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. Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data. (13th January 2017) Authors: Powell, Jade; Torres-Forné, Alejandro; Lynch, Ryan; Trifirò, Daniele; Cuoco, Elena; Cavaglià, Marco; Heng, Ik Siong; Font, José A Journal: Classical and quantum gravity Issue: Volume 34:Number 3(2017:Feb.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Classification methods for noise transients in advanced gravitational-wave detectors. (9th October 2015) Authors: Powell, Jade; Trifirò, Daniele; Cuoco, Elena; Heng, Ik Siong; Cavaglià, Marco Journal: Classical and quantum gravity Issue: Volume 32:Number 21(2015:Nov.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. 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) ↗
5. 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) ↗
6. Erratum: Prospects for multimessenger detection of binary neutron star mergers in the fourth LIGO–Virgo–KAGRA observing run. Issue 3 (23rd June 2022) Authors: Patricelli, Barbara; Bernardini, Maria Grazia; Mapelli, Michela; D'Avanzo, Paolo; Santoliquido, Filippo; Cella, Giancarlo; Razzano, Massimiliano; Cuoco, Elena Journal: Monthly notices of the Royal Astronomical Society Issue: Volume 514:Issue 3(2022) Page Start: 3395 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Image-based deep learning for classification of noise transients in gravitational wave detectors. (5th April 2018) Authors: Razzano, Massimiliano; Cuoco, Elena Journal: Classical and quantum gravity Issue: Volume 35:Number 9(2018:May) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Prospects for multimessenger detection of binary neutron star mergers in the fourth LIGO–Virgo–KAGRA observing run. Issue 3 (28th April 2022) Authors: Patricelli, Barbara; Bernardini, Maria Grazia; Mapelli, Michela; D'Avanzo, Paolo; Santoliquido, Filippo; Cella, Giancarlo; Razzano, Massimiliano; Cuoco, Elena Journal: Monthly notices of the Royal Astronomical Society Issue: Volume 513:Issue 3(2022) Page Start: 4159 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗