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- Alfonso Gerevini
aka: Alfonso Emilio Gerevini
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Publication search results
found 126 matches
- 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): 62 (2022) - 2021
- Leonardo Lamanna, Alfonso Emilio Gerevini, Alessandro Saetti, Luciano Serafini, Paolo Traverso:
On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces. AAAI 2021: 11862-11869 - 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 - 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: 367-372 - Luigi Bonassi, Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala:
On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away. ICAPS 2021: 46-50 - Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso:
Online Learning of Action Models for PDDL Planning. IJCAI 2021: 4112-4118 - Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Online Grounding of PDDL Domains by Acting and Sensing in Unknown Environments. CoRR abs/2112.10007 (2021) - 2020
- Alfonso Emilio Gerevini
:
An Introduction to the Planning Domain Definition Language (PDDL): Book review. Artif. Intell. 280: 103221 (2020) - Alfonso Emilio Gerevini
, Lenhart K. Schubert:
Discovering state constraints for planning with conditional effects in Discoplan (part I). Ann. Math. Artif. Intell. 88(5-6): 641-686 (2020) - Tahir Mehmood, Ivan Serina, Alberto Lavelli, Alfonso Gerevini:
Knowledge Distillation Techniques for Biomedical Named Entity Recognition. NL4AI@AI*IA 2020: 141-156 - Matteo Zubani, Ivan Serina, Alfonso Emilio Gerevini:
A Comparison of Natural Language Understanding Services to build a chatbot in Italian. NL4AI@AI*IA 2020: 104-117 - Francesco Percassi, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina, Mauro Vallati:
Generating and Exploiting Cost Predictions in Heuristic State-Space Planning. ICAPS 2020: 569-573 - Enrico Scala, Alessandro Saetti, Ivan Serina, Alfonso Emilio Gerevini:
Search-Guidance Mechanisms for Numeric Planning Through Subgoaling Relaxation. ICAPS 2020: 226-234 - 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 - 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 - 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 - Tahir Mehmood, Alfonso Emilio Gerevini, Alberto Lavelli, Ivan Serina:
Combining Multi-task Learning with Transfer Learning for Biomedical Named Entity Recognition. KES 2020: 848-857 - 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 - Matteo Zubani, Luca Sigalini, Ivan Serina
, Alfonso Emilio Gerevini:
Evaluating different Natural Language Understanding services in a real business case for the Italian language. KES 2020: 995-1004 - 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) - 2019
- Tahir Mehmood, Alfonso Gerevini, Alberto Lavelli, Ivan Serina
:
Leveraging Multi-task Learning for Biomedical Named Entity Recognition. AI*IA 2019: 431-444 - Luca Putelli, Alfonso Gerevini, Alberto Lavelli, Ivan Serina
:
Applying Self-interaction Attention for Extracting Drug-Drug Interactions. AI*IA 2019: 445-460 - 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 - Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Best-First Width Search for Multi Agent Privacy-Preserving Planning. ICAPS 2019: 163-171 - Francesco Percassi, Alfonso Emilio Gerevini:
On Compiling Away PDDL3 Soft Trajectory Constraints without Using Automata. ICAPS 2019: 320-328 - Tahir Mehmood, Alfonso Gerevini, Alberto Lavelli, Ivan Serina:
Multi-task Learning Applied to Biomedical Named Entity Recognition Task. CLiC-it 2019 - 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 - Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey:
Path Planning with CPD Heuristics. IJCAI 2019: 1199-1205 - Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. SOCS 2019: 79-87 - Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Best-First Width Search for Multi Agent Privacy-preserving Planning. CoRR abs/1906.03955 (2019)
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