1. Anomaly detection in gravitational waves data using convolutional autoencoders. Issue 4 (19th July 2021) Authors: Morawski, Filip; Bejger, Michał; Cuoco, Elena; Petre, Luigia Journal: Machine learning: science and technology Issue: Volume 2:Issue 4(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Convolutional neural network classifier for the output of the time-domain F-statistic all-sky search for continuous gravitational waves. Issue 2 (22nd June 2020) Authors: Morawski, Filip; Bejger, Michał; Ciecieląg, Paweł Journal: Machine learning: science and technology Issue: Volume 1:Issue 2(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Core-Collapse supernova gravitational-wave search and deep learning classification. Issue 2 (27th May 2020) Authors: Iess, Alberto; Cuoco, Elena; Morawski, Filip; Powell, Jade Journal: Machine learning: science and technology Issue: Volume 1:Issue 2(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Enhancing gravitational-wave science with machine learning. Issue 1 (1st December 2020) Authors: Cuoco, Elena; Powell, Jade; Cavaglià, Marco; Ackley, Kendall; Bejger, Michał; Chatterjee, Chayan; Coughlin, Michael; Coughlin, Scott; Easter, Paul; Essick, Reed; Gabbard, Hunter; Gebhard, Timothy; Ghosh, Shaon; Haegel, Leïla; Iess, Alberto; Keitel, David; Márka, Zsuzsa; Márka, Szabolcs; Morawski,... Journal: Machine learning: science and technology Issue: Volume 2:Issue 1(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗