Andrea Loreggia

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 60

Top Topics

Artificial Intelligence

Theoretical And Experimental Analysis

Top Venues

Publications

Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR (2024)
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina
Fast and Slow Goal Recognition. AAMAS (2024)
Loris Nanni, Sheryl Brahnam, Andrea Loreggia
An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images. IEEE Access 12 (2024)
Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS (2024)
Riccardo Bravin, Loris Nanni, Andrea Loreggia, Sheryl Brahnam, Michelangelo Paci
Varied Image Data Augmentation Methods for Building Ensemble. IEEE Access 11 (2023)
Loris Nanni, Andrea Loreggia, Alessandra Lumini, Alberto Dorizza
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies. J. Imaging 9 (2) (2023)
Francesco Corea, Fabio Fossa, Andrea Loreggia, Stefano Quintarelli, Salvatore Sapienza
A principle-based approach to AI: the case for European Union and Italy. AI Soc. 38 (2) (2023)
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
Understanding the Capabilities of Large Language Models for Automated Planning. CoRR (2023)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI (2023)
Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. IJCAI (2023)
Loris Nanni, Andrea Loreggia, Leonardo Barcellona, Stefano Ghidoni
Building Ensemble of Deep Networks: Convolutional Networks and Transformers. IEEE Access 11 (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)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. CoRR (2023)
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
Fast and Slow Planning. CoRR (2023)
Loris Nanni, Carlo Fantozzi, Andrea Loreggia, Alessandra Lumini
Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation. Sensors 23 (10) (2023)
Thiago Dal Pont, Federico Galli, Andrea Loreggia, Giuseppe Pisano, Riccardo Rovatti, Giovanni Sartor
Legal Summarisation through LLMs: The PRODIGIT Project. CoRR (2023)
Andrea Loreggia, Francesco Faccio, Diego Mussolin, Maurizio Zambonin
Simulating Floating Head Pressure Control With Artificial Intelligence. IEEE Access 10 (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR (2022)
Alberto Zerbinati, Andrea Loreggia, Giuseppe Contissa, Federico Galli, Francesca Lagioia, Giovanni Sartor
SenTag 2.0: A Cooperative Annotation Tool. ISWC (Posters/Demos/Industry) (2022)
Andrea Loreggia, Emiliano Lorini, Giovanni Sartor
Modelling Ceteris Paribus Preferences with Deontic Logic. J. Log. Comput. 32 (2) (2022)
Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable
Learning Behavioral Soft Constraints from Demonstrations. CoRR (2022)
Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi
Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis. AAMAS (2022)
Andrea Loreggia, Roberta Calegari, Emiliano Lorini, Francesca Rossi, Giovanni Sartor
How to model contrary-to-duty with GCP-nets. Intelligenza Artificiale 16 (2) (2022)
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia
Plansformer: Generating Symbolic Plans using Transformers. CoRR (2022)
Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni
Deep Semantic Segmentation in Skin Detection. ESANN (2022)
Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Making Human-Like Moral Decisions. AIES (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) (2022)
Andrea Loreggia, Simone Mosco, Alberto Zerbinati
SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents. AAAI (2022)
Andrea Loreggia, Anna Passarelli, Maria Silvia Pini
The Influence of Environmental Factors on the Spread of COVID-19 in Italy. KES (2022)
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR (2022)
Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava
Epistemic Planning in a Fast and Slow Setting. TFSOCTAI@AAAI Fall Symposium (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: the Role of Metacognition. CoRR (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium (2021)
Andrea Loreggia, Simone Mosco, Alberto Zerbinati
SenTag: a Web-based Tool for Semantic Annotation of Textual Documents. CoRR (2021)
Loris Nanni, Daniela Cuza, Alessandra Lumini, Andrea Loreggia, Sheryl Brahnam
Deep ensembles in bioimage segmentation. CoRR (2021)
Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations. CoRR (2021)
Andrea Loreggia, Anna Passarelli
The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach. CoRR (2021)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. AAAI (2021)
Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi
Voting with random classifiers (VORACE): theoretical and experimental analysis. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. CoRR (2020)
Giovanni Iacca, Francesca Lagioia, Andrea Loreggia, Giovanni Sartor
A Genetic Approach to the Ethical Knob. JURIX (2020)
Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi
Voting with Random Classifiers (VORACE). AAMAS (2020)
Andrea Loreggia, Emiliano Lorini, Giovanni Sartor
A Ceteris Paribus Deontic Logic. CILC (2020)
Andrea Loreggia, Emiliano Lorini, Giovanni Sartor
A Novel Approach For a Ceteris Paribus Deontic Logic. EKAW (Posters & Demos) (2020)
Roberta Calegari, Andrea Loreggia, Emiliano Lorini, Francesca Rossi, Giovanni Sartor
Modeling Contrary-to-Duty with CP-nets. CoRR (2020)
Andrea Loreggia, Nicholas Mattei, Stefano Quintarelli
Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda. IFDaD (2020)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. IJCAI (2019)
Francesca Rossi, Andrea Loreggia
Preferences and Ethical Priorities: Thinking Fast and Slow in AI. AAMAS (2019)
Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi
Voting with Random Classifiers (VORACE). CoRR (2019)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Metric Learning for Value Alignment. AISafety@IJCAI (2019)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Preferences and Ethical Principles in Decision Making. AIES (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Preferences and Ethical Principles in Decision Making. AAAI Spring Symposia (2018)
Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi
Voting with Random Neural Networks: a Democratic Ensemble Classifier. RiCeRcA@AI*IA (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences. CoRR (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
On the Distance Between CP-nets. AAMAS (2018)
Andrea Loreggia, Francesca Rossi, Kristen Brent Venable
Modelling Ethical Theories Compactly. AAAI Workshops (2017)
Umberto Grandi, Andrea Loreggia, Francesca Rossi, Vijay A. Saraswat
A Borda count for collective sentiment analysis. Ann. Math. Artif. Intell. 77 (3-4) (2016)
Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat
Deep Learning for Algorithm Portfolios. AAAI (2016)
Andrea Loreggia, Nina Narodytska, Francesca Rossi, Kristen Brent Venable, Toby Walsh
Controlling Elections by Replacing Candidates or Votes. AAMAS (2015)
Cristina Cornelio, Andrea Loreggia, Vijay A. Saraswat
Logical Conditional Preference Theories. CoRR (2015)
Umberto Grandi, Andrea Loreggia, Francesca Rossi, Vijay A. Saraswat
From Sentiment Analysis to Preference Aggregation. ISAIM (2014)
Andrea Loreggia
Iterative voting and multi-mode control in preference aggregation. Intelligenza Artificiale 8 (1) (2014)
Andrea Loreggia, Nina Narodytska, Francesca Rossi, Kristen Brent Venable, Toby Walsh
Controlling Elections by Replacing Candidates: Theoretical and Experimental Results. MPREF@AAAI (2014)
Umberto Grandi, Andrea Loreggia, Francesca Rossi, Kristen Brent Venable, Toby Walsh
Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score. ADT (2013)
Umberto Grandi, Andrea Loreggia, Francesca Rossi, Kristen Brent Venable, Toby Walsh
Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency SR (2013)