3 papers
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez, Carlos Martínez-Cortés
While predictive accuracy is often prioritized in machine learning (ML) models, interpretability remains essential in scientific and high-stakes domains. However, diverse interpret…
Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
Antonio Jesús Banegas-Luna, Baldomero Imbernón Tudela, Carlos Martínez-Cortés +2
Virtual screening (VS) is a computationally intensive process crucial for drug discovery, often requiring significant resources to analyze large chemical libraries and predict liga…
Fighting the disagreement in Explainable Machine Learning with consensus
Antonio Jesus Banegas-Luna, Carlos Martınez-Cortes, Horacio Perez-Sanchez
Machine learning (ML) models are often valued by the accuracy of their predictions. However, in some areas of science, the inner workings of models are as relevant as their accurac…