A new approach for optimal time-series segmentation

FRANCISCO JOSE MADRID CUEVASNICOLAS LUIS FERNANDEZ GARCIAANGEL CARMONA POYATO2026-01-292026-01-29202010.1016/j.patrec.2020.04.0062-s2.0-85084177037https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/31696Artificial IntelligenceComputer Vision and Pattern RecognitionSignal ProcessingSoftwareA new approach for optimal time-series segmentationresearch article