id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hjic-1262	Palotai, Balázs; Kis, Gábor; Chován, Tibor; Bárkányi, Ágnes	Online Learning for Surrogate Model Maintenance	2025	7	.pdf	application/pdf	4305	202	40	This paper presents an MLOps-aligned online surrogate calibration method that maintains and improves surrogate model accuracy by dynamically incorporating localized operational data. Figure 9: Comparison of the accuracy of the base model and hybrid learning model with regard to the online test data ONLINE LEARNING FOR SURROGATE MODEL MAINTENANCE 53(2) pp.	cache/hjic-1262.pdf	txt/hjic-1262.txt