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08/01/2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings
Given the time and expense associated with bringing a drug to market, nu...
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12/06/2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Transparency of Machine Learning models used for decision support in var...
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08/31/2022
Non-readily identifiable data collaboration analysis for multiple datasets including personal information
Multi-source data fusion, in which multiple data sources are jointly ana...
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08/26/2022
Another Use of SMOTE for Interpretable Data Collaboration Analysis
Recently, data collaboration (DC) analysis has been developed for privac...
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08/16/2022
Collaborative causal inference on distributed data
The development of technologies for causal inference with the privacy pr...
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05/02/2022
Complex moment-based methods for differential eigenvalue problems
This paper considers computing partial eigenpairs of differential eigenv...
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03/27/2022
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
The growing amount of data and advances in data science have created a n...
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10/05/2021
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems
We propose a verified computation method for eigenvalues in a region and...
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09/28/2021
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets
This paper considers computing interior singular triplets corresponding ...
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06/18/2021
LSEC: Large-scale spectral ensemble clustering
Ensemble clustering is a fundamental problem in the machine learning fie...
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06/01/2021
Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
Global and block Krylov subspace methods are efficient iterative solvers...
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04/30/2021
Divide-and-conquer based Large-Scale Spectral Clustering
Spectral clustering is one of the most popular clustering methods. Howev...
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01/27/2021
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Distributed data analysis without revealing the individual data has rece...
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11/13/2020
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Dimensionality Reduction is a commonly used element in a machine learnin...
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11/09/2020
Interpretable collaborative data analysis on distributed data
This paper proposes an interpretable non-model sharing collaborative dat...
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10/20/2020
Flexible subspace iteration with moments for an effective contour integration-based eigensolver
Contour integration schemes are a valuable tool for the solution of diff...
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10/16/2019
Multiclass spectral feature scaling method for dimensionality reduction
Irregular features disrupt the desired classification. In this paper, we...
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02/20/2019
Data collaboration analysis for distributed datasets
In this paper, we propose a data collaboration analysis method for distr...
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05/16/2016