Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector. - Leonardo Fabbroni; Marina Vannucci; Elena Cuoco; Giovanni Losurdo; Massimo Mazzoni; Ruggero Stanga (IEEE Trans. Instrum. Meas., 2005)

Length Sensing and Control in the Virgo Gravitational Wave Interferometer. - Fausto Acernese; Paola Amico; M. Al-Shourbagy; Sofiane Aoudia; Saverio Avino; Danilo Babusci; G. Ballardin; R. Barillé; Fabrizio Barone; Lisa Barsotti; Matteo Barsuglia; F. Beauville; et al. (IEEE Trans. Instrum. Meas., 2006)

Wavelet-Based Classification of Transient Signals for Gravitational Wave Detectors. - Elena Cuoco; Massimiliano Razzano; Andrei Utina (EUSIPCO, 2018)

Image-based deep learning for classification of noise transients in gravitational wave detectors. - Massimiliano Razzano; Elena Cuoco (CoRR, 2018)

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

Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule. - Nikola Lopac; Jonatan Lerga; Elena Cuoco (Sensors, 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)

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. - Marlin B. Schäfer; Ondrej Zelenka; Alexander H. Nitz; He Wang 018; Shichao Wu; Zong-Kuan Guo; Zhoujian Cao; Zhixiang Ren; Paraskevi Nousi; Nikolaos Stergioulas; Panagiotis Iosif; Alexandra E. Koloniari; et al. (CoRR, 2022)

Editorial: Efficient AI in particle physics and astrophysics. - Javier M. Duarte; Mia Liu; Jennifer Ngadiuba; Elena Cuoco; Jesse Thaler (Frontiers Artif. Intell., 2022)

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)

Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. - Sascha Caron; Andreas Ipp; Gert Aarts; Gábor Bíró; Daniele Bonacorsi; Elena Cuoco; Caterina Doglioni; Tommaso Dorigo; Julián García Pardiñas; Stefano Giagu; Tobias Golling; Lukas Heinrich; et al. (CoRR, 2025)