Alfonso Emilio Gerevini

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 70

Top Topics

Automated Planning

Language Understanding

Top Venues

Publications

Francesco Percassi, Enrico Scala, Alfonso Emilio Gerevini
Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning. SOCS (2024)
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning. AAAI (2024)
Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala
An Effective Polynomial Technique for Compiling Conditional Effects Away. AAAI (2024)
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)
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)
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) (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)
Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
Width-based search for multi agent privacy-preserving planning. Artif. Intell. 318 (2023)
Francesco Percassi, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina, Mauro Vallati
Improving Domain-Independent Heuristic State-Space Planning via plan cost predictions. J. Exp. Theor. Artif. Intell. 35 (6) (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)
Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala
FOND Planning for Pure-Past Linear Temporal Logic Goals. ECAI (2023)
Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala
Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic. ICAPS (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)
Chris Fawcett, Mauro Vallati, Holger H. Hoos, Alfonso Emilio Gerevini
Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling. CoRR (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)
Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract). SOCS (2022)
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)
Luigi Bonassi, Enrico Scala, Alfonso Emilio Gerevini
Planning with PDDL3 Qualitative Constraints for Cost-Optimal Solutions Through Compilation (Short Paper). IPS/RiCeRcA/SPIRIT@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)
Aymeric Barbin, Federico Cerutti, Alfonso Emilio Gerevini
Addressing the Symbol Grounding Problem with Constraints in Neuro-Symbolic Planning (Short Paper). IPS/RiCeRcA/SPIRIT@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)
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
Planning with Qualitative Action-Trajectory Constraints in PDDL. IJCAI (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)
Luigi Bonassi, Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala
On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away. ICAPS (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)
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)
Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Matteo Olivato, Ivan Serina
Deep Learning for Classification of Radiology Reports with a Hierarchical Schema. KES (2020)
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)
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)
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) (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)
Francesco Percassi, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina, Mauro Vallati
Generating and Exploiting Cost Predictions in Heuristic State-Space Planning. ICAPS (2020)
Enrico Scala, Alessandro Saetti, Ivan Serina, Alfonso Emilio Gerevini
Search-Guidance Mechanisms for Numeric Planning Through Subgoaling Relaxation. ICAPS (2020)
Tahir Mehmood, Alfonso Emilio Gerevini, Alberto Lavelli, Ivan Serina
Combining Multi-task Learning with Transfer Learning for Biomedical Named Entity Recognition. 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. KDH@ECAI (2020)
Matteo Zubani, Ivan Serina, Alfonso Emilio Gerevini
A Comparison of Natural Language Understanding Services to build a chatbot in Italian. NL4AI@AI*IA (2020)
Alfonso Emilio Gerevini
An Introduction to the Planning Domain Definition Language (PDDL): Book review. Artif. Intell. 280 (2020)
Francesco Percassi, Alfonso Emilio Gerevini
On Compiling Away PDDL3 Soft Trajectory Constraints without Using Automata. ICAPS (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)
Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. CoRR (2019)
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)
Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
Best-First Width Search for Multi Agent Privacy-Preserving Planning. ICAPS (2019)
Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
Best-First Width Search for Multi Agent Privacy-preserving Planning. CoRR (2019)
Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina
Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. SOCS (2019)
Massimo Bono, Alfonso Emilio Gerevini
Decremental Consistency Checking of Temporal Constraints: Algorithms for the Point Algebra and the ORD-Horn Class. CP (2018)
Alfonso Emilio Gerevini, Alberto Lavelli, Alessandro Maffi, Roberto Maroldi, Anne-Lyse Minard, Ivan Serina, Guido Squassina
Automatic classification of radiological reports for clinical care. Artif. Intell. Medicine 91 (2018)
Matteo Salvetti, Adi Botea, Alfonso Emilio Gerevini, Daniel Harabor, Alessandro Saetti
Two-Oracle Optimal Path Planning on Grid Maps. ICAPS (2018)
Andrea F. Bocchese, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
Performance robustness of AI planners in the 2014 International Planning Competition. AI Commun. 31 (6) (2018)
Gabriele Bazzotti, Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
Iterative Width Search for Multi Agent Privacy-Preserving Planning. AI*IA (2018)
Andrea Bonisoli, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina
A privacy-preserving model for multi-agent propositional planning. J. Exp. Theor. Artif. Intell. 30 (4) (2018)
Federico Falcone, Alfonso Emilio Gerevini, Alessandro Saetti
On Realizing Planning Programs in Domains with Dead-End States. SOCS (2017)
Francesco Percassi, Alfonso Emilio Gerevini, Hector Geffner
Improving Plan Quality through Heuristics for Guiding and Pruning the Search: A Study Using LAMA. SOCS (2017)
Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis. Int. J. Artif. Intell. Tools 26 (1) (2017)
Alfonso Emilio Gerevini, Alberto Lavelli, Alessandro Maffi, Roberto Maroldi, Anne-Lyse Minard, Ivan Serina, Guido Squassina
Automatic Classification of Radiological Reports for Clinical Care. AIME (2017)
Matteo Salvetti, Adi Botea, Alessandro Saetti, Alfonso Emilio Gerevini
Compressed Path Databases with Ordered Wildcard Substitutions. ICAPS (2017)
Francesco Benzi, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina
On the use of landmarks in planner LPG. Intelligenza Artificiale 10 (2) (2016)
Mauro Vallati, Ivan Serina, Alessandro Saetti, Alfonso Emilio Gerevini
Identifying and Exploiting Features for Effective Plan Retrieval in Case-Based Planning. Fundam. Informaticae 149 (1-2) (2016)
Giuseppe De Giacomo, Alfonso Emilio Gerevini, Fabio Patrizi, Alessandro Saetti, Sebastian Sardiña
Agent planning programs. Artif. Intell. 231 (2016)
Luca Ceriani, Alfonso Emilio Gerevini
Planning with Always Preferences by Compilation into STRIPS with Action Costs. SOCS (2015)
Andrea Bonisoli, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina
Effective plan retrieval in case-based planning for metric-temporal problems. J. Exp. Theor. Artif. Intell. 27 (5) (2015)
Francesco Benzi, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina
On the Use of Landmarks in LPG. IPS@AI*IA (2015)
Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos
Portfolio Methods for Optimal Planning: An Empirical Analysis. ICTAI (2015)
Alfonso Emilio Gerevini, Alessandro Saetti, Mauro Vallati
Exploiting macro-actions and predicting plan length in planning as satisfiability. AI Commun. 28 (2) (2015)
Mauro Vallati, Ivan Serina, Alessandro Saetti, Alfonso Emilio Gerevini
Identifying and Exploiting Features for Effective Plan Retrieval in Case-Based Planning. ICAPS (2015)
Andrea Bonisoli, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina
A Privacy-preserving Model for the Multi-agent Propositional Planning Problem. ECAI (2014)
Gabriella Cortellessa, Alfonso Emilio Gerevini, Daniele Magazzeni, Ivan Serina
Automated planning and scheduling. Intelligenza Artificiale 8 (1) (2014)