今倉 暁(イマクラ アキラ)

研究者情報全体を表示

論文
  • A Study of the Privacy Perspective on Principal Component Analysis via a Realistic Attack Model
    Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya ...
    Proceedings of the International Conference on Computational Intelligence and Security (CIS 2022), 2022-12
  • Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems
    Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS/424, 2023-05
  • DC-COX: data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties
    Imakura Akira; Tsunoda Ryoya; Kagawa Rina; Yamagata Kuni...
    Journal of Biomedical Informatics, 2022-12
  • Complex moment-based methods for differential eigenvalue problems
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    NUMERICAL ALGORITHMS/92(1:SI)/pp.693-721, 2023-01
  • Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space
    Yamamoto Ryuki; Hontani Hidekata; Imakura Akira; Yokota ...
    2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022-06
  • Flexible subspace iteration with moments for an effective contour integration-based eigensolver
    Huber Sarah; Futamura Yasunori; Galgon Martin; Imakura A...
    NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS/29(6), 2022-04
  • Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
    Aihara Kensuke; Imakura Akira; Morikuni Keiichi
    SIAM Journal on Matrix Analysis and Applications/43(3)/pp.1308-1330, 2022-06
  • Divide-and-conquer based Large-Scale Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    NEUROCOMPUTING/501/pp.664-678, 2022-08
  • Complex moment-based methods for differential eigenvalue problems
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    arXiv/arXiv:2205.00971 [math.NA]/pp.1-25, 2022-05
  • Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma
    Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Journal of Biomedical Informatics/128, 2022-04
  • LSEC: Large-scale spectral ensemble clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    INTELLIGENT DATA ANALYSIS/27(1)/pp.59-77, 2023-01
  • Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
    Imakura Akira; Ye Xiucai; Sakurai Tetsuya
    Proceeding of Asian Conference on Machine Learning (ACML)/pp.932-947, 2021-11
  • Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    arXiv/arXiv:2110.01822 [math.NA]/pp.1-18, 2021-10
  • Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    Bogdanova Anna; Nakai Akie; Okada Yukihiko; Imakura Akir...
    Proceedings of IJCAI 2020 International Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021-01
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    Proceedings of AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021-02
  • 行列計算を用いた機械学習法
    今倉 暁
    オペレーションズ・リサーチ/65(6)/pp.310-316, 2020
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira
    In: Proceedings of The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021
  • An improvement of multigrid methods using multiple grids on each layer for parallel computing
    Imakura Akira
    Journal of Mathematical Research with Applications/41(1)/pp.87-98, 2021
  • Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    Bogdanova A.; Nakai A.; Okada Yukihiko; Imakura A.; Sakur...
    Proceedings of FL-IJCAI 2020/pp.1-7, 2021-01
  • Ensemble Learning for Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11
  • Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
    Yano Takahiro; Futamura Yasunori; Akira Imakura; Sakurai ...
    The International Conference on High Performance Computing in Asia-Pacific Region (PCAsia 2021)/pp.83-89, 2021-01
  • Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
    Baek Suhyeon; Imakura Akira; Sakurai Tetsuya; Kataoka Ic...
    Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.1-13, 2021-01
  • Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.14-29, 2021-01
  • Interpretable collaborative data analysis on distributed data
    Imakura Akira; Inaba Hiroaki; Okada Yukihiko; Sakurai Te...
    Expert Systems with Applications/177/p.114891, 2021-09
  • 筑波大学における全学必修 のデータサイエンス教育
    和田耕一; 佐久間淳; 平田 祥人; 福地一斗; 青砥隆仁; 五十嵐康彦; 今倉暁; Vasilache Simona Mi...
    オペレーションズ・リサーチ/65(9)/pp.573-578, 2020-11
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