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
-
1.
New solutions based on the generalized eigenvalue problem for the data collaboration analysis
Kawakami, Yuta; Takano, Yuichi; Imakura, Akira
INFORMATION SCIENCES 723: (2026) Semantic Scholar
-
2.
Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment
TOYODA, Akihiro; KAWAMATA, Yuji; NAKAYAMA, Tomoru; IMAKURA, Akira (+1 著者) OKADA, Yukihiko
Sci Rep 16: (2026) Semantic Scholar
-
3.
Estimation of conditional average treatment effects on distributed confidential data
Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; IMAKURA, AkiraSakurai, Tetsuya
Expert Systems with Applications 296: 129066 (2026)
-
4.
Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides
Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi
SIAM Journal on Matrix Analysis and Applications 46: 2501 (2025) Semantic Scholar
-
5.
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)
-
6.
Collaborative causal inference on distributed data
Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
EXPERT SYSTEMS WITH APPLICATIONS 244: 123024 (2024) Semantic Scholar
-
7.
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach
Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
arXiv (2024)
-
8.
Toward the Application of Differential Privacy to Data Collaboration
Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai
IEEE Access 12: 63292 (2024) Semantic Scholar
-
9.
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)
-
10.
Another use of SMOTE for interpretable data collaboration analysis
Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya
EXPERT SYSTEMS WITH APPLICATIONS 228: (2023)
-
11.
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)
-
12.
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
-
13.
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
-
14.
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)
-
15.
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
-
16.
Complex moment-based eigensolver coupled with two Krylov subspaces
Imakura, Akira; Sakurai, Tetsuya
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 432: 115283 (2023) Semantic Scholar
-
17.
LSEC: Large-scale spectral ensemble clustering
Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
INTELLIGENT DATA ANALYSIS 27: 59 (2023) Semantic Scholar
-
18.
Complex moment-based methods for differential eigenvalue problems
Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi
NUMERICAL ALGORITHMS 92: 693 (2023) Semantic Scholar
-
19.
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
-
20.
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
-
1.
行列計算アルゴリズム 基本から機械学習への応用まで
今倉, 暁
講談社 2025年12月 (ISBN: 9784065424889)
-
2.
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)
-
21.
Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
Yoda, Hiroyuki; Akira, Imakura; Momo, Matsuda; Ye, Xiucai; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日
-
22.
Distributed Feature Selection by Collaborative Data Analysis
Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日 招待有り
-
23.
組織内に分散された共有不能データのデータコラボレーション解析による活用実験
稲葉, 弘明; 今倉, 暁; 栗山大輔; 鎮目, 進一; 岡田幸彦; 櫻井, 鉄也
サービス学会 第8回国内大会 2020年3月12日
-
24.
Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data
Nakai, Akie; Takahashi, Yuta; Imakura, Akira; Okada, Yukihiko; Sakurai, Tetsuya
サービス学会 第8回国内大会 2020年3月12日
-
25.
Fast ADMM l1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition
Chiba, Naoya; Imakura, Akira; Hashimoto, Koichi
The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019) 2019年12月6日
-
26.
Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation
Chiba, Naoya; Li, Mingyu; Imakura, Akira; Hashimoto, Koichi
The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019) 2019年12月6日
-
27.
Efficient Implementations of the Modified Gram-Schmidt Orthogonalization in a Non-Standard Inner Product
Yamamoto, Yusaku; Imakura, Akira
The 13th workshop in the series of the "Parallel Numerics" (ParNum 2019) 2019年10月28日
-
28.
A complex moment-based dimensionality reduction for data analysis
Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
2019 Mini-Workshop on Computational Science (MWCS2019) 2019年8月18日 招待有り
-
29.
Distributed Collaborative Feature Selection Based on Intermediate Representation
Ye, Xiucai; Li, Hongmin; Akira, Imakura; Sakurai, Tetsuya
28th International Joint Conference on Artificial Intelligence (IJCAI-19) 2019年8月10日
-
30.
A complex moment-based spectral method for detecting anomalous structures in large graphs
Sakurai, Tetsuya; Funamura, Yasunori; Ye, Xiucai; Imakura, Akira
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
-
31.
Nonlinear semi-NMF based method for deep neural network computations and its improvements
Imakura, Akira; Sakurai, Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
-
32.
A novel dimensionality reduction method using a complex momnet-based subspace
Imakura, Akira; Sakurai, Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
-
33.
最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出
与田裕之; 今倉暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
第48回数値解析シンポジウム(NAS2019) 2019年6月10日
-
34.
Verified partial eigenvalue computation for generalized Hermitian eigenproblems using contour integrals
今倉暁; 保國惠一; 高安, 亮紀
第47回数値解析シンポジウム, 福井 2019年6月7日
-
35.
Nonlinear semi-NMF based method for deep neural network computations
Imakura,Akira
International Symposium on "Digital Science Now" 2019年6月7日
-
36.
Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver
Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience 2019年3月20日
-
37.
一般化エルミート固有値問題の部分固有値計算における周回積分に基づく精度保証法の改良
今倉, 暁; 保國, 惠一; 高安, 亮紀
日本応用数理学会 第15回研究部会連合発表会, つくば 2019年3月4日
-
38.
複素モーメント型部分空間を用いた教師あり次元削減法の提案
今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
日本応用数理学会 第15回 研究部会連合発表会 2019年3月4日
-
39.
A contour intergral-based stochastic estimator for eigenvalue counts of generalized eigenproblems
Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya
SIAM Conference on Computational Science and Engineering (CSE19) 2019年2月25日
-
40.
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence 2019年1月28日
-
1. 特願2018-243376: 分散データ統合装置、分散データ統合方法及び分散データ統合プログラム
今倉, 暁; 櫻井, 鉄也 -
2. 特願2019-104396: 特徴量選択支援装置、特徴量選択支援プログラム及び特徴量選択支援方法
今倉, 暁; 叶, 秀彩; 櫻井, 鉄也 -
3. 特願20-127477: 分散データ処理装置、端末、分散データ処理プログラム、端末制御プロ グラム、分散データ処理方法及び端末制御方法
今倉暁; 櫻井, 鉄也; 稲葉弘明; 岡田幸彦 -
4. 2022-010035: 端末、データ処理装置、端末制御プログラム、データ処理プログラム、端末制御方法及びデータ処理方法
今倉暁; 櫻井鉄也; 岡田, 幸彦; 藤井智也; 坂元哲平 -
5. 特願2020-563129: 分散データ統合装置、分散データ統合解析装置、分散データ統合方法、及びプログラム
今倉, 暁; sakurai, tetsuya
488 total views
この研究者の他の情報源
キーワードが似ている研究者
- 柳浦 猛 機械学習, Machine Learning
- 伊藤 寛祥 機械学習, Machine Learning
- 保國 惠一 固有値問題, Linear system
- 西尾 真由子 機械学習, Machine learning
- YING BEIWEN 機械学習, Machine learning


ORCID