Matteo Olivato

According to our database, Matteo Olivato authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

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

Enhancing GPT-Based Planning Policies by Model-Based Plan Validation.

Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Learning General Policies for Planning through GPT Models.

Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina, Mattia Chiari, Matteo Olivato

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

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., May, 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

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

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Goal Recognition as a Deep Learning Task: The GRNet Approach.

Mattia Chiari, Alfonso Emilio Gerevini, Francesco Percassi, Luca Putelli, Ivan Serina, Matteo Olivato

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

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

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Deep Learning for Classification of Radiology Reports with a Hierarchical Schema.

Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Matteo Olivato, Ivan Serina

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 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

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019

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

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019