Cutting the Size of Compressed Path Databases with Wildcards and Redundant Symbols. - Mattia Chiari; Shizhe Zhao; Adi Botea; Alfonso Emilio Gerevini; Daniel Harabor; Alessandro Saetti; Matteo Salvetti; Peter J. Stuckey (ICAPS, 2019)

Bounded Suboptimal Path Planning with Compressed Path Databases. - Shizhe Zhao; Mattia Chiari; Adi Botea; Alfonso Emilio Gerevini; Daniel Harabor; Alessandro Saetti; Peter J. Stuckey (ICAPS, 2020)

Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data. - Mattia Chiari; Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (ICPR Workshops (1), 2020)

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)

A Preliminary Study on BERT applied to Automated Planning. - Lorenzo Serina; Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (IPS/RiCeRcA/SPIRIT@AI*IA, 2022)

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)

Goal Recognition as a Deep Learning Task: the GRNet Approach. - Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Francesco Percassi; Ivan Serina (CoRR, 2022)

A Performance Comparison of Different Cloud-Based Natural Language Understanding Services for an Italian e-Learning Platform. - Matteo Zubani; Luca Sigalini; Ivan Serina; Luca Putelli; Alfonso Emilio Gerevini; Mattia Chiari (Future Internet, 2022)

Goal Recognition with Deep Learning and Embedded Representation of State Traces. - Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (IPS-RCRA-SPIRIT@AI*IA, 2023)

Goal Recognition as a Deep Learning Task: The GRNet Approach. - Mattia Chiari; Alfonso Emilio Gerevini; Francesco Percassi; Luca Putelli; Ivan Serina; Matteo Olivato (ICAPS, 2023)

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)

Fast and Slow Goal Recognition. - Mattia Chiari; Alfonso Emilio Gerevini; Andrea Loreggia; Luca Putelli; Ivan Serina (AAMAS, 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)

Towards Efficient Online Goal Recognition through Deep Learning. - Lorenzo Serina; Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (AAMAS, 2025)