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
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。
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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
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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
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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)
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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
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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)
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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
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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)
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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
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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)
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10.
Another use of SMOTE for interpretable data collaboration analysis
Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya
EXPERT SYSTEMS WITH APPLICATIONS 228: (2023)
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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)
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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
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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
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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)
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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
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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
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17.
LSEC: Large-scale spectral ensemble clustering
Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
INTELLIGENT DATA ANALYSIS 27: 59 (2023) Semantic Scholar
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18.
Complex moment-based methods for differential eigenvalue problems
Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi
NUMERICAL ALGORITHMS 92: 693 (2023) Semantic Scholar
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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
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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
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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)
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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)
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41.
Time-efficient tensor reordering procedures for HOTRG in distributed parallel environment
Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya
Tensor Network States: Algorithms and Applications (TNSAA) 2018年12月3日
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42.
A complex moment-based method and its improvement for computing partial singular value decomposition
Imakura, Akira; Sakurai, Tetsuya
The 37th JSST Annual International Conference on Simulation Technology (JSST2018) 2018年9月18日
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43.
Verified computing for partial eigenvalues using a contour integral-type eigensolver
Takayasu, Akitoshi; Imakura, Akira; Morikuni, Keiichi
SCAN2018 2018年9月10日
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44.
Verified computing for partial eigenvalues using a contour integral-type eigensolver
Takayasu, Akitoshi; Imakura, Akira; Morikuni, Keiichi
SCAN2018 2018年9月10日
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45.
一般化エルミート固有値問題の周回積分型精度保証付き部分固有値計算
今倉, 暁; 保國, 惠一; 高安, 亮紀
日本応用数理学会2018年度年会 2018年9月3日
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46.
スペクトラル特徴量スケーリングの多クラス分類問題への拡張
松田, 萌望; 保國, 惠一; 今倉, 暁; 櫻井, 鉄也
日本応用数理学会2018年度年会, 名古屋 2018年9月3日
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47.
一般化エルミート固有値問題の周回積分型精度保証付き部分固有値計算
今倉, 暁; 保國, 惠一; 高安, 亮紀
日本応用数理学会2018年度年会 2018年9月3日
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48.
複素モーメント型教師あり次元削減法
今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
日本応用数理学会 2018年度 年会 2018年9月3日
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49.
Symmetry-preserving of the Hankel-type Sakurai-Sugiura eigenvalue solver for large sparse Hermitian definite generalized eigenvalue problem
Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18) 2018年6月27日
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50.
多クラス分類問題に対するスペクトラル特徴量スケーリング
松田 萌望; Matsuda, M; 保國; 惠一; Morikuni K; 今倉 暁; Imakura, A; 櫻井 鉄也; akurai, T
第47回数値解析シンポジウム (NAS2018) 2018年6月6日
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51.
Verified Partial Eigenvalue Computation for Generalized Hermitian Eigenproblems Using Contour Integrals
今倉 暁; Imakura, A; 保國 惠一; ikuni, K; 高安 亮紀; Takayasu, A
第47回数値解析シンポジウム (NAS2018) 2018年6月6日
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52.
Verified partial eigenvalue computation for generalized Hermitian eigenproblems using contour integrals
今倉暁; 保國 惠一; Takayasu, Akitoshi
第47回数値解析シンポジウム 2018年6月6日
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53.
Contour integral methods for partial eigenproblems of linear rectangular matrix pencils
Imakura, A; Morikuni, K; Takayasu, A
SIAM Conference on Applied Linear Algebra (SIAM-ALA18) 2018年5月4日
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54.
Verified computation of partial eigenvalues using contour integrals
Imakura, K; Morikuni, K; Takayasu, A
SIAM Conference on Applied Linear Algebra (SIAM-ALA18) 2018年5月4日
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55.
Contour integral-based verified computing for partial eigenvalues
Takayasu, A; Imakura, A; Morikuni, Keiichi
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18), Tokyo, Japan 2018年3月7日
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56.
Recent Advances on the Algorithm-based Fault Tolerance of the Sakurai-Sugiura Eigensolver
Futamura, Yasunori; Imakura, AKira; Sakurai, Tetsuya
18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18) 2018年3月7日
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57.
Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product
Imakura, Akira; Yamamoto, Yusaku
International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA) 2018年3月5日
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58.
Minimal residual-like condition with collinearity for shifted Krylov subspace methods
Imakura, Akira
International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA) 2018年3月5日
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59.
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
Alvermann, Andreas; Basermann, Achim; Bungartz; Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Koecher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Roehrig-Zoellner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Brambila; Danilo Simoes; Thies, Jonas; Wellein, Gerhard
International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA) 2018年3月5日
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60.
An improvement of the nonlinear semi-NMF based method by considering bias vectors and regularization for deep neural networks
Arai, Ryosuke; Imakura, Akira; Sakurai, Tetsuya
2018 10th International Conference on Machine Learning and Computing (ICMLC 2018) 2018年2月26日
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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
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