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eNauka >  Results >  Optimizing XGBoost for Cyberbullying Detection Using Word2Vec and Modified Reptile Search Algorithm, Chapter in LNNS Lecture Notes in Networks and Systems: CIS 2025: Sixth Congress on Intelligent Systems, Springer, volume 1825
Title: Optimizing XGBoost for Cyberbullying Detection Using Word2Vec and Modified Reptile Search Algorithm, Chapter in LNNS Lecture Notes in Networks and Systems: CIS 2025: Sixth Congress on Intelligent Systems, Springer, volume 1825
Authors: K. Milojkovic; P. Spalevic; M. Mihajlovic; V. Zeljkovic; B. Radomirovic; M. Zivkovic  ; S. Anetic; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: CIS 2025: Conference proceedings of Sixth Congress on Intelligent Systems, volume 1825
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 186-202
DOI: 10.1007/978-3-032-18132-9_14
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11988
https://link.springer.com/chapter/10.1007/978-3-032-18132-9_14
https://enauka.gov.rs/handle/123456789/1041569
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