Massimiliano Razzano

According to our database, Massimiliano Razzano authored at least 4 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NICE: A Web-Based Tool for the Characterization of Transient Noise in Gravitational Wave Detectors.

Nunziato Sorrentino, Massimiliano Razzano, Francesco Di Renzo, Francesco Fidecaro, Gary Hemming

Softw., 2024

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, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams

Mach. Learn. Sci. Technol., 2021

2018

Image-based deep learning for classification of noise transients in gravitational wave detectors.

Massimiliano Razzano, Elena Cuoco

CoRR, 2018

Wavelet-Based Classification of Transient Signals for Gravitational Wave Detectors.

Elena Cuoco, Massimiliano Razzano, Andrei Utina

Proceedings of the 26th European Signal Processing Conference, 2018