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Mattia Chiari
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2020 – today
- 2024
- [c11]Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina:
Fast and Slow Goal Recognition. AAMAS 2024: 354-362 - [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 - 2023
- [c9]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 - [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
- [j1]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): 62 (2022) - [c6]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 - [c5]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 - [i1]Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Francesco Percassi, Ivan Serina:
Goal Recognition as a Deep Learning Task: the GRNet Approach. CoRR abs/2210.02377 (2022) - 2021
- [c4]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
- [c3]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: 333-342 - [c2]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
2010 – 2019
- 2019
- [c1]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: 106-113
Coauthor Index
aka: Alfonso Emilio Gerevini
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