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2020 – today
- 2024
[j37]Hiromi Yamashiro
, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai:
Toward the Application of Differential Privacy to Data Collaboration. IEEE Access 12: 63292-63301 (2024)- [j36]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Collaborative causal inference on distributed data. Expert Syst. Appl. 244: 123024 (2024) - [i22]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR abs/2402.02672 (2024) - [i21]Yuta Kawakami, Yuichi Takano, Akira Imakura:
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis. CoRR abs/2404.14164 (2024) - [i20]Akira Imakura, Tetsuya Sakurai:
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. CoRR abs/2409.18356 (2024) - 2023
- [j35]Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai:
Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. 228: 120385 (2023) - [j34]Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. 3(3): 197-210 (2023) - [j33]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27(1): 59-77 (2023) - [j32]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: 101826 (2023) - [j31]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: 104264 (2023) - [j30]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: 114994 (2023) - [j29]Akira Imakura, Tetsuya Sakurai:
Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. 432: 115283 (2023) - [j28]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms 92(1): 693-721 (2023) - [c20]Rina Kagawa, Akira Imakura, Masaki Matsubara:
A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. ICADL (1) 2023: 218-227 - [i19]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 abs/2308.00280 (2023) - 2022
- [j27]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501: 664-678 (2022) - [j26]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: 104049 (2022) - [j25]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) - [j24]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): 1308-1330 (2022) - [c19]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: 376-380 - [c18]Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota:
Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. CVPR 2022: 2048-2056 - [c17]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: 1-7 - [i18]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 abs/2203.14188 (2022) - [i17]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Complex moment-based methods for differential eigenvalue problems. CoRR abs/2205.00971 (2022) - [i16]Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Collaborative causal inference on distributed data. CoRR abs/2208.07898 (2022) - [i15]Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai:
Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR abs/2208.12458 (2022) - [i14]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 abs/2208.14611 (2022) - [i13]Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR abs/2212.03373 (2022) - 2021
- [j23]Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. 177: 114891 (2021) - [j22]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): 239 (2021) - [c16]Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML 2021: 932-947 - [c15]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia 2021: 83-89 - [c14]Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai:
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN 2021: 1-7 - [i12]Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai:
Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR abs/2101.11144 (2021) - [i11]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR abs/2104.15042 (2021) - [i10]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 abs/2106.00284 (2021) - [i9]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. CoRR abs/2106.09852 (2021) - [i8]Akira Imakura, Tetsuya Sakurai:
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR abs/2109.13655 (2021) - [i7]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 abs/2110.01822 (2021) - 2020
- [j21]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24(6): 1273-1287 (2020) - [j20]Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399: 107-116 (2020) - [j19]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. 369 (2020) - [j18]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: 112788 (2020) - [c13]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Ensemble Learning for Spectral Clustering. ICDM 2020: 1094-1099 - [c12]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN 2020: 1-8 - [c11]Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka:
Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW 2020: 1-13 - [c10]Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW 2020: 14-29 - [p1]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, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies, Gerhard Wellein:
ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 2020: 143-187 - [i6]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 abs/2010.10162 (2020) - [i5]Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. CoRR abs/2011.04437 (2020) - [i4]Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR abs/2011.06803 (2020)
2010 – 2019
- 2019
- [j17]Lei Du, Akira Imakura, Tetsuya Sakurai:
Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. 77(8): 2207-2220 (2019) - [c9]Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI 2019: 3910-3918 - [c8]Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI 2019: 4142-4149 - [c7]Naoya Chiba, Mingyu Li, Akira Imakura, Koichi Hashimoto:
Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. ROBIO 2019: 7-13 - [c6]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: 14-21 - [i3]Akira Imakura, Tetsuya Sakurai:
Data collaboration analysis for distributed datasets. CoRR abs/1902.07535 (2019) - [i2]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. CoRR abs/1910.07174 (2019) - 2018
- [j16]Haruka Yamada, Akira Imakura, Tetsuya Sakurai:
Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. 10: 61-64 (2018) - [j15]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: 77-80 (2018) - [j14]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): 815-827 (2018) - [j13]Akira Imakura, Tetsuya Sakurai:
Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. 74: 34-48 (2018) - [c5]Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai:
Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops 2018: 957-966 - 2017
- [j12]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: 17-20 (2017) - [j11]Akira Imakura, Tetsuya Sakurai:
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms 75(2): 413-433 (2017) - [c4]Akira Imakura, Yasunori Futamura, Tetsuya Sakurai:
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) 2017: 600-611 - [c3]Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono:
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC 2017: 40 - 2016
- [j10]Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai:
Recovering from accuracy deterioration in the contour integral-based eigensolver. JSIAM Lett. 8: 1-4 (2016) - [j9]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): 103-120 (2016) - [c2]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) 2016: 354-362 - [i1]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR abs/1605.04639 (2016) - 2015
- [j8]Lijiong Su, Akira Imakura, Hiroto Tadano, Tetsuya Sakurai:
Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization. JSIAM Lett. 7: 37-40 (2015) - [j7]Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. 7: 53-56 (2015) - 2014
- [j6]Akira Imakura, Lei Du, Tetsuya Sakurai:
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. Appl. Math. Lett. 32: 22-27 (2014) - [j5]Hiroto Tadano, Youichi Ishikawa, Akira Imakura:
Improvement of the accuracy of the approximate solution of the Block BiCR method. JSIAM Lett. 6: 61-64 (2014) - [j4]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: 65-68 (2014) - 2013
- [j3]Akira Imakura, Lei Du, Hiroto Tadano:
A Weighted Block GMRES method for solving linear systems with multiple right-hand sides. JSIAM Lett. 5: 65-68 (2013) - 2012
- [j2]Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru:
A parameter optimization technique for a weighted Jacobi-type preconditioner. JSIAM Lett. 4: 41-44 (2012) - [c1]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: 183-190
2000 – 2009
- 2009
- [j1]Akira Imakura, Tomohiro Sogabe, Shao-Liang Zhang:
An implicit wavelet sparse approximate inverse preconditioner using block finger pattern. Numer. Linear Algebra Appl. 16(11-12): 915-928 (2009)
Coauthor Index
[j37] [j36] [i22] [i20] [j35] [j34] [j33] [j32] [j31] [j29] [i19] [j27] [j26] [j25] [c19] [i16] [i15] [i14] [i13] [j23] [j22] [c16] [c15] [c14] [i12] [i11] [i9] [i8] [j21] [j20] [c13] [c12] [c11] [c10] [p1] [i6] [i5] [i4] [j17] [c9] [c8] [i3] [i2] [j16] [j15] [j14] [j13] [c5] [j12] [j11] [c4] [c3] [j10] [j9] [c2] [i1] [j8] [j7] [j6] [j2] [c1]
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