ホーム > 今倉 暁/ Imakura, Akira

今倉 暁

Imakura, Akira

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate Professor

http://www.cs.tsukuba.ac.jp/~imakura/index.html

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Data collaboration for causal inference from limited medical testing and medication data NAKAYAMA, Tomoru; KAWAMATA, Yuji; TOYODA, Akihiro; IMAKURA, Akira (+5 著者) OKADA, Yukihiko
      Scientific Reports 15: (2025)
  2. 2. Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi
      arXiv arXiv:2412.19488 [math.NA]: 1 (2024) Semantic Scholar
  3. 3. Collaborative causal inference on distributed data Imakura, Akira
      Expert Systems with Applications 244: 123024 (2024) Semantic Scholar
  4. 4. Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
      arXiv (2024)
  5. 5. Toward the Application of Differential Privacy to Data Collaboration Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai
      IEEE Access 12: 63292 (2024) Semantic Scholar
  6. 6. A privacy-preserving technique to identify the useful content of documents owned by multiple institutes Kagawa, Rina; Imakura, Akira; Matsubara, Masaki
      Lecture Notes in Computer Science (2023)
  7. 7. Another use of SMOTE for interpretable data collaboration analysis Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya
      EXPERT SYSTEMS WITH APPLICATIONS 228: (2023)
  8. 8. Non-readily identifiable data collaboration analysis for multiple datasets including personal information Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko; Fujii, Tomoya (+1 著者) Abe, Hiroyuki
      INFORMATION FUSION 98: (2023)
  9. 9. DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning Bogdanova, Anna; Imakura, Akira; Sakurai, Tetsuya
      Human-Centric Intelligent Systems 197 (2023) Semantic Scholar
  10. 10. Data collaboration analysis in predicting diabetes from a small amount of health checkup data Go, Uchitachimoto; Noriyoshi, Sukegawa; Masayuki, Kojima; 香川, 璃奈 (+3 著者) Tetsuya, Sakurai
      SCIENTIFIC REPORTS 13: (2023) Semantic Scholar
  11. 11. FL と DC 解析における通信コストと精度の比較: 筑波大学附属病院とつくば市役所の統合データ解析を想定して 豊田明広; 内立元豪; 小島真之; 香川璃奈 (+3 著者) 岡田幸彦
      第37回人工知能学会全国大会 (2023)
  12. 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: 1 (2023) Semantic Scholar
  13. 13. Complex moment-based eigensolver coupled with two Krylov subspaces Imakura, Akira; Sakurai, Tetsuya
      JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 432: 115283 (2023) Semantic Scholar
  14. 14. DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties Imakura, Akira; Tsunoda, Ryoya; Kagawa, Rina; Yamagata, KunihiroSakurai, Tetsuya
      JOURNAL OF BIOMEDICAL INFORMATICS 137: (2023) Semantic Scholar
  15. 15. LSEC: Large-scale spectral ensemble clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
      INTELLIGENT DATA ANALYSIS 27: 59 (2023) Semantic Scholar
  16. 16. Complex moment-based methods for differential eigenvalue problems Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi
      NUMERICAL ALGORITHMS 92: 693 (2023) Semantic Scholar
  17. 17. A Study of the Privacy Perspective on Principal Component Analysis via a Realistic Attack Model Hiromi, Yamashiro; Kazumasa, Omote; Akira, Imakura; Tetsuya, Sakurai
      Proceedings of the International Conference on Computational Intelligence and Security (CIS 2022) (2022) Semantic Scholar
  18. 18. Image Data Recoverability Against Data Collaboration and Its Countermeasure Takaya Yamazoe; Hiromi Yamashiro; Kazumasa Omote; Akira ImakuraTetsuya Sakurai
      Communications in Computer and Information Science 1680: 3 (2022)
  19. 19. Divide-and-conquer based Large-Scale Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
      NEUROCOMPUTING 501: 664 (2022) Semantic Scholar
  20. 20. Application of data collaboration analysis to distributed data with misaligned features Mizoguchi, Akihiro; Imakura, Akira; sakurai, tetsuya
      Informatics in Medicine Unlocked 32: 101013 (2022)
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  1. 1. NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori (担当:分担執筆, 範囲:Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks)
    SPRINGER INT PUBLISHING AG 2016年 (ISBN: 9783319466811)
  1. 1. 後退安定な直交化を用いたブロックLanczos解法の残差ギャップについて 相原, 研輔; 今倉, 暁; 保國, 惠一
    日本応用数理学会「行列・固有値問題の解法とその応用」研究部会第34回単独研究会, オンライン 2022年12月6日
  2. 2. 線形非正方行列束の固有値問題に対する射影法 保國, 惠一; 今倉, 暁
    数値解析が拓く次世代情報社会～エッジから富岳まで～ 2022年10月12日 招待有り
  3. 3. Complex moment-based method with nonlinear transformation for computing partial singular triplets Imakura, Akira; Sakurai, Tetsuya
    Numerical Methods for Large Scale Problems 2022年6月6日
  4. 4. Sequential Active Gene Selection in Renal Cell Carcinoma Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    6th International Conference on Medical and Health Informatics 2022年5月13日
  5. 5. Application of Data Collaboration Analysis to Distributed Metabolomics Data with Misaligned Features Mizoguchi, Akihiro; Imakura, Akira; Sakurai, Tetsuya
    2022 6th International Conference on Medical and Health Informatics (ICMHI 2022) 2022年5月13日
  6. 6. Fast algorithm for low-rank tensor completion in delay embedded space Yamamoto, Ryuki; Yokota, Tatsuya; Imakura, Akira; Hontani, Hidekata
    13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA2021) 2021年12月14日
  7. 7. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
    13th Asian Conference on Machine Learning 2021年11月17日
  8. 8. Eigensolvers using complex moments for operators Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi
    Numerical Methods and Scientific Computing (NMSC21) 2021年11月8日
  9. 9. 無限次元固有値問題に対する複素モーメント型解法 今倉, 暁; 保國, 惠一; 高安, 亮紀
    2021年並列／分散／協調処理に関するサマー・ワークショップ (SWoPP2021), オンライン 2021年7月19日
  10. 10. Spectral Clustering Joint Deep Embedding Learning by Autoencoder Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya
    International Joint Conference on Neural Networks (IJCNN 2021) 2021年7月18日
  11. 11. Complex Moment-Based Methods for Differential Eigenvalue Problems Imakura, A; Morikuni, K; Takayasu, A
    SIAM Conference on Applied Linear Algebra (LA21) 2021年5月17日
  12. 12. On the Residual Gap of Block Lanczos-Type Methods and Its Remedy by Cross-Interactive Residual Smoothing Aihara, K; Imakura, A; Morikuni, K
    SIAM Conference on Applied Linear Algebra (LA21) 2021年5月17日
  13. 13. Verifying eigenvalues of generalized Hermitian eigenproblems using contour integrals Imakura, A; Morikuni, K; Takayasu, A
    Second Workshop on Numerical Algebra, Algorithms and Analysis, online 2021年3月16日
  14. 14. Sylvester方程式に対するglobal Krylov部分空間法のresidual gap評価とその改善 相原, 研輔; 今倉, 暁; 保國, 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン 2021年3月4日
  15. 15. 複数右辺ベクトルを持つ線形方程式に対するblock generalized CGS法 今倉, 暁; 相原, 研輔; 保國, 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン 2021年3月4日
  16. 16. Accuracy and Privacy Evaluations of Collaborative Data Analysis Imakura, Akira; Bogdanova, Anna; Yamazoe, Takaya; Omote, Kazumasa; Sakurai, Tetsuya
    The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) 2021年2月8日
  17. 17. Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
    The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
  18. 18. 漸化式に着目したblock Krylov部分空間法のresidual gap評価と残差スムージング 相原, 研輔; 今倉, 暁; 保國, 惠一
    日本応用数理学会「行列・固有値問題の解法とその応用」研究部会 第30回研究会, オンライン 2020年12月7日
  19. 19. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
  20. 20. Hubness-Based Sampling Method For Nystrom Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    2020 International Joint Conference on Neural Networks (IJCNN 2020) 2020年7月19日
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