A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

VÍCTOR MANUEL VARGAS YUNCESAR HERVAS MARTINEZPEDRO ANTONIO GUTIÉRREZ PEÑA2026-01-292026-01-29202310.1016/j.engappai.2023.1064632-s2.0-85160004575https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/36435Artificial IntelligenceControl and Systems EngineeringElectrical and Electronic EngineeringA hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log dataresearch article