A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. - Matteo Olivato; Omar Cotugno; Lorenzo Brigato; Domenico Bloisi; Alessandro Farinelli; Luca Iocchi (IROS, 2019)

Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees. - Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (KDH@ECAI, 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)

Deep Learning for Classification of Radiology Reports with a Hierarchical Schema. - Luca Putelli; Alfonso Emilio Gerevini; Alberto Lavelli; Matteo Olivato; Ivan Serina (KES, 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)

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; 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)

Machine Learning Techniques for Prognosis Estimation and Knowledge Discovery From Lab Test Results With Application to the COVID-19 Emergency. - Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (IEEE Access, 2023)

Real-World Implementation and Integration of an Automatic Scoring System for Workplace Safety Courses in Italian. - Nicola Arici; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Luca Sigalini; Ivan Serina (Future Internet, 2023)

Distilling Knowledge with a Teacher's Multitask Model for Biomedical Named Entity Recognition. - Tahir Mehmood; Alfonso Emilio Gerevini; Alberto Lavelli; Matteo Olivato; Ivan Serina (Inf., 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)

Language Models for Hierarchical Classification of Radiology Reports With Attention Mechanisms, BERT, and GPT-4. - Matteo Olivato; Luca Putelli; Nicola Arici; Alfonso Emilio Gerevini; Alberto Lavelli; Ivan Serina (IEEE Access, 2024)