Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score. - Umberto Grandi; Andrea Loreggia; Francesca Rossi 001; Kristen Brent Venable; Toby Walsh (ADT, 2013)

Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency - Umberto Grandi; Andrea Loreggia; Francesca Rossi 001; Kristen Brent Venable; Toby Walsh (SR, 2013)

Controlling Elections by Replacing Candidates: Theoretical and Experimental Results. - Andrea Loreggia; Nina Narodytska; Francesca Rossi 001; Kristen Brent Venable; Toby Walsh (MPREF@AAAI, 2014)

From Sentiment Analysis to Preference Aggregation. - Umberto Grandi; Andrea Loreggia; Francesca Rossi 001; Vijay A. Saraswat (ISAIM, 2014)

Iterative voting and multi-mode control in preference aggregation. - Andrea Loreggia (Intelligenza Artificiale, 2014)

Controlling Elections by Replacing Candidates or Votes. - Andrea Loreggia; Nina Narodytska; Francesca Rossi 001; Kristen Brent Venable; Toby Walsh (AAMAS, 2015)

Logical Conditional Preference Theories. - Cristina Cornelio; Andrea Loreggia; Vijay A. Saraswat (CoRR, 2015)

Deep Learning for Algorithm Portfolios. - Andrea Loreggia; Yuri Malitsky; Horst Samulowitz; Vijay A. Saraswat (AAAI, 2016)

A Borda count for collective sentiment analysis. - Umberto Grandi; Andrea Loreggia; Francesca Rossi 001; Vijay A. Saraswat (Ann. Math. Artif. Intell., 2016)

Modelling Ethical Theories Compactly. - Andrea Loreggia; Francesca Rossi 001; Kristen Brent Venable (AAAI Workshops, 2017)

Preferences and Ethical Principles in Decision Making. - Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Kristen Brent Venable (AAAI Spring Symposia, 2018)

Voting with Random Neural Networks: a Democratic Ensemble Classifier. - Michele Donini; Andrea Loreggia; Maria Silvia Pini; Francesca Rossi 001 (RiCeRcA@AI*IA, 2018)

On the Distance Between CP-nets. - Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Kristen Brent Venable (AAMAS, 2018)

CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences. - Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Kristen Brent Venable (CoRR, 2018)

Preferences and Ethical Priorities: Thinking Fast and Slow in AI. - Francesca Rossi 001; Andrea Loreggia (AAMAS, 2019)

Metric Learning for Value Alignment. - Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Kristen Brent Venable (AISafety@IJCAI, 2019)

CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. - Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Kristen Brent Venable (IJCAI, 2019)

Voting with Random Classifiers (VORACE). - Cristina Cornelio; Michele Donini; Andrea Loreggia; Maria Silvia Pini; Francesca Rossi 001 (AAMAS, 2020)

A Ceteris Paribus Deontic Logic. - Andrea Loreggia; Emiliano Lorini; Giovanni Sartor (CILC, 2020)

A Novel Approach For a Ceteris Paribus Deontic Logic. - Andrea Loreggia; Emiliano Lorini; Giovanni Sartor (EKAW (Posters & Demos), 2020)

Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda. - Andrea Loreggia; Nicholas Mattei; Stefano Quintarelli (IFDaD, 2020)

A Genetic Approach to the Ethical Knob. - Giovanni Iacca; Francesca Lagioia; Andrea Loreggia; Giovanni Sartor (JURIX, 2020)

Modeling Contrary-to-Duty with CP-nets. - Roberta Calegari; Andrea Loreggia; Emiliano Lorini; Francesca Rossi 001; Giovanni Sartor (CoRR, 2020)

Thinking Fast and Slow in AI. - Grady Booch; Francesco Fabiano; Lior Horesh; Kiran Kate; Jonathan Lenchner; Nick Linck; Andrea Loreggia; Keerthiram Murugesan; Nicholas Mattei; Francesca Rossi 001; Biplav Srivastava (AAAI, 2021)

Epistemic Planning in a Fast and Slow Setting. - Francesco Fabiano; Marianna Bergamaschi Ganapini; Lior Horesh; Andrea Loreggia; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava (TFSOCTAI@AAAI Fall Symposium, 2021)

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. - Marianna Bergamaschi Ganapini; Murray Campbell; Francesco Fabiano; Lior Horesh; Jonathan Lenchner; Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (TFSOCTAI@AAAI Fall Symposium, 2021)

Voting with random classifiers (VORACE): theoretical and experimental analysis. - Cristina Cornelio; Michele Donini; Andrea Loreggia; Maria Silvia Pini; Francesca Rossi 001 (Auton. Agents Multi Agent Syst., 2021)

The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach. - Andrea Loreggia; Anna Passarelli (CoRR, 2021)

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations. - Arie Glazier; Andrea Loreggia; Nicholas Mattei; Taher Rahgooy; Francesca Rossi 001; Kristen Brent Venable (CoRR, 2021)

Deep ensembles in bioimage segmentation. - Loris Nanni; Daniela Cuza; Alessandra Lumini; Andrea Loreggia; Sheryl Brahnam (CoRR, 2021)

SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents. - Andrea Loreggia; Simone Mosco; Alberto Zerbinati (AAAI, 2022)

Making Human-Like Moral Decisions. - Andrea Loreggia; Nicholas Mattei; Taher Rahgooy; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (AIES, 2022)

Deep Semantic Segmentation in Skin Detection. - Daniela Cuza; Andrea Loreggia; Alessandra Lumini; Loris Nanni (ESANN, 2022)

The Influence of Environmental Factors on the Spread of COVID-19 in Italy. - Andrea Loreggia; Anna Passarelli; Maria Silvia Pini (KES, 2022)

Thinking Fast and Slow in AI: The Role of Metacognition. - Marianna Bergamaschi Ganapini; Murray Campbell; Francesco Fabiano; Lior Horesh; Jon Lenchner; Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (LOD (2), 2022)

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. - Marianna Bergamaschi Ganapini; Murray Campbell; Francesco Fabiano; Lior Horesh; Jonathan Lenchner; Andrea Loreggia; Nicholas Mattei; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (NeSy, 2022)

SenTag 2.0: A Cooperative Annotation Tool. - Alberto Zerbinati; Andrea Loreggia; Giuseppe Contissa; Federico Galli; Francesca Lagioia; Giovanni Sartor (ISWC (Posters/Demos/Industry), 2022)

Simulating Floating Head Pressure Control With Artificial Intelligence. - Andrea Loreggia; Francesco Faccio; Diego Mussolin; Maurizio Zambonin (IEEE Access, 2022)

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. - Marianna Bergamaschi Ganapini; Murray Campbell; Francesco Fabiano; Lior Horesh; Jon Lenchner; Andrea Loreggia; Nicholas Mattei; Taher Rahgooy; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (CoRR, 2022)

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (CoRR, 2022)

Learning Behavioral Soft Constraints from Demonstrations. - Arie Glazier; Andrea Loreggia; Nicholas Mattei; Taher Rahgooy; Francesca Rossi 001; Kristen Brent Venable (CoRR, 2022)

Plansformer: Generating Symbolic Plans using Transformers. - Vishal Pallagani; Bharath Muppasani; Keerthiram Murugesan; Francesca Rossi 001; Lior Horesh; Biplav Srivastava; Francesco Fabiano; Andrea Loreggia (CoRR, 2022)

How to model contrary-to-duty with GCP-nets. - Andrea Loreggia; Roberta Calegari; Emiliano Lorini; Francesca Rossi 001; Giovanni Sartor (Intelligenza Artificiale, 2022)

Modelling Ceteris Paribus Preferences with Deontic Logic. - Andrea Loreggia; Emiliano Lorini; Giovanni Sartor (J. Log. Comput., 2022)

Value-based Fast and Slow AI Nudging. - Marianna Bergamaschi Ganapini; Francesco Fabiano; Lior Horesh; Andrea Loreggia; Nicholas Mattei; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (ETHAICS@IJCAI, 2023)

Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. - Vishal Pallagani; Bharath Muppasani; Biplav Srivastava; Francesca Rossi 001; Lior Horesh; Keerthiram Murugesan; Andrea Loreggia; Francesco Fabiano; Rony Joseph; Yathin Kethepalli (IJCAI, 2023)

Varied Image Data Augmentation Methods for Building Ensemble. - Riccardo Bravin; Loris Nanni; Andrea Loreggia; Sheryl Brahnam; Michelangelo Paci (IEEE Access, 2023)

Building Ensemble of Deep Networks: Convolutional Networks and Transformers. - Loris Nanni; Andrea Loreggia; Leonardo Barcellona; Stefano Ghidoni (IEEE Access, 2023)

Fast and Slow Planning. - Francesco Fabiano; Vishal Pallagani; Marianna Bergamaschi Ganapini; Lior Horesh; Andrea Loreggia; Keerthiram Murugesan; Francesca Rossi 001; Biplav Srivastava (CoRR, 2023)

Understanding the Capabilities of Large Language Models for Automated Planning. - Vishal Pallagani; Bharath Muppasani; Keerthiram Murugesan; Francesca Rossi 001; Biplav Srivastava; Lior Horesh; Francesco Fabiano; Andrea Loreggia (CoRR, 2023)

Legal Summarisation through LLMs: The PRODIGIT Project. - Thiago Raulino Dal Pont; Federico Galli; Andrea Loreggia; Giuseppe Pisano; Riccardo Rovatti; Giovanni Sartor (CoRR, 2023)

Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies. - Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina; Andrea Loreggia; Luca Putelli; Anna Roubícková (J. Artif. Intell. Res., 2023)

A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies. - Loris Nanni; Andrea Loreggia; Alessandra Lumini; Alberto Dorizza (J. Imaging, 2023)

Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation. - Loris Nanni; Carlo Fantozzi; Andrea Loreggia; Alessandra Lumini (Sensors, 2023)

Chiller simulated and real-world data. - Andrea Loreggia; Francesco Faccio; Diego Mussolin; Maurizio Zambonin (IEEE DataPort, 2023)

A principle-based approach to AI: the case for European Union and Italy. - Francesco Corea; Fabio Fossa; Andrea Loreggia; Stefano Quintarelli; Salvatore Sapienza (AI Soc., 2023)

Fast and Slow Goal Recognition. - Mattia Chiari; Alfonso Emilio Gerevini; Andrea Loreggia; Luca Putelli; Ivan Serina (AAMAS, 2024)

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). - Vishal Pallagani; Bharath C. Muppasani; Kaushik Roy 009; Francesco Fabiano; Andrea Loreggia; Keerthiram Murugesan; Biplav Srivastava; Francesca Rossi 001; Lior Horesh; Amit P. Sheth (ICAPS, 2024)

An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images. - Loris Nanni; Sheryl Brahnam; Andrea Loreggia (IEEE Access, 2024)

When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (Auton. Agents Multi Agent Syst., 2024)

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgements Based on Empirical Data (Extended Abstract). - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (AAMAS, 2025)

The Summarization of Italian Tax-Law Decisions: The Case of the PRODIGIT Project. - Alessia Fidelangeli; Federico Galli; Andrea Loreggia; Giuseppe Pisano; Riccardo Rovatti; Piera Santin; Giovanni Sartor (IEEE Access, 2025)

Thinking Fast and Slow in Human and Machine Intelligence. - Francesco Fabiano; Marianna Bergamaschi Ganapini; Andrea Loreggia; Nicholas Mattei; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (Commun. ACM, 2025)