Andrea Loreggia

Orcid: 0000-0002-9846-0157

Affiliations:
  • University of Brescia, Italy


According to our database1, Andrea Loreggia authored at least 57 papers between 2013 and 2024.

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Bibliography

2024
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).
CoRR, 2024

2023
A principle-based approach to AI: the case for European Union and Italy.
AI Soc., April, 2023

Chiller simulated and real-world data.
Dataset, January, 2023

Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation.
Sensors, 2023

A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies.
J. Imaging, 2023

Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies.
J. Artif. Intell. Res., 2023

Legal Summarisation through LLMs: The PRODIGIT Project.
CoRR, 2023

Understanding the Capabilities of Large Language Models for Automated Planning.
CoRR, 2023

Fast and Slow Planning.
CoRR, 2023

Building Ensemble of Deep Networks: Convolutional Networks and Transformers.
IEEE Access, 2023

Varied Image Data Augmentation Methods for Building Ensemble.
IEEE Access, 2023

Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Value-based Fast and Slow AI Nudging.
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, 2023

2022
Modelling Ceteris Paribus Preferences with Deontic Logic.
J. Log. Comput., 2022

How to model contrary-to-duty with GCP-nets.
Intelligenza Artificiale, 2022

Plansformer: Generating Symbolic Plans using Transformers.
CoRR, 2022

Learning Behavioral Soft Constraints from Demonstrations.
CoRR, 2022

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data.
CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.
CoRR, 2022

Simulating Floating Head Pressure Control With Artificial Intelligence.
IEEE Access, 2022

SenTag 2.0: A Cooperative Annotation Tool.
Proceedings of the ISWC 2022 Posters, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Thinking Fast and Slow in AI: The Role of Metacognition.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

The Influence of Environmental Factors on the Spread of COVID-19 in Italy.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Deep Semantic Segmentation in Skin Detection.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Making Human-Like Moral Decisions.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep ensembles in bioimage segmentation.
CoRR, 2021

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations.
CoRR, 2021

The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach.
CoRR, 2021

Voting with random classifiers (VORACE): theoretical and experimental analysis.
Auton. Agents Multi Agent Syst., 2021

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Epistemic Planning in a Fast and Slow Setting.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Thinking Fast and Slow in AI.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Modeling Contrary-to-Duty with CP-nets.
CoRR, 2020

A Genetic Approach to the Ethical Knob.
Proceedings of the Legal Knowledge and Information Systems, 2020

Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda.
Proceedings of the First International Forum on Digital and Democracy. Towards A Sustainable Evolution 2020, 2020

A Novel Approach For a Ceteris Paribus Deontic Logic.
Proceedings of the EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), 2020

A Ceteris Paribus Deontic Logic.
Proceedings of the 35th Italian Conference on Computational Logic, 2020

Voting with Random Classifiers (VORACE).
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Metric Learning for Value Alignment.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Preferences and Ethical Priorities: Thinking Fast and Slow in AI.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences.
CoRR, 2018

On the Distance Between CP-nets.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Voting with Random Neural Networks: a Democratic Ensemble Classifier.
Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence, 2018

Preferences and Ethical Principles in Decision Making.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Modelling Ethical Theories Compactly.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Borda count for collective sentiment analysis.
Ann. Math. Artif. Intell., 2016

Deep Learning for Algorithm Portfolios.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Logical Conditional Preference Theories.
CoRR, 2015

Controlling Elections by Replacing Candidates or Votes.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Iterative voting and multi-mode control in preference aggregation.
Intelligenza Artificiale, 2014

From Sentiment Analysis to Preference Aggregation.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014

Controlling Elections by Replacing Candidates: Theoretical and Experimental Results.
Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013
Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
Proceedings of the Proceedings 1st International Workshop on Strategic Reasoning, 2013

Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score.
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013


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