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Alfonso Emilio Gerevini
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2020 – today
- 2024
- [j42]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: 69710-69727 (2024) - [c111]Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala:
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning. AAAI 2024: 20036-20043 - [c110]Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala:
An Effective Polynomial Technique for Compiling Conditional Effects Away. AAAI 2024: 20104-20112 - [c109]Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina:
Fast and Slow Goal Recognition. AAMAS 2024: 354-362 - [c108]Luigi Bonassi, Giuseppe De Giacomo, Alfonso Emilio Gerevini, Enrico Scala:
Shielded FOND: Planning with Safety Constraints in Pure-Past Linear Temporal Logic. ECAI 2024: 1262-1269 - [c107]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 - [c106]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 (Extended Abstract). IJCAI 2024: 8378-8383 - [c105]Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina:
Enhancing GPT-Based Planning Policies by Model-Based Plan Validation. NeSy (2) 2024: 328-337 - [c104]Francesco Percassi, Enrico Scala, Alfonso Emilio Gerevini:
Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning. SOCS 2024: 100-108 - 2023
- [j41]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: 83905-83933 (2023) - [j40]Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Width-based search for multi agent privacy-preserving planning. Artif. Intell. 318: 103883 (2023) - [j39]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): 79 (2023) - [j38]Lorenzo Serina, Luca Putelli, Alfonso Emilio Gerevini, Ivan Serina:
Synonyms, Antonyms and Factual Knowledge in BERT Heads. Future Internet 15(7): 230 (2023) - [j37]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): 268 (2023) - [j36]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): 255 (2023) - [j35]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: 527-577 (2023) - [j34]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): 849-875 (2023) - [c103]Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Planning for Learning Object Properties. AAAI 2023: 12005-12013 - [c102]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 - [c101]Michele Dusi, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina:
Supervised Bias Detection in Transformers-based Language Models (Short paper). DC@AI*IA 2023 - [c100]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: 61-69 - [c99]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 - [c98]Diego Aineto, Alessandro Gaudenzi, Alfonso Gerevini, Alberto Rovetta, Enrico Scala, Ivan Serina:
Action-Failure Resilient Planning. ECAI 2023: 44-51 - [c97]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: 279-286 - [c96]Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti, Luciano Serafini, Paolo Traverso:
Learning to Act for Perceiving in Partially Unknown Environments. IJCAI 2023: 5485-5493 - [c95]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 - [c94]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 - [i11]Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Planning for Learning Object Properties. CoRR abs/2301.06054 (2023) - [i10]Chris Fawcett, Mauro Vallati, Holger H. Hoos, Alfonso Emilio Gerevini:
Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling. CoRR abs/2308.05062 (2023) - 2022
- [j33]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) - [c93]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: 457-471 - [c92]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 - [c91]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 - [c90]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: 16-30 - [c89]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: 164-176 - [c88]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 - [c87]Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala:
Planning with Qualitative Action-Trajectory Constraints in PDDL. IJCAI 2022: 4606-4613 - [c86]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 - [c85]Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Online Grounding of Symbolic Planning Domains in Unknown Environments. KR 2022 - [c84]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: 276-278 - [i9]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
- [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso:
Online Learning of Action Models for PDDL Planning. IJCAI 2021: 4112-4118 - [i8]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
- [j32]Alfonso Emilio Gerevini:
An Introduction to the Planning Domain Definition Language (PDDL): Book review. Artif. Intell. 280: 103221 (2020) - [j31]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) - [c78]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 - [c77]Tahir Mehmood, Ivan Serina, Alberto Lavelli, Alfonso Gerevini:
Knowledge Distillation Techniques for Biomedical Named Entity Recognition. NL4AI@AI*IA 2020: 141-156 - [c76]Enrico Scala, Alessandro Saetti, Ivan Serina, Alfonso Emilio Gerevini:
Search-Guidance Mechanisms for Numeric Planning Through Subgoaling Relaxation. ICAPS 2020: 226-234 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [i7]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)
2010 – 2019
- 2019
- [c68]Tahir Mehmood, Alfonso Gerevini, Alberto Lavelli, Ivan Serina:
Leveraging Multi-task Learning for Biomedical Named Entity Recognition. AI*IA 2019: 431-444 - [c67]Luca Putelli, Alfonso Gerevini, Alberto Lavelli, Ivan Serina:
Applying Self-interaction Attention for Extracting Drug-Drug Interactions. AI*IA 2019: 445-460 - [c66]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 - [c65]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 - [c64]Francesco Percassi, Alfonso Emilio Gerevini:
On Compiling Away PDDL3 Soft Trajectory Constraints without Using Automata. ICAPS 2019: 320-328 - [c63]Tahir Mehmood, Alfonso Gerevini, Alberto Lavelli, Ivan Serina:
Multi-task Learning Applied to Biomedical Named Entity Recognition Task. CLiC-it 2019 - [c62]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 - [c61]Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey:
Path Planning with CPD Heuristics. IJCAI 2019: 1199-1205 - [c60]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 - [i6]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) - [i5]Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. CoRR abs/1906.08061 (2019) - 2018
- [j30]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): 445-463 (2018) - [j29]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: 72-81 (2018) - [j28]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): 481-504 (2018) - [c59]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: 431-444 - [c58]Matteo Salvetti, Adi Botea, Alfonso Emilio Gerevini, Daniel Harabor, Alessandro Saetti:
Two-Oracle Optimal Path Planning on Grid Maps. ICAPS 2018: 227-231 - [c57]Massimo Bono, Alfonso Emilio Gerevini:
Decremental Consistency Checking of Temporal Constraints: Algorithms for the Point Algebra and the ORD-Horn Class. CP 2018: 47-63 - 2017
- [j27]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): 1760006:1-1760006:27 (2017) - [c56]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: 149-159 - [c55]Matteo Salvetti, Adi Botea, Alessandro Saetti, Alfonso Emilio Gerevini:
Compressed Path Databases with Ordered Wildcard Substitutions. ICAPS 2017: 250-258 - [c54]Patrick Speicher, Marcel Steinmetz, Daniel Gnad, Jörg Hoffmann, Alfonso Gerevini:
Beyond Red-Black Planning: Limited-Memory State Variables. ICAPS 2017: 269-273 - [c53]Federico Falcone, Alfonso Emilio Gerevini, Alessandro Saetti:
On Realizing Planning Programs in Domains with Dead-End States. SOCS 2017: 20-28 - [c52]Francesco Percassi, Alfonso Emilio Gerevini, Hector Geffner:
Improving Plan Quality through Heuristics for Guiding and Pruning the Search: A Study Using LAMA. SOCS 2017: 144-148 - 2016
- [j26]Giuseppe De Giacomo, Alfonso Emilio Gerevini, Fabio Patrizi, Alessandro Saetti, Sebastian Sardiña:
Agent planning programs. Artif. Intell. 231: 64-106 (2016) - [j25]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): 209-240 (2016) - [j24]Francesco Benzi, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina:
On the use of landmarks in planner LPG. Intelligenza Artificiale 10(2): 97-111 (2016) - [c51]Daniel Gnad, Marcel Steinmetz, Mathäus Jany, Jörg Hoffmann, Ivan Serina, Alfonso Gerevini:
Partial Delete Relaxation, Unchained: On Intractable Red-Black Planning and Its Applications. SOCS 2016: 45-53 - 2015
- [j23]Alfonso Emilio Gerevini, Alessandro Saetti, Mauro Vallati:
Exploiting macro-actions and predicting plan length in planning as satisfiability. AI Commun. 28(2): 323-344 (2015) - [j22]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): 603-647 (2015) - [c50]Francesco Benzi, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina:
On the Use of Landmarks in LPG. IPS@AI*IA 2015: 49-64 - [c49]Mauro Vallati, Ivan Serina, Alessandro Saetti, Alfonso Emilio Gerevini:
Identifying and Exploiting Features for Effective Plan Retrieval in Case-Based Planning. ICAPS 2015: 239-243 - [c48]Roberto Gatta, Mauro Vallati, Nicola Mazzini, Diane E. Kitchin, Andrea Bonisoli, Alfonso Gerevini, Vincenzo Valentini:
On the Efficient Allocation of Diagnostic Activities in Modern Imaging Departments. EPIA 2015: 103-109 - [c47]Mattia Rizzini, Chris Fawcett, Mauro Vallati, Alfonso Emilio Gerevini, Holger H. Hoos:
Portfolio Methods for Optimal Planning: An Empirical Analysis. ICTAI 2015: 494-501 - [c46]Luca Ceriani, Alfonso Emilio Gerevini:
Planning with Always Preferences by Compilation into STRIPS with Action Costs. SOCS 2015: 161-165 - 2014
- [j21]Gabriella Cortellessa, Alfonso Emilio Gerevini, Daniele Magazzeni, Ivan Serina:
Automated planning and scheduling. Intelligenza Artificiale 8(1): 55-56 (2014) - [j20]Alfonso Gerevini, Alessandro Saetti, Mauro Vallati:
Planning through Automatic Portfolio Configuration: The PbP Approach. J. Artif. Intell. Res. 50: 639-696 (2014) - [c45]Gianfranco Toninelli, Alfonso Gerevini, Ivan Serina, Martino Vaglio, Fabio Badilini:
Study of ECG Quality using Self Learning Techniques. CinC 2014: 577-580 - [c44]Andrea Bonisoli, Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina:
A Privacy-preserving Model for the Multi-agent Propositional Planning Problem. ECAI 2014: 973-974 - 2013
- [c43]Alfonso Gerevini, Anna Roubícková, Alessandro Saetti, Ivan Serina:
Offline and Online Plan Library Maintenance in Case-Based Planning. AI*IA 2013: 239-250 - [c42]Alfonso Gerevini, Anna Roubícková, Alessandro Saetti, Ivan Serina:
On the Plan-Library Maintenance Problem in a Case-Based Planner. ICCBR 2013: 119-133 - [c41]Mauro Vallati, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, Alessandro Saetti:
Automatic Generation of Efficient Domain-Optimized Planners from Generic Parametrized Planners. SOCS 2013: 184-192 - 2012
- [j19]Tuan Anh Nguyen, Minh Binh Do, Alfonso Gerevini, Ivan Serina, Biplav Srivastava, Subbarao Kambhampati:
Generating diverse plans to handle unknown and partially known user preferences. Artif. Intell. 190: 1-31 (2012) - [c40]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval. ECAI 2012: 348-353 - 2011
- [j18]Alfonso Gerevini, Alessandro Saetti:
Computing the minimal relations in point-based qualitative temporal reasoning through metagraph closure. Artif. Intell. 175(2): 556-585 (2011) - [j17]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
Planning in domains with derived predicates through rule-action graphs and local search. Ann. Math. Artif. Intell. 62(3-4): 259-298 (2011) - [j16]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
An Empirical Analysis of Some Heuristic Features for Planning through Local Search and Action Graphs. Fundam. Informaticae 107(2-3): 167-197 (2011) - [c39]Alfonso Gerevini, Alessandro Saetti, Mauro Vallati:
Exploiting Macro-actions and Predicting Plan Length in Planning as Satisfiability. AI*IA 2011: 189-200 - [c38]Alfonso Gerevini, Fabio Patrizi, Alessandro Saetti:
An Effective Approach to Realizing Planning Programs. ICAPS 2011 - [i4]Tuan Anh Nguyen, Minh Binh Do, Alfonso Gerevini, Ivan Serina, Biplav Srivastava, Subbarao Kambhampati:
Planning with Partial Preference Models. CoRR abs/1101.2279 (2011) - [i3]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
Planning Through Stochastic Local Search and Temporal Action Graphs in LPG. CoRR abs/1106.5265 (2011) - [i2]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
An Approach to Temporal Planning and Scheduling in Domains with Predictable Exogenous Events. CoRR abs/1110.2728 (2011) - 2010
- [j15]Alfonso Gerevini, Ivan Serina:
Efficient Plan Adaptation through Replanning Windows and Heuristic Goals. Fundam. Informaticae 102(3-4): 287-323 (2010) - [c37]Alfonso Gerevini, Alessandro Saetti, Ivan Serina:
Temporal Planning with Problems Requiring Concurrency through Action Graphs and Local Search. ICAPS 2010: 226-229