Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

SEBASTIAN EMILIO VENTURA SOTO2026-01-292026-01-29201510.1016/j.neucom.2015.02.0452-s2.0-84929046471https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/26094Artificial IntelligenceCognitive NeuroscienceComputer Science ApplicationsArtificial IntelligenceCognitive NeuroscienceComputer Science ApplicationsScalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning contextresearch article