Catfish: A Monte Carlo simulator for black holes at the LHC. - Marco Cavaglià; R. Godang; L. Cremaldi; D. Summers (Comput. Phys. Commun., 2007)

TensorFlow enabled genetic programming. - Kai Staats; Edward R. Pantridge; Marco Cavaglià; Iurii Milovanov; Arun Aniyan (GECCO (Companion), 2017)

Improving the background of gravitational-wave searches for core collapse supernovae: a machine learning approach. - Marco Cavaglià; Sergio Gaudio; Travis Hansen; Kai Staats; Marek Szczepanczyk; Michele Zanolin (Mach. Learn. Sci. Technol., 2020)

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)

NNETFIX: an artificial neural network-based denoising engine for gravitational-wave signals. - Kentaro Mogushi; Ryan Quitzow-James; Marco Cavaglià; Sumeet Kulkarni; Fergus Hayes (Mach. Learn. Sci. Technol., 2021)

Data-driven classification and explainable-AI in the field of lung imaging. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Iqra Iqbal Khan; Atif Imran; Syed Baqir Hussain Shah; Atif Mehmood; Shahzad Ahmad Qureshi; Mudassar Raza; Angelo di Terlizzi; Marco Cavaglià; Marco Agostino Deriu (Frontiers Big Data, 2024)