Rezultati

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
WoS-ID 001793675500014
Scopus-ID 2-s2.0-105041142863
URI: https://enauka.gov.rs/handle/123456789/1041569
https://link.springer.com/chapter/10.1007/978-3-032-18132-9_14
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11988
M-category: 
Mp. category will be shown later

Alt metrika
Dimensions
Unpaywall

Google ScholarTM

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.