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08/04/2023
Legal Summarisation through LLMs: The PRODIGIT Project
We present some initial results of a large-scale Italian project called ...
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07/14/2023
Value-based Fast and Slow AI Nudging
Nudging is a behavioral strategy aimed at influencing people's thoughts ...
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05/25/2023
Understanding the Capabilities of Large Language Models for Automated Planning
Automated planning is concerned with developing efficient algorithms to ...
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03/07/2023
Fast and Slow Planning
The concept of Artificial Intelligence has gained a lot of attention ove...
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12/16/2022
Plansformer: Generating Symbolic Plans using Transformers
Large Language Models (LLMs) have been the subject of active research, s...
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02/21/2022
Learning Behavioral Soft Constraints from Demonstrations
Many real-life scenarios require humans to make difficult trade-offs: do...
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01/19/2022
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
One of the most remarkable things about the human moral mind is its flex...
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01/18/2022
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
Current AI systems lack several important human capabilities, such as ad...
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12/24/2021
Deep ensembles in bioimage segmentation
Semantic segmentation consists in classifying each pixel of an image by ...
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10/05/2021
Thinking Fast and Slow in AI: the Role of Metacognition
AI systems have seen dramatic advancement in recent years, bringing many...
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09/22/2021
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Many real-life scenarios require humans to make difficult trade-offs: do...
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09/16/2021
SenTag: a Web-based Tool for Semantic Annotation of Textual Documents
In this work, we present SenTag, a lightweight web-based tool focused on...
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04/09/2021
The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach
The COVID-19 pandemic considerably affects public health systems around ...
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10/12/2020
Thinking Fast and Slow in AI
This paper proposes a research direction to advance AI which draws inspi...
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03/23/2020
Modeling Contrary-to-Duty with CP-nets
In a ceteris-paribus semantics for deontic logic, a state of affairs whe...
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09/18/2019
Voting with Random Classifiers (VORACE)
In many machine learning scenarios, looking for the best classifier that...
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09/21/2018
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences
Preference are central to decision making by both machines and humans. R...
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04/24/2015
Logical Conditional Preference Theories
CP-nets represent the dominant existing framework for expressing qualita...
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03/04/2013
