Author

José L. Ayala

Universidad Complutense de MadridORCID 0000-0001-7236-5330Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fernando J. Gómez-Márquez· 1 shared Jorge Radlowski NovaiD· 1 shared Jose-L. Risco· 1 shared Juan Ignacio López‐CarboneroiD· 1 shared Silvia CorrochanoiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Fernando J. Gómez-Márquez

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 25, 2026

Compact longitudinal representations derived from mixed-format lifestyle questionnaires outperform static text-derived features for ALS-versus-control classification

Jorge Radlowski Nova, Juan Ignacio López‐Carbonero, Fernando J. Gómez-Márquez…·José L. Ayala

This study compares feature configurations from mixed-format lifestyle questionnaires for ALS classification, finding that compact longitudinal representations outperform static text features.

DOI 10.64898/2026.03.23.713709

machine learning (classical)benchmarking

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