A Tool Which Mines Partial Execution Traces to Improve Static Analysis. - Gianluca Amato; Maurizio Parton; Francesca Scozzari (RV, 2010)

Deriving Numerical Abstract Domains via Principal Component Analysis. - Gianluca Amato; Maurizio Parton; Francesca Scozzari (SAS, 2010)

Discovering invariants via simple component analysis. - Gianluca Amato; Maurizio Parton; Francesca Scozzari (J. Symb. Comput., 2012)

The Role of Spin(9) in Octonionic Geometry. - Maurizio Parton; Paolo Piccinni (Axioms, 2018)

SAI a Sensible Artificial Intelligence that plays Go. - Francesco Morandin; Gianluca Amato; Rosa Gini; Carlo Metta; Maurizio Parton; Gian-Carlo Pascutto (IJCNN, 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)

Pseudo Random Number Generation: a Reinforcement Learning approach. - Luca Pasqualini; Maurizio Parton (ANT/EDI40, 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 (ECAI, 2020)

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. - Luca Pasqualini; Maurizio Parton (Algorithms, 2020)

Universal Algebra in UniMath. - Gianluca Amato; Marco Maggesi; Maurizio Parton; Cosimo Perini Brogi (CoRR, 2020)

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 (ICMLA, 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)

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)

Signature-Based Community Detection for Time Series. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (COMPLEX NETWORKS (2), 2023)

Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (PKDD/ECML Workshops (5), 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)

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 Galfrè; Daniele Pavesi; Maurizio Parton; Francesco Morandin (DS (1), 2024)

SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics. - Antonio Di Cecco; Andrea Papini; Carlo Metta; Marco Fantozzi; Silvia Giulia Galfrè; Francesco Morandin; Maurizio Parton (DS (1), 2024)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (DS (LB), 2024)

GloNets: Globally Connected Neural Networks. - Antonio Di Cecco; Carlo Metta; Marco Fantozzi; Francesco Morandin; Maurizio Parton (IDA (1), 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 (IDA (2), 2024)

AI for Sustainability: Research at Ud'A Node. - Gianluca Amato; Alessia Amelio; Luciano Caroprese; Piero Chiacchiaretta; Fabio Fioravanti; Luigi Ippoliti; Maria Chiara Meo; Gianpiero Monaco; Christian Morbidoni; Luca Moscardelli; Maurizio Parton; Francesca Scozzari (Ital-IA, 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 (WACV, 2024)

Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024. - Carlo Metta; Marco Gregnanin; Andrea Papini; Silvia Giulia Galfrè; Andrea Fois; Francesco Morandin; Marco Fantozzi; Maurizio Parton (CoRR, 2024)

Signature-based portfolio allocation: a network approach. - Marco Gregnanin; Yanyi Zhang; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (Appl. Netw. Sci., 2024)

Curious Explorer: A Provable Exploration Strategy in Policy Learning. - Marco Miani; Maurizio Parton; Marco Romito (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management. - Alessandro Marchetti; Daniele Sasso; Federico D'Antoni; Francesco Morandin; Maurizio Parton; Margherita A. G. Matarrese; Mario Merone (Comput. Biol. Medicine, 2025)

Increasing biases can be more efficient than increasing weights. - Carlo Metta; Marco Fantozzi; Andrea Papini; Gianluca Amato; Matteo Bergamaschi; Andrea Fois; Silvia Giulia Galfrè; Alessandro Marchetti; Michelangelo Vegliò; Maurizio Parton; Francesco Morandin (Adv. Data Anal. Classif., 2025)

Exploration and generalization in deep learning with SwitchPath activations. - Antonio Di Cecco; Andrea Papini; Carlo Metta; Marco Fantozzi; Silvia Giulia Galfrè; Francesco Morandin; Maurizio Parton (Mach. Learn., 2025)