2 papers
cs.LG2023
SparCA: Sparse Compressed Agglomeration for Feature Extraction and Dimensionality Reduction
Leland Barnard, Farwa Ali, Hugo Botha +1
The most effective dimensionality reduction procedures produce interpretable features from the raw input space while also providing good performance for downstream supervised learn…
eess.AS2022
Risk of re-identification for shared clinical speech recordings
Daniela A. Wiepert, Bradley A. Malin, Joseph R. Duffy +4
Large, curated datasets are required to leverage speech-based tools in healthcare. These are costly to produce, resulting in increased interest in data sharing. As speech can poten…