Luca Putelli

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Recurrent Neural Networks

Weakly Supervised

Language Understanding

Top Venues

Future Internet

Publications

Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina
Fast and Slow Goal Recognition. AAMAS (2024)
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)
Tahir Mehmood, Ivan Serina, Alberto Lavelli, Luca Putelli, Alfonso Gerevini
On the Use of Knowledge Transfer Techniques for Biomedical Named Entity Recognition. Future Internet 15 (2) (2023)
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)
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, Luca Putelli, Ivan Serina
Goal Recognition with Deep Learning and Embedded Representation of State Traces. IPS-RCRA-SPIRIT@AI*IA (2023)
Lorenzo Serina, Luca Putelli, Alfonso Emilio Gerevini, Ivan Serina
Synonyms, Antonyms and Factual Knowledge in BERT Heads. Future Internet 15 (7) (2023)
Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina, Andrea Loreggia, Luca Putelli, Anna Roubícková
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies. J. Artif. Intell. Res. 78 (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)
Michele Dusi, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina
Supervised Bias Detection in Transformers-based Language Models (Short paper). DC@AI*IA (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)
Nicola Arici, Luca Putelli, Alfonso Emilio Gerevini, Luca Sigalini, Ivan Serina
LLM-based Approaches for Automatic Ticket Assignment: A Real-world Italian Application. NL4AI@AI*IA (2023)
Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Francesco Percassi, Ivan Serina
Goal Recognition as a Deep Learning Task: the GRNet Approach. CoRR (2022)
Michele Dusi, Nicola Arici, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina
Graphical Identification of Gender Bias in BERT with a Weakly Supervised Approach. NL4AI@AI*IA (2022)
Nicola Arici, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina, Luca Sigalini
A BERT-Based Scoring System for Workplace Safety Courses in Italian. AI*IA (2022)
Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Tahir Mehmood, Ivan Serina
On the Behaviour of BERT's Attention for the Classification of Medical Reports. XAI.it@AI*IA (2022)
Lorenzo Serina, Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina
A Preliminary Study on BERT applied to Automated Planning. IPS/RiCeRcA/SPIRIT@AI*IA (2022)
Matteo Zubani, Luca Sigalini, Ivan Serina, Luca Putelli, Alfonso Emilio Gerevini, Mattia Chiari
A Performance Comparison of Different Cloud-Based Natural Language Understanding Services for an Italian e-Learning Platform. Future Internet 14 (2) (2022)
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)
Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Roberto Maroldi, Ivan Serina
Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports. AIME (2021)
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)
Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Ivan Serina
The Impact of Self-Interaction Attention on the Extraction of Drug-Drug Interactions. CLiC-it (2019)
Luca Putelli, Alfonso Gerevini, Alberto Lavelli, Ivan Serina
Applying Self-interaction Attention for Extracting Drug-Drug Interactions. AI*IA (2019)