5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…
cs.LG2020
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations
Thach Le Nguyen, Severin Gsponer, Iulia Ilie +2
The time series classification literature has expanded rapidly over the last decade, with many new classification approaches published each year. Prior research has mostly focused…