87 citations · 253 across the 6 of their papers we have counts for
6 papers
Machine Learning approach for Credit Scoring
A. R. Provenzano, D. Trifirò, A. Datteo +7
In this work we build a stack of machine learning models aimed at composing a state-of-the-art credit rating and default prediction system, obtaining excellent out-of-sample perfor…
An Artificial Intelligence approach to Shadow Rating
Angela Rita Provenzano, Daniele Trifirò, Nicola Jean +4
We analyse the effectiveness of modern deep learning techniques in predicting credit ratings over a universe of thousands of global corporate entities obligations when compared to…
Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data
Jade Powell, Alejandro Torres-Forné, Ryan Lynch +5
The data taken by the advanced LIGO and Virgo gravitational-wave detectors contains short duration noise transients that limit the significance of astrophysical detections and redu…
Distinguishing black-hole spin-orbit resonances by their gravitational wave signatures. II: Full parameter estimation
Daniele Trifirò, Richard O'Shaughnessy, Davide Gerosa +4
Gravitational waves from coalescing binary black holes encode the evolution of their spins prior to merger. In the post-Newtonian regime and on the precession timescale, this evolu…
Precessional instability in binary black holes with aligned spins
Davide Gerosa, Michael Kesden, Richard O'Shaughnessy +4
Binary black holes on quasicircular orbits with spins aligned with their orbital angular momentum have been testbeds for analytic and numerical relativity for decades, not least be…
Classification methods for noise transients in advanced gravitational-wave detectors
Jade Powell, Daniele Trifiro, Elena Cuoco +2
Noise of non-astrophysical origin will contaminate science data taken by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) and Advanced Virgo gravitational-w…