Identifying and understanding student dropouts using metaheuristic optimized classifiers and explainable artificial intelligence techniques

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Title:	Identifying and understanding student dropouts using metaheuristic optimized classifiers and explainable artificial intelligence techniques
Authors:	G. Radic; L. Jovanovic ; N. Bacanin ; M. Stankovic ; V. Simic ; M. Antonijevic ; M. Zivkovic
Issue Date:	2024
Publication:	IEEE Access
ISSN:	2169-3536 IEEE Access Search Idenfier
Publisher:	IEEE
Type:	Article
Collation:	str. 122377-122400
DOI:	10.1109/ACCESS.2024.3446653
WoS-ID:	001311198400001
Scopus-ID:	2-s2.0-85201778450
URI:	https://enauka.gov.rs/handle/123456789/930660 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10122
URL:	https://ieeexplore.ieee.org/document/10640075
Project:	Science Fund of the Republic of Serbia [7373] Characterizing crises-caused air pollution alternations using an artificial intelligence-based framework-crAIRsis [7502] Intelligent Multi-Agent Control and Optimization applied to Green Buildings and Environmental Monitoring Drone Swarms-ECOSwarm
Note:	Tekst je dostupan ali nije otključan
M-category:	21M21

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