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20232026
most citedAre Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers

9 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Bridging Domains through Subspace-Aware Model Merging

Levy Chaves, Chao Zhou, Rebekka Burkholz +2

Model merging integrates multiple task-specific models into a single consolidated one. Recent research has made progress in improving merging performance for in-distribution or mul…

cs.LG2025

Weight Weaving: Parameter Pooling for Data-Free Model Merging

Levy Chaves, Eduardo Valle, Sandra Avila

Model merging provides a cost-effective and data-efficient combination of specialized deep neural networks through parameter integration. This technique leverages expert models acr…

cs.CV2024★ 9 cited

Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers

Rosa Y. G. Paccotacya-Yanque, Alceu Bissoto, Sandra Avila

Deep Learning has shown outstanding results in computer vision tasks; healthcare is no exception. However, there is no straightforward way to expose the decision-making process of…

cs.LG2024

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…

cs.CV2023★ 6 cited

Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions

Luana Barros, Levy Chaves, Sandra Avila

Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. D…