Akira Imakura

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 71

Top Topics

Dimensionality Reduction

Eigenvalue Problems

Spectral Clustering

Negative Matrix Factorization

Top Venues

J. Comput. Appl. Math.

Numer. Algorithms

Publications

Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
Toward the Application of Differential Privacy to Data Collaboration. IEEE Access 12 (2024)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR (2024)
Yuta Kawakami, Yuichi Takano, Akira Imakura
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis. CoRR (2024)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Collaborative causal inference on distributed data. Expert Syst. Appl. 244 (2024)
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. 3 (3) (2023)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms 92 (1) (2023)
Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics 137 (2023)
Rina Kagawa, Akira Imakura, Masaki Matsubara
A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. ICADL (1) (2023)
Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. Inf. Fusion 98 (2023)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27 (1) (2023)
Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. 228 (2023)
Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR (2023)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. J. Comput. Appl. Math. 424 (2023)
Akira Imakura, Tetsuya Sakurai
Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. 432 (2023)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Collaborative causal inference on distributed data. CoRR (2022)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501 (2022)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Complex moment-based methods for differential eigenvalue problems. CoRR (2022)
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR (2022)
Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR (2022)
Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota
Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. CVPR (2022)
Kensuke Aihara, Akira Imakura, Keiichi Morikuni
Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. 43 (3) (2022)
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, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. CoRR (2022)
Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
A study of the privacy perspective on principal component analysis via a realistic attack model. CIS (2022)
Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics 128 (2022)
Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. CoRR (2022)
Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. 29 (6) (2022)
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, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. DASC/PiCom/CBDCom/CyberSciTech (2022)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. CoRR (2021)
Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. 2 (4) (2021)
Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai
Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR (2021)
Akira Imakura, Tetsuya Sakurai
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR (2021)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR (2021)
Kensuke Aihara, Akira Imakura, Keiichi Morikuni
Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR (2021)
Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. CoRR (2021)
Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. 177 (2021)
Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN (2020)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. 369 (2020)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW (2020)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399 (2020)
Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka
Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW (2020)
Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
Interpretable collaborative data analysis on distributed data. CoRR (2020)
Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR (2020)
Xian-Ming Gu, Ting-Zhu Huang, Bruno Carpentieri, Akira Imakura, Ke Zhang, Lei Du
Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously. J. Comput. Appl. Math. 375 (2020)
Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR (2020)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Ensemble Learning for Spectral Clustering. ICDM (2020)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24 (6) (2020)
Naoya Chiba, Akira Imakura, Koichi Hashimoto
Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition. ROBIO (2019)
Naoya Chiba, Mingyu Li, Akira Imakura, Koichi Hashimoto
Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. ROBIO (2019)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. CoRR (2019)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI (2019)
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI (2019)
Akira Imakura, Tetsuya Sakurai
Data collaboration analysis for distributed datasets. CoRR (2019)
Lei Du, Akira Imakura, Tetsuya Sakurai
Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. 77 (8) (2019)
Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai
Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops (2018)
Akira Imakura, Tetsuya Sakurai
Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. 74 (2018)
Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. 10 (2018)
Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. 47 (3) (2018)
Haruka Yamada, Akira Imakura, Tetsuya Sakurai
Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. 10 (2018)
Akira Imakura, Yasunori Futamura, Tetsuya Sakurai
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) (2017)
Akira Imakura, Tetsuya Sakurai
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms 75 (2) (2017)
Hongjia Chen, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai, Françoise Tisseur
Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. JSIAM Lett. 9 (2017)
Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC (2017)
Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR (2016)
Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai
Recovering from accuracy deterioration in the contour integral-based eigensolver. JSIAM Lett. 8 (2016)
Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) (2016)
Akira Imakura, Lei Du, Tetsuya Sakurai
Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. Numer. Algorithms 71 (1) (2016)
Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. 7 (2015)
Lijiong Su, Akira Imakura, Hiroto Tadano, Tetsuya Sakurai
-norm minimization. JSIAM Lett. 7 (2015)
Akira Imakura, Lei Du, Tetsuya Sakurai
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. Appl. Math. Lett. 32 (2014)
Shusaku Saito, Hiroto Tadano, Akira Imakura
Development of the Block BiCGSTAB($\ell$) method for solving linear systems with multiple right hand sides. JSIAM Lett. 6 (2014)
Hiroto Tadano, Youichi Ishikawa, Akira Imakura
Improvement of the accuracy of the approximate solution of the Block BiCR method. JSIAM Lett. 6 (2014)
Akira Imakura, Lei Du, Hiroto Tadano
A Weighted Block GMRES method for solving linear systems with multiple right-hand sides. JSIAM Lett. 5 (2013)
Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
A parameter optimization technique for a weighted Jacobi-type preconditioner. JSIAM Lett. 4 (2012)
Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. MCSoC (2012)
Akira Imakura, Tomohiro Sogabe, S.-L. Zhang
An implicit wavelet sparse approximate inverse preconditioner using block finger pattern. Numer. Linear Algebra Appl. 16 (11-12) (2009)