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

1 code implementation • 17 May 2023 • Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez

To fill this gap, we present a predictive model based on a convolutional kernel (MiniROCKET and HYDRA) to extract features from the original event-log data and a linear classifier to classify the sample based on the learned features.

Scheduling Time Series Classification