An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy. - Mattia Chiari; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Nicholas Rossetti; Ivan Serina (AIME, 2021)

Machine Learning Models for Predicting Short-Long Length of Stay of COVID-19 Patients. - Matteo Olivato; Nicholas Rossetti; Alfonso Emilio Gerevini; Mattia Chiari; Luca Putelli; Ivan Serina (KES, 2022)

Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling. - Nicholas Rossetti; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Mattia Chiari; Ivan Serina; Davide Minisci; Emanuele Foca (KES, 2023)

Integrating Classical Planners with GPT-Based Planning Policies. - Massimiliano Tummolo; Nicholas Rossetti; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Ivan Serina (AI*IA, 2024)

Learning General Policies for Planning through GPT Models. - Nicholas Rossetti; Massimiliano Tummolo; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina; Mattia Chiari; Matteo Olivato (ICAPS, 2024)

Enhancing GPT-Based Planning Policies by Model-Based Plan Validation. - Nicholas Rossetti; Massimiliano Tummolo; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Ivan Serina (NeSy (2), 2024)