10 citations · 11 across the 3 of their papers we have counts for
3 papers
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
Gianluca Carloni, Sotirios A Tsaftaris, Sara Colantonio
Due to domain shift, deep learning image classifiers perform poorly when applied to a domain different from the training one. For instance, a classifier trained on chest X-ray (CXR…
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
Gianluca Carloni, Eva Pachetti, Sara Colantonio
In this paper, we present a novel method to automatically classify medical images that learns and leverages weak causal signals in the image. Our framework consists of a convolutio…
The role of causality in explainable artificial intelligence
Gianluca Carloni, Andrea Berti, Sara Colantonio
Causality and eXplainable Artificial Intelligence (XAI) have developed as separate fields in computer science, even though the underlying concepts of causation and explanation shar…