An ensemble-based approach for multi-view multi-label classification

EVA LUCRECIA GIBAJA GALINDOSEBASTIAN EMILIO VENTURA SOTOJOSE MARÍA MOYANO MURILLO2026-01-292026-01-29201610.1007/s13748-016-0098-92-s2.0-85030423994https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/28464Artificial IntelligenceAn ensemble-based approach for multi-view multi-label classificationresearch article