research
∙
08/09/2023
Automated Driving Without Ethics: Meaning, Design and Real-World Implementation
The ethics of automated vehicles (AV) has received a great amount of att...
share
research
∙
09/26/2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Although Deep Neural Networks (DNNs) have great generalization and predi...
research
∙
04/29/2021
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics
The COVID-19 pandemic has spurred a large amount of observational studie...
research
∙
05/06/2020
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies
An important current challenge in Human-Robot Interaction (HRI) is to en...
research
∙
04/30/2020
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learn
Taking inspiration from how the brain coordinates multiple learning syst...
research
∙
10/22/2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
In the last years, Artificial Intelligence (AI) has achieved a notable m...
research
∙
09/19/2019