id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fueconorg-7072	Radović, Ognjen; Marinković, Srđan; Radojičić, Jelena	CREDIT SCORING WITH AN ENSEMBLE DEEP LEARNING CLASSIFICATION METHODS – COMPARISON WITH TRADITIONAL METHODS	2021	15	.pdf	application/pdf	7463	394	46	Advances in information technology facilitate further development of credit scoring models for making objective and quick decisions (Thomas, Crook, & Edelman, 2002). Credit scoring models can be applied to analyze the behavior of already existing clients, and then the score represents a numerical summary of the bank’s experience with the client (behavior scoring) (Hui, Li, & Zongfang, 2017).	cache/fueconorg-7072.pdf	txt/fueconorg-7072.txt