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 with Handicap and Targets High Scores in 9×9 Go. - Francesco Morandin; Gianluca Amato; Marco Fantozzi; Rosa Gini; Carlo Metta; Maurizio Parton (ECAI, 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)

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)

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

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)