Francesco Morandin

According to our database, Francesco Morandin authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 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., June, 2025

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

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, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

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

SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics.

Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton

Proceedings of the Discovery Science - 27th International Conference, 2024

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

Proceedings of the Discovery Science - 27th International Conference, 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

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

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

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