Maurizio Parton

According to our database, Maurizio Parton authored at least 19 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Increasing biases can be more efficient than increasing weights.

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks.

Maurizio Parton, Andrea Fois, Michelangelo Vegliò, Carlo Metta, Marco Gregnanin

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

GloNets: Globally Connected Neural Networks.

Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Improving Performance in Neural Networks by Dendrites-Activated Connections.

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

CoRR, 2023

Signature-Based Community Detection for Time Series.

Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

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

Maurizio Parton, Marco Angelone, Carlo Metta, Stefania D'Ovidio, Roberta Massarelli, Luca Moscardelli, Gianluca Amato

CoRR, 2022

Leela Zero Score: a Study of a Score-based AlphaGo Zero.

Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta

CoRR, 2022

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

Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Curious Explorer: a provable exploration strategy in Policy Learning.

Marco Miani, Maurizio Parton, Marco Romito

CoRR, 2021

2020

Universal Algebra in UniMath.

Gianluca Amato, Marco Maggesi, Maurizio Parton, Cosimo Perini Brogi

CoRR, 2020

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks.

Luca Pasqualini, Maurizio Parton

Algorithms, 2020

SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 9×9 Go.

Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Pseudo Random Number Generation: a Reinforcement Learning approach.

Luca Pasqualini, Maurizio Parton

Proceedings of the 11th International Conference on Ambient Systems, 2020

2019

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

Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton

CoRR, 2019

SAI a Sensible Artificial Intelligence that plays Go.

Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

The Role of Spin(9) in Octonionic Geometry.

Maurizio Parton, Paolo Piccinni

Axioms, 2018

2012

Discovering invariants via simple component analysis.

Gianluca Amato, Maurizio Parton, Francesca Scozzari

J. Symb. Comput., 2012

2010

Deriving Numerical Abstract Domains via Principal Component Analysis.

Gianluca Amato, Maurizio Parton, Francesca Scozzari

Proceedings of the Static Analysis - 17th International Symposium, 2010

A Tool Which Mines Partial Execution Traces to Improve Static Analysis.

Gianluca Amato, Maurizio Parton, Francesca Scozzari

Proceedings of the Runtime Verification - First International Conference, 2010