Matteo Olivato

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Cascade Correlation

Uncertainty Handling

Top Venues

Publications

Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina, Mattia Chiari, Matteo Olivato
Learning General Policies for Planning through GPT Models. ICAPS (2024)
Matteo Olivato, Luca Putelli, Nicola Arici, Alfonso Emilio Gerevini, Alberto Lavelli, Ivan Serina
Language Models for Hierarchical Classification of Radiology Reports With Attention Mechanisms, BERT, and GPT-4. IEEE Access 12 (2024)
Nicholas Rossetti, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Mattia Chiari, Ivan Serina, Davide Minisci, Emanuele Foca
Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling. KES (2023)
Tahir Mehmood, Alfonso Emilio Gerevini, Alberto Lavelli, Matteo Olivato, Ivan Serina
Distilling Knowledge with a Teacher's Multitask Model for Biomedical Named Entity Recognition. Inf. 14 (5) (2023)
Nicola Arici, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Luca Sigalini, Ivan Serina
Real-World Implementation and Integration of an Automatic Scoring System for Workplace Safety Courses in Italian. Future Internet 15 (8) (2023)
Mattia Chiari, Alfonso Emilio Gerevini, Francesco Percassi, Luca Putelli, Ivan Serina, Matteo Olivato
Goal Recognition as a Deep Learning Task: The GRNet Approach. ICAPS (2023)
Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
Machine Learning Techniques for Prognosis Estimation and Knowledge Discovery From Lab Test Results With Application to the COVID-19 Emergency. IEEE Access 11 (2023)
Matteo Olivato, Nicholas Rossetti, Alfonso Emilio Gerevini, Mattia Chiari, Luca Putelli, Ivan Serina
Machine Learning Models for Predicting Short-Long Length of Stay of COVID-19 Patients. KES (2022)
Mattia Chiari, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Nicholas Rossetti, Ivan Serina
An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy. AIME (2021)
Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Matteo Olivato, Ivan Serina
Deep Learning for Classification of Radiology Reports with a Hierarchical Schema. KES (2020)
Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees. CoRR (2020)
Mattia Chiari, Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data. ICPR Workshops (1) (2020)
Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees. KDH@ECAI (2020)
Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. IROS (2019)