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Andrea Loreggia
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- affiliation: University of Brescia, Italy
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2020 – today
- 2024
- [j14]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): 35 (2024) - [j13]Loris Nanni
, Sheryl Brahnam
An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images. IEEE Access 12: 74218-74229 (2024) - [c34]Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina:
Fast and Slow Goal Recognition. AAMAS 2024: 354-362 - [c33]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: 432-444 - [i19]Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR abs/2401.02500 (2024) - 2023
- [j12]Riccardo Bravin
Varied Image Data Augmentation Methods for Building Ensemble. IEEE Access 11: 8810-8823 (2023) - [j11]Loris Nanni
Building Ensemble of Deep Networks: Convolutional Networks and Transformers. IEEE Access 11: 124962-124974 (2023) - [j10]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): 521-535 (2023) - [j9]Alfonso Emilio Gerevini
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies. J. Artif. Intell. Res. 78: 527-577 (2023) - [j8]Loris Nanni
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies. J. Imaging 9(2): 35 (2023) - [j7]Loris Nanni
Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation. Sensors 23(10): 4688 (2023) - [c32]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 - [c31]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: 7158-7162 - [e5]Marianna Bergamaschi Ganapini, Lior Horesh, Luís C. Lamb, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, a AAAI 2022 Fall Symposium, Westin Arlington Gateway in Arlington, Virginia, November 17-19, 2022. CEUR Workshop Proceedings 3332, CEUR-WS.org 2023 [contents] - [e4]Marianna Bergamaschi Ganapini, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, August 21, 2023., Macao, August 21, 2023. CEUR Workshop Proceedings 3547, CEUR-WS.org 2023 [contents] - [d1]Andrea Loreggia
Chiller simulated and real-world data. IEEE DataPort, 2023 - [i18]Francesco Fabiano
Fast and Slow Planning. CoRR abs/2303.04283 (2023) - [i17]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 abs/2305.16151 (2023) - [i16]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 abs/2307.07628 (2023) - [i15]Thiago Raulino Dal Pont, Federico Galli, Andrea Loreggia, Giuseppe Pisano, Riccardo Rovatti, Giovanni Sartor:
Legal Summarisation through LLMs: The PRODIGIT Project. CoRR abs/2308.04416 (2023) - 2022
- [j6]Andrea Loreggia
Simulating Floating Head Pressure Control With Artificial Intelligence. IEEE Access 10: 125963-125971 (2022) - [j5]Andrea Loreggia, Roberta Calegari, Emiliano Lorini, Francesca Rossi, Giovanni Sartor
How to model contrary-to-duty with GCP-nets. Intelligenza Artificiale 16(2): 185-198 (2022) - [j4]Andrea Loreggia, Emiliano Lorini, Giovanni Sartor
Modelling Ceteris Paribus Preferences with Deontic Logic. J. Log. Comput. 32(2): 347-368 (2022) - [c30]Andrea Loreggia, Simone Mosco, Alberto Zerbinati:
SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents. AAAI 2022: 13191-13193 - [c29]Andrea Loreggia, Nicholas Mattei
Making Human-Like Moral Decisions. AIES 2022: 447-454 - [c28]Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis. AAMAS 2022: 1929-1931 - [c27]Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni:
Deep Semantic Segmentation in Skin Detection. ESANN 2022 - [c26]Andrea Loreggia, Anna Passarelli, Maria Silvia Pini:
The Influence of Environmental Factors on the Spread of COVID-19 in Italy. KES 2022: 573-582 - [c25]Marianna Bergamaschi Ganapini, Murray Campbell
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) 2022: 502-509 - [c24]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: 171-185 - [c23]Alberto Zerbinati, Andrea Loreggia, Giuseppe Contissa, Federico Galli, Francesca Lagioia, Giovanni Sartor:
SenTag 2.0: A Cooperative Annotation Tool. ISWC (Posters/Demos/Industry) 2022 - [e3]Patrizia Feletig, Andrea Loreggia, Stefano Quintarelli:
Proceedings of the Second International Forum on Digital and Democracy November 17-18, 2022, live and digital event in Rome, Italy, November 17-18, 2022, live and digital event in Rome, Italy. CEUR Workshop Proceedings 3289, CEUR-WS.org 2022 [contents] - [i14]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 abs/2201.07050 (2022) - [i13]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 abs/2201.07763 (2022) - [i12]Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable:
Learning Behavioral Soft Constraints from Demonstrations. CoRR abs/2202.10407 (2022) - [i11]Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano
Plansformer: Generating Symbolic Plans using Transformers. CoRR abs/2212.08681 (2022) - 2021
- [j3]Cristina Cornelio
Voting with random classifiers (VORACE): theoretical and experimental analysis. Auton. Agents Multi Agent Syst. 35(2): 22 (2021) - [c22]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: 15042-15046 - [c21]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 - [c20]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 - [i10]Andrea Loreggia, Anna Passarelli:
The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach. CoRR abs/2104.12546 (2021) - [i9]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 abs/2109.11018 (2021) - [i8]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 abs/2110.01834 (2021) - [i7]Andrea Loreggia, Simone Mosco, Alberto Zerbinati:
SenTag: a Web-based Tool for Semantic Annotation of Textual Documents. CoRR abs/2110.15062 (2021) - [i6]Loris Nanni, Daniela Cuza, Alessandra Lumini, Andrea Loreggia, Sheryl Brahnam:
Deep ensembles in bioimage segmentation. CoRR abs/2112.12955 (2021) - 2020
- [c19]Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Classifiers (VORACE). AAMAS 2020: 1822-1824 - [c18]Andrea Loreggia, Emiliano Lorini, Giovanni Sartor:
A Ceteris Paribus Deontic Logic. CILC 2020: 248-262 - [c17]Andrea Loreggia, Emiliano Lorini, Giovanni Sartor:
A Novel Approach For a Ceteris Paribus Deontic Logic. EKAW (Posters & Demos) 2020: 12-16 - [c16]Andrea Loreggia, Nicholas Mattei, Stefano Quintarelli:
Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda. IFDaD 2020: 24-33 - [c15]Giovanni Iacca
A Genetic Approach to the Ethical Knob. JURIX 2020: 103-112 - [e2]Patrizia Feletig, Andrea Loreggia, Andrea Resca, Stefano Quintarelli:
Proceedings of the First International Forum on Digital and Democracy. Towards A Sustainable Evolution 2020, Venice, Italy, December 10-11, 2020. CEUR Workshop Proceedings 2781, CEUR-WS.org 2020 [contents] - [i5]Roberta Calegari, Andrea Loreggia, Emiliano Lorini, Francesca Rossi, Giovanni Sartor:
Modeling Contrary-to-Duty with CP-nets. CoRR abs/2003.10480 (2020) - [i4]Grady Booch, Francesco Fabiano
Thinking Fast and Slow in AI. CoRR abs/2010.06002 (2020)
2010 – 2019
- 2019
- [c14]Francesca Rossi, Andrea Loreggia:
Preferences and Ethical Priorities: Thinking Fast and Slow in AI. AAMAS 2019: 3-4 - [c13]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Metric Learning for Value Alignment. AISafety@IJCAI 2019 - [c12]Andrea Loreggia
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. IJCAI 2019: 217-234 - [i3]Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Classifiers (VORACE). CoRR abs/1909.08996 (2019) - 2018
- [c11]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Preferences and Ethical Principles in Decision Making. AAAI Spring Symposia 2018 - [c10]Andrea Loreggia, Nicholas Mattei
Preferences and Ethical Principles in Decision Making. AIES 2018: 222 - [c9]Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Neural Networks: a Democratic Ensemble Classifier. RiCeRcA@AI*IA 2018 - [c8]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
On the Distance Between CP-nets. AAMAS 2018: 955-963 - [i2]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences. CoRR abs/1809.08350 (2018) - 2017
- [c7]Andrea Loreggia, Francesca Rossi, Kristen Brent Venable:
Modelling Ethical Theories Compactly. AAAI Workshops 2017 - 2016
- [j2]Umberto Grandi, Andrea Loreggia
A Borda count for collective sentiment analysis. Ann. Math. Artif. Intell. 77(3-4): 281-302 (2016) - [c6]Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat:
Deep Learning for Algorithm Portfolios. AAAI 2016: 1280-1286 - 2015
- [c5]Andrea Loreggia, Nina Narodytska, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Controlling Elections by Replacing Candidates or Votes. AAMAS 2015: 1737-1738 - [e1]Luigi Di Caro, Carmine Dodaro, Andrea Loreggia, Roberto Navigli, Alan Perotti, Manuela Sanguinetti:
Proceedings of the Second Doctoral Workshop in Artificial Intelligence (DWAI 2014) An official workshop of the 13th Symposium of the Italian Association for Artificial Intelligence "Artificial Intelligence for Society and Economy" (AI*IA 2014), Pisa, Italy, December 11, 2014. CEUR Workshop Proceedings 1334, CEUR-WS.org 2015 [contents] - [i1]Cristina Cornelio, Andrea Loreggia, Vijay A. Saraswat:
Logical Conditional Preference Theories. CoRR abs/1504.06374 (2015) - 2014
- [j1]Andrea Loreggia
Iterative voting and multi-mode control in preference aggregation. Intelligenza Artificiale 8(1): 39-51 (2014) - [c4]Andrea Loreggia, Nina Narodytska, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Controlling Elections by Replacing Candidates: Theoretical and Experimental Results. MPREF@AAAI 2014 - [c3]Umberto Grandi, Andrea Loreggia, Francesca Rossi, Vijay A. Saraswat:
From Sentiment Analysis to Preference Aggregation. ISAIM 2014 - 2013
- [c2]Umberto Grandi, Andrea Loreggia, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score. ADT 2013: 181-192 - [c1]Umberto Grandi, Andrea Loreggia, Francesca Rossi, Kristen Brent Venable, Toby Walsh:
Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency. SR 2013: 17-24
Coauthor Index
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last updated on 2024-12-10 21:46 CET by the dblp team
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