Maurizio Parton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
10
Active years
2010–2026
Best venue rank
A
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Eva Optimizer: Escaping Low-Curvature Traps in Deep Learning. | Antonio Di Cecco, Carlo Metta, Andrea Papini, Marco Fantozzi, Silvia Giulia Galfr, Michelangelo Vegli, Luigi Amedeo Bianchi, Maurizio Parton, Francesco Morandin |
| 2024 | DIS | A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. | Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfr, Daniele Pavesi, Maurizio Parton, Francesco Morandin |
| 2024 | DIS | SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics. | Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfr, Francesco Morandin, Maurizio Parton |
| 2024 | DIS | A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. | Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton |
| 2024 | IDA | GloNets: Globally Connected Neural Networks. | Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton |
| 2024 | IDA | Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks. | Maurizio Parton, Andrea Fois, Michelangelo Vegli, Carlo Metta, Marco Gregnanin |
| 2024 | WACV | Increasing biases can be more efficient than increasing weights. | Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfr, Alessandro Marchetti, Michelangelo Vegli, Maurizio Parton, Francesco Morandin |
| 2022 | ICMLA | 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 |
| 2020 | ANT | Pseudo Random Number Generation: a Reinforcement Learning approach. | Luca Pasqualini, Maurizio Parton |
| 2020 | ECAI | SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 99 Go. | Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton |
| 2019 | IJCNN | SAI a Sensible Artificial Intelligence that plays Go. | Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto |
| 2010 | RV | A Tool Which Mines Partial Execution Traces to Improve Static Analysis. | Gianluca Amato, Maurizio Parton, Francesca Scozzari |
| 2010 | SAS | Deriving Numerical Abstract Domains via Principal Component Analysis. | Gianluca Amato, Maurizio Parton, Francesca Scozzari |