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)

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)

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)

Smoluchowski Coagulation Equation with Velocity Dependence. - Franco Flandoli; Ruojun Huang; Andrea Papini (SIAM J. Math. Anal., 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)

Approximation of the Lévy-driven stochastic heat equation on the sphere. - Annika Lang; Andrea Papini; Verena Schwarz (CoRR, 2025)

Diffusive behavior of transport noise on S2. - Sagy Ephrati; Erik Jansson; Andrea Papini (CoRR, 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)