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)

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)

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (ISCC, 2021)

Explainable Deep Image Classifiers for Skin Lesion Diagnosis. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (CoRR, 2021)

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (HHAI, 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 (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)

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)

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. - Fabio Michele Russo; Carlo Metta; Anna Monreale; Salvatore Rinzivillo; Fabio Pinelli (DS (2), 2024)

XAI in Healthcare. - Gizem Gezici; Carlo Metta; Andrea Beretta; Roberto Pellungrini; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (HHAI Workshops, 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)

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)

Volvo Discovery Challenge at ECML-PKDD 2024. - Mahmoud Rahat; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk; Shamik Choudhury; Leo Petrin; Thorsteinn S. Rögnvaldsson; Andreas Voskou; Carlo Metta; Claudio Savelli (CoRR, 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)

Interactive Visual Exploration of Latent Spaces for Explainable AI: Bridging Concepts and Features. - Carlo Metta; Eleonora Cappuccio; Salvatore Rinzivillo (IUI Workshops, 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)

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (Int. J. Data Sci. Anal., 2025)