STAD-FEBTE, a shallow and supervised framework for time series anomaly detection by automatic feature engineering, balancing, and tree-based ensembles: An industrial case study. - M. A. Zakeri Harandi; Chen Li 009; Casper Schou; Sigurd L. Villumsen; Simon Bøgh; Ole Madsen (AIM, 2023)