5 citations · 10 across the 4 of their papers we have counts for
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cs.LG2024
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal +5
This paper presents a comprehensive study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest and XGBoost models…
cs.LG2019★ 5 cited
A Convolutional Network for Sleep Stages Classification
Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Alvarez-Estevez +1
Sleep stages classification is a crucial task in the context of sleep studies. It involves the simultaneous analysis of multiple signals recorded during sleep. However, it is compl…