3 papers
cs.LG2025
MLASDO: a software tool to detect and explain clinical and omics inconsistencies applied to the Parkinson's Progression Markers Initiative cohort
José A. Pardo, Tomás Bernal, Jaime Ãiguez +5
Inconsistencies between clinical and omics data may arise within medical cohorts. The identification, annotation and explanation of anomalous omics-based patients or individuals ma…
cs.CL2025
Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding Models
José A. Pardo, Alicia Gómez-Pascual, José T. Palma +1
The growing volume of omics and clinical data generated for neurodegenerative diseases (NDs) requires new approaches for their curation so they can be ready-to-use in bioinformatic…
cs.LG2025
FILM: Framework for Imbalanced Learning Machines based on a new unbiased performance measure and a new ensemble-based technique
Antonio Guillén-Teruel, Marcos Caracena, Jose A. Pardo +3
This research addresses the challenges of handling unbalanced datasets for binary classification tasks. In such scenarios, standard evaluation metrics are often biased by the dispr…