Search Results for author: Carlo Metta

Found 8 papers, 4 papers with code

GloNets: Globally Connected Neural Networks

1 code implementation27 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.

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

no code implementations18 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.

Increasing biases can be more efficient than increasing weights

no code implementations3 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.

Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co

1 code implementation14 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.

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?

no code implementations31 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.

Game of Go reinforcement-learning +1

Explainable Deep Image Classifiers for Skin Lesion Diagnosis

no code implementations22 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.

Decision Making Explainable artificial intelligence +2

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)

1 code implementation26 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.

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