Author
Universidad Carlos III de MadridORCID 0000-0001-7702-8747Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Lucía Schmidt-Santiago, Inés López-Mareca, Mario Blázquez‐Sánchez…·Alejandro Guerrero-López
The paper introduces a large MALDI-TOF MS dataset from Spain to support AI-driven clinical microbiology research and improve antimicrobial resistance detection.
Alejandro Guerrero-López, Mario Blázquez‐Sánchez, Lucía Bravo-Antón…·Vanessa Gómez-Verdejo
This study improves ML-based C. difficile typing from MALDI-TOF MS spectra by using data augmentation to reduce performance variability across different experimental conditions.
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka, Alzheimer’s Disease Neuroimaging Initiative
The paper introduces a feature selection and extraction method for multiclass brain imaging problems, reducing feature dimensions while improving classification performance.
Alzheimer’s Disease Neuroimaging Initiative, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
This paper introduces sign-consistency bagging (SCB) for variable importance in brain imaging, showing improved reproducibility and classification accuracy compared to existing methods.
Marta Gómez-Sancho, Jussi Tohka, Vanessa Gómez-Verdejo, for the Alzheimer’s Disease Neuroimaging Initiative
This study compares MRI-based feature representations for predicting MCI-to-AD conversion, finding regional features perform best but without significant statistical differences.