3 papers
cs.LG2025
Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
Lucas Cardoso, Vitor Santos, José Ribeiro +3
Benchmarking is a fundamental practice in machine learning (ML) for comparing the performance of classification algorithms. However, traditional evaluation methods often overlook a…
cs.LG2024
Standing on the shoulders of giants
Lucas Felipe Ferraro Cardoso, José de Sousa Ribeiro Filho, Vitor Cirilo Araujo Santos +2
Although fundamental to the advancement of Machine Learning, the classic evaluation metrics extracted from the confusion matrix, such as precision and F1, are limited. Such metrics…
cs.LG2024
How Reliable and Stable are Explanations of XAI Methods?
José Ribeiro, Lucas Cardoso, Vitor Santos +3
Black box models are increasingly being used in the daily lives of human beings living in society. Along with this increase, there has been the emergence of Explainable Artificial…