Akira Imakura

University of Tsukuba — Japan

Computer Science · Physical Sciences

18h-index963citations134works0.72yr avg
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Research Topics

Matrix Theory and Algorithms(55), Electromagnetic Scattering and Analysis(34), Privacy-Preserving Technologies in Data(26), Advanced Optimization Algorithms Research(16), Face and Expression Recognition(14)

Publications134 total

Deflation approach for matrix function calculations based on double exponential-type numerical integral formula
Linear Algebra and its Applications·2026Open Access
Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment
Scientific Reports·2026Open Access
Block Cross-Interactive Residual Smoothing for Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides
SIAM Journal on Matrix Analysis and Applications·2025Open Access
New solutions based on the generalized eigenvalue problem for the data collaboration analysis
Information Sciences·2025Open Access
Estimation of conditional average treatment effects on distributed confidential data
Expert Systems with Applications·2025· 1 citedOpen Access
A new type of federated clustering: A non-model-sharing approach
arXiv (Cornell University)·2025Open Access
Estimating Covariate-balanced Survival Curve in Distributed Data Environment using Data Collaboration Quasi-Experiment
arXiv (Cornell University)·2025Open Access
Data collaboration for causal inference from limited medical testing and medication data
Scientific Reports·2025· 4 citedOpen Access
A New Type of Federated Clustering: A Non-Model-Sharing Approach
SSRN Electronic Journal·2025· 1 citedOpen Access
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration
arXiv (Cornell University)·2024Open Access
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis
arXiv (Cornell University)·2024· 1 citedOpen Access
Estimation of conditional average treatment effects on distributed confidential data
arXiv (Cornell University)·2024Open Access
Numerical Analysis for Data Relationship
2024Open Access
Toward the Application of Differential Privacy to Data Collaboration
IEEE Access·2024· 3 citedOpen Access
Collaborative causal inference on distributed data
Expert Systems with Applications·2023· 8 citedOpen Access
A privacy-preserving technique to identify the useful content of documents owned by multiple institutes: Supplemental File
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings
arXiv (Cornell University)·2023Open Access
Data collaboration analysis in predicting diabetes from a small amount of health checkup data
Scientific Reports·2023· 4 citedOpen Access
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning
Human-Centric Intelligent Systems·2023· 20 citedOpen Access
Another use of SMOTE for interpretable data collaboration analysis
Expert Systems with Applications·2023· 21 citedOpen Access
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Frequent Co-authors

Tetsuya Sakurai(35), Xiucai Ye(10), Yukihiko Okada(7), Yasunori Futamura(6), Hongmin Li(5), Lei Du(5), Kohsuke Sumiyoshi(3), Hideo Matsufuru(3), Rina Kagawa(3), Hiroki Nagakura(2), Wakana Iwakami(2), Shun Furusawa(2), Shoichi Yamada(2), Anna Bogdanova(2), Akie Nakai(2), Y. Inoue(2), Hongjia Chen(2), Tetsuya Sakurai(2), Hiroto Tadano(2), H. Okawa(1)