Core-Collapse supernova gravitational-wave search and deep learning classification. - Alberto Iess; Elena Cuoco; Filip Morawski; Jade Powell (Mach. Learn. Sci. Technol., 2020)

Convolutional neural network classifier for the output of the time-domain $ mathcal{F}$-statistic all-sky search for continuous gravitational waves. - Filip Morawski; Michal Bejger; Pawel Ciecielag (Mach. Learn. Sci. Technol., 2020)

Deep learning searches for gravitational wave stochastic backgrounds. - Andrei Utina; Francesco Marangio; Filip Morawski; Alberto Iess; Tania Regimbau; Giuseppe Fiameni; Elena Cuoco (CBMI, 2021)

Enhancing gravitational-wave science with machine learning. - Elena Cuoco; Jade Powell; Marco Cavaglià; Kendall Ackley; Michal Bejger; Chayan Chatterjee; Michael Coughlin; Scott Coughlin; Paul Easter; Reed Essick; Hunter Gabbard; Timothy Gebhard; et al. (Mach. Learn. Sci. Technol., 2021)

Anomaly detection in gravitational waves data using convolutional autoencoders. - Filip Morawski; Michal Bejger; Elena Cuoco; Luigia Petre (Mach. Learn. Sci. Technol., 2021)

Computational challenges for multimodal astrophysics. - Elena Cuoco; Barbara Patricelli; Alberto Iess; Filip Morawski (Nat. Comput. Sci., 2022)

LSTM and CNN application for core-collapse supernova search in gravitational wave real data. - Alberto Iess; Elena Cuoco; Filip Morawski; Constantina Nicolaou; Ofer Lahav (CoRR, 2023)