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Journal Articles
- 2024
[j4]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: 69710-69727 (2024)- 2023
- [j3]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: 83905-83933 (2023) - [j2]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): 268 (2023) - [j1]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): 255 (2023)
Conference and Workshop Papers
- 2024
- [c10]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: 500-508 - [c9]Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina:
Enhancing GPT-Based Planning Policies by Model-Based Plan Validation. NeSy (2) 2024: 328-337 - 2023
- [c8]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: 560-568 - [c7]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: 1542-1551 - 2022
- [c6]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: 1232-1241 - 2021
- [c5]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: 318-328 - 2020
- [c4]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: 27-34 - [c3]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: 212-226 - [c2]Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Matteo Olivato, Ivan Serina:
Deep Learning for Classification of Radiology Reports with a Hierarchical Schema. KES 2020: 349-359 - 2019
- [c1]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: 984-989
Informal and Other Publications
- 2020
- [i1]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 abs/2010.04420 (2020)
Coauthor Index
aka: Alfonso Emilio Gerevini
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