1 citations · 2 across the 4 of their papers we have counts for
5 papers
Learning Causal Normalizing Flows from Incomplete Data via Observed-Data Likelihood
Trung-Dung Hoang, Alceu Bissoto, Tim Flühmann +4
Causal Normalizing Flows (CNFs) enable causal inference from observational data given the causal structure, but they assume fully observed training data. We introduce MissCNF, whic…
Back to the Basics on Predicting Transfer Performance
Levy Chaves, Eduardo Valle, Alceu Bissoto +1
In the evolving landscape of deep learning, selecting the best pre-trained models from a growing number of choices is a challenge. Transferability scorers propose alleviating this…
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
Tiago Mota, M. Rita Verdelho, Alceu Bissoto +2
The acquisition of different data modalities can enhance our knowledge and understanding of various diseases, paving the way for a more personalized healthcare. Thus, medicine is p…
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
Diogo J. Araújo, M. Rita Verdelho, Alceu Bissoto +3
Deep learning models have revolutionized the field of medical image analysis, due to their outstanding performances. However, they are sensitive to spurious correlations, often tak…
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
Miguel Correia, Alceu Bissoto, Carlos Santiago +1
Skin cancer detection through dermoscopy image analysis is a critical task. However, existing models used for this purpose often lack interpretability and reliability, raising the…