7 citations · 11 across the 5 of their papers we have counts for
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cs.LG2026
Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation
Wadie Skaf, Felix Kern, Aryamaan Basu Roy +3
Time series augmentation is critical for training robust deep learning models, particularly in domains where labelled data is scarce and expensive to obtain. However, existing augm…
cs.LG2022★ 7 cited
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
Wadie Skaf, Tomáš Horváth
Anomalies in time-series provide insights of critical scenarios across a range of industries, from banking and aerospace to information technology, security, and medicine. However,…