya Chiba; Mingyu Li; Akira Imakura; Koichi Hashimoto (ROBIO, 2019)

Simultaneous band reduction of two symmetric matrices. - Lei Du; Akira Imakura; Tetsuya Sakurai (Comput. Math. Appl., 2019)

Data collaboration analysis for distributed datasets. - Akira Imakura; Tetsuya Sakurai (CoRR, 2019)

Ensemble Learning for Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (ICDM, 2020)

Hubness-based Sampling Method for Nyström Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (IJCNN, 2020)

Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. - Suhyeon Baek; Akira Imakura; Tetsuya Sakurai; Ichiro Kataoka (PKAW, 2020)

Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (PKAW, 2020)

Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. - Anna Bogdanova; Akie Nakai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (CoRR, 2020)

Multiclass spectral feature scaling method for dimensionality reduction. - Momo Matsuda; Keiichi Morikuni; Akira Imakura; Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2020)

An oversampling framework for imbalanced classification based on Laplacian eigenmaps. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2020)

Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously. - Xian-Ming Gu; Ting-Zhu Huang; Bruno Carpentieri; Akira Imakura; Ke Zhang 003; Lei Du (J. Comput. Appl. Math., 2020)

Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (J. Comput. Appl. Math., 2020)

ESSEX: Equipping Sparse Solvers For Exascale. - Christie L. Alappat; Andreas Alvermann; Achim Basermann; Holger Fehske; Yasunori Futamura; Martin Galgon; Georg Hager; Sarah Huber; Akira Imakura; Masatoshi Kawai; Moritz Kreutzer; Bruno Lang; et al. (Software for Exascale Computing, 2020)

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (ACML, 2021)

Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. - Takahiro Yano; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (HPC Asia, 2021)

Spectral Clustering Joint Deep Embedding Learning by Autoencoder. - Xiucai Ye; Chunhao Wang; Akira Imakura; Tetsuya Sakurai (IJCNN, 2021)

Accuracy and Privacy Evaluations of Collaborative Data Analysis. - Akira Imakura; Anna Bogdanova; Takaya Yamazoe; Kazumasa Omote; Tetsuya Sakurai (CoRR, 2021)

Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. - Akira Imakura; Tetsuya Sakurai (CoRR, 2021)

Interpretable collaborative data analysis on distributed data. - Akira Imakura; Hiroaki Inaba; Yukihiko Okada; Tetsuya Sakurai (Expert Syst. Appl., 2021)

Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. - Yuta Takahashi; Hanten Chang; Akie Nakai; Rina Kagawa; Hiroyasu Ando; Akira Imakura; Yukihiko Okada; Hideo Tsurushima; Kenji Suzuki 002; Tetsuya Sakurai (SN Comput. Sci., 2021)

A study of the privacy perspective on principal component analysis via a realistic attack model. - Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai (CIS, 2022)

Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. - Ryuki Yamamoto; Hidekata Hontani; Akira Imakura; Tatsuya Yokota (CVPR, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Yohei Kuga; Ryo Nakamura; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Shin Matsushima; Yohei Kuga; et al. (CoRR, 2022)

Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (CoRR, 2022)

Divide-and-conquer based large-scale spectral clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2022)

Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. - Meng Huang 003; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (J. Biomed. Informatics, 2022)

Flexible subspace iteration with moments for an effective contour integration-based eigensolver. - Sarah Huber; Yasunori Futamura; Martin Galgon; Akira Imakura; Bruno Lang; Tetsuya Sakurai (Numer. Linear Algebra Appl., 2022)

Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. - Kensuke Aihara; Akira Imakura; Keiichi Morikuni (SIAM J. Matrix Anal. Appl., 2022)

A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. - Rina Kagawa; Akira Imakura; Masaki Matsubara (ICADL (1), 2023)

Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. - Akihiro Mizoguchi; Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (CoRR, 2023)

LSEC: Large-scale spectral ensemble clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Intell. Data Anal., 2023)

Non-readily identifiable data collaboration analysis for multiple datasets including personal information. - Akira Imakura; Tetsuya Sakurai; Yukihiko Okada; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (Inf. Fusion, 2023)

DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. - Akira Imakura; Ryoya Tsunoda; Rina Kagawa; Kunihiro Yamagata; Tetsuya Sakurai (J. Biomed. Informatics, 2023)

Complex moment-based methods for differential eigenvalue problems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (Numer. Algorithms, 2023)

Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (J. Comput. Appl. Math., 2023)

DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (Hum. Centric Intell. Syst., 2023)

Another use of SMOTE for interpretable data collaboration analysis. - Akira Imakura; Masateru Kihira; Yukihiko Okada; Tetsuya Sakurai (Expert Syst. Appl., 2023)

Complex moment-based eigensolver coupled with two Krylov subspaces. - Akira Imakura; Tetsuya Sakurai (J. Comput. Appl. Math., 2023)

Toward the Application of Differential Privacy to Data Collaboration. - Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai (IEEE Access, 2024)

Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (CoRR, 2024)

New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis. - Yuta Kawakami; Yuichi Takano; Akira Imakura (CoRR, 2024)

FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. - Akira Imakura; Tetsuya Sakurai (CoRR, 2024)

Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides. - Kensuke Aihara; Akira Imakura; Keiichi Morikuni (CoRR, 2024)

Collaborative causal inference on distributed data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2024)

A new type of federated clustering: A non-model-sharing approach. - Yuji Kawamata; Kaoru Kamijo; Masateru Kihira; Akihiro Toyoda; Tomoru Nakayama; Akira Imakura; Tetsuya Sakurai; Yukihiko Okada (CoRR, 2025)

Estimation of conditional average treatment effects on distributed confidential data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2026)