2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai +3
Transparency of Machine Learning models used for decision support in various industries becomes essential for ensuring their ethical use. To that end, feature attribution methods s…
cs.LG2022★ 2 cited
Non-readily identifiable data collaboration analysis for multiple datasets including personal information
Akira Imakura, Tetsuya Sakurai, Yukihiko Okada +3
Multi-source data fusion, in which multiple data sources are jointly analyzed to obtain improved information, has considerable research attention. For the datasets of multiple medi…