2 papers
cs.NE2026
Improving Evaluation of Recombination-based Cartesian Genetic Programming
Duy Long Tran, Anja Jankovic, Marie Anastacio +2
Cartesian Genetic Programming has traditionally been using mutation as its main and often sole genetic operator to drive evolutionary search. Despite advancements in recent years,…
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…