Mattia Chiari

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Learning Models

Automated Planning

Recurrent Neural Networks

Language Understanding

Top Venues

IPS/RiCeRcA/SPIRIT@AI*IA

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)
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)
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)
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)
Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Francesco Percassi, Ivan Serina
Goal Recognition as a Deep Learning Task: the GRNet Approach. CoRR (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)
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)
Shizhe Zhao, Mattia Chiari, Adi Botea, Alfonso Emilio Gerevini, Daniel Harabor, Alessandro Saetti, Peter J. Stuckey
Bounded Suboptimal Path Planning with Compressed Path Databases. ICAPS (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)
Mattia Chiari, Shizhe Zhao, Adi Botea, Alfonso Emilio Gerevini, Daniel Harabor, Alessandro Saetti, Matteo Salvetti, Peter J. Stuckey
Cutting the Size of Compressed Path Databases with Wildcards and Redundant Symbols. ICAPS (2019)