Akira Imakura - RankMe

86 papers A* 4A 1B 3C 5Journal 64Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimation of conditional average treatment effects on distributed confidential data. Expert Syst. Appl. Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2026	J	`jnl`	New solutions based on the generalized eigenvalue problem for the data collaboration analysis. Inf. Sci. Yuta Kawakami, Yuichi Takano, Akira Imakura
2025	J	`jnl`	A new type of federated clustering: A non-model-sharing approach. CoRR Yuji Kawamata, Kaoru Kamijo, Masateru Kihira, Akihiro Toyoda, Tomoru Nakayama, Akira Imakura, Tetsuya Sakurai, Yukihiko Okada
2025	J	`jnl`	Block Cross-Interactive Residual Smoothing for Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2025	B	`conf`	DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication While Preserving Privacy. IEEE Big Data Tomoru Nakayama, Yuji Kawamata, Akira Imakura, Yukihiko Okada
2024	J	`jnl`	Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2024	J	`jnl`	Collaborative causal inference on distributed data. Expert Syst. Appl. Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2024	J	`jnl`	Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2024	J	`jnl`	FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. CoRR Akira Imakura, Tetsuya Sakurai
2024	J	`jnl`	New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis. CoRR Yuta Kawakami, Yuichi Takano, Akira Imakura
2024	J	`jnl`	Toward the Application of Differential Privacy to Data Collaboration. IEEE Access Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
2023	—	`conf`	A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. ICADL (1) Rina Kagawa, Akira Imakura, Masaki Matsubara
2023	J	`jnl`	Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
2023	J	`jnl`	Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2023	J	`jnl`	DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai
2023	J	`jnl`	DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Non-readily identifiable data collaboration analysis for multiple datasets including personal information. Inf. Fusion Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2023	J	`jnl`	Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. J. Comput. Appl. Math. Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2022	C	`conf`	A study of the privacy perspective on principal component analysis via a realistic attack model. CIS Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2022	J	`jnl`	Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
2022	J	`jnl`	Collaborative causal inference on distributed data. CoRR Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Complex moment-based methods for differential eigenvalue problems. CoRR Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2022	J	`jnl`	Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2022	J	`jnl`	Divide-and-conquer based large-scale spectral clustering. Neurocomputing Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	A*	`conf`	Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. CVPR Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota
2022	J	`jnl`	Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
2022	J	`jnl`	Non-readily identifiable data collaboration analysis for multiple datasets including personal information. CoRR Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2022	J	`jnl`	Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	—	`conf`	mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. DASC/PiCom/CBDCom/CyberSciTech 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
2022	J	`jnl`	mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. CoRR 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
2021	J	`jnl`	Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai
2021	C	`conf`	Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2021	J	`jnl`	Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2021	J	`jnl`	Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
2021	J	`jnl`	Divide-and-conquer based Large-Scale Spectral Clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	C	`conf`	Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
2021	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	B	`conf`	Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. CoRR Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2020	C	`conf`	Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka
2020	J	`jnl`	An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2020	C	`conf`	Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	—	`ch.`	ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 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
2020	J	`jnl`	Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously. J. Comput. Appl. Math. Xian-Ming Gu, Ting-Zhu Huang, Bruno Carpentieri, Akira Imakura, Ke Zhang, Lei Du
2020	A*	`conf`	Ensemble Learning for Spectral Clustering. ICDM Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
2020	B	`conf`	Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Interpretable collaborative data analysis on distributed data. CoRR Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
2020	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	J	`jnl`	Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2019	—	`conf`	Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. ROBIO Naoya Chiba, Mingyu Li, Akira Imakura, Koichi Hashimoto
2019	A*	`conf`	Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
2019	J	`jnl`	Data collaboration analysis for distributed datasets. CoRR Akira Imakura, Tetsuya Sakurai
2019	A*	`conf`	Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2019	—	`conf`	Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition. ROBIO Naoya Chiba, Akira Imakura, Koichi Hashimoto
2019	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2019	J	`jnl`	Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. Lei Du, Akira Imakura, Tetsuya Sakurai
2018	J	`jnl`	Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. Akira Imakura, Tetsuya Sakurai
2018	J	`jnl`	Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. Haruka Yamada, Akira Imakura, Tetsuya Sakurai
2018	—	`conf`	Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai
2018	J	`jnl`	Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura
2018	J	`jnl`	Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2017	J	`jnl`	Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms Akira Imakura, Tetsuya Sakurai
2017	A	`conf`	Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono
2017	J	`jnl`	Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. JSIAM Lett. Hongjia Chen, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai, Françoise Tisseur
2017	—	`conf`	Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) Akira Imakura, Yasunori Futamura, Tetsuya Sakurai
2016	—	`conf`	Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
2016	J	`jnl`	Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
2016	J	`jnl`	Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. Numer. Algorithms Akira Imakura, Lei Du, Tetsuya Sakurai
2016	J	`jnl`	Recovering from accuracy deterioration in the contour integral-based eigensolver. JSIAM Lett. Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai
2015	J	`jnl`	Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2015	J	`jnl`	Improving the convergence behaviour of BiCGSTAB by applying JSIAM Lett. Lijiong Su, Akira Imakura, Hiroto Tadano, Tetsuya Sakurai
2014	J	`jnl`	A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. Appl. Math. Lett. Akira Imakura, Lei Du, Tetsuya Sakurai
2014	J	`jnl`	Development of the Block BiCGSTAB($\ell$) method for solving linear systems with multiple right hand sides. JSIAM Lett. Shusaku Saito, Hiroto Tadano, Akira Imakura
2014	J	`jnl`	Improvement of the accuracy of the approximate solution of the Block BiCR method. JSIAM Lett. Hiroto Tadano, Youichi Ishikawa, Akira Imakura
2013	J	`jnl`	A Weighted Block GMRES method for solving linear systems with multiple right-hand sides. JSIAM Lett. Akira Imakura, Lei Du, Hiroto Tadano
2012	J	`jnl`	A parameter optimization technique for a weighted Jacobi-type preconditioner. JSIAM Lett. Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
2012	—	`conf`	An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. MCSoC Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
2009	J	`jnl`	An implicit wavelet sparse approximate inverse preconditioner using block finger pattern. Numer. Linear Algebra Appl. Akira Imakura, Tomohiro Sogabe, Shao-Liang Zhang