1 code implementation • 27 Nov 2023 • Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton
Deep learning architectures suffer from depth-related performance degradation, limiting the effective depth of neural networks.
no code implementations • 18 Jan 2023 • Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
We propose a use case study, for skin lesion diagnosis, illustrating how it is possible to provide the practitioner with explanations on the decisions of a state of the art deep neural network classifier trained to characterize skin lesions from examples.
no code implementations • 3 Jan 2023 • Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin
We introduce a novel computational unit for neural networks that features multiple biases, challenging the traditional perceptron structure.
1 code implementation • 14 Oct 2022 • Maurizio Parton, Marco Angelone, Carlo Metta, Stefania D'Ovidio, Roberta Massarelli, Luca Moscardelli, Gianluca Amato
This paper aims to investigate the possibility of using artificial intelligence (AI) to resolve the legal issues raised by the Covid-19 emergency about the fate of continuing execution contracts, or those with deferred or periodic execution, as well as, more generally, to deal with exceptional events and contingencies.
no code implementations • 31 Jan 2022 • Luca Pasqualini, Gianluca Amato, Marco Fantozzi, Rosa Gini, Alessandro Marchetti, Carlo Metta, Francesco Morandin, Maurizio Parton
In the last years, the DeepMind algorithm AlphaZero has become the state of the art to efficiently tackle perfect information two-player zero-sum games with a win/lose outcome.
no code implementations • 22 Nov 2021 • Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
A key issue in critical contexts such as medical diagnosis is the interpretability of the deep learning models adopted in decision-making systems.
1 code implementation • 26 May 2019 • Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton
We develop a new model that can be applied to any perfect information two-player zero-sum game to target a high score, and thus a perfect play.
1 code implementation • 11 Sep 2018 • Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto
We propose a multiple-komi modification of the AlphaGo Zero/Leela Zero paradigm.