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eNauka >  Results >  Tuning XGBoost Model for Twitter Sexism Detection Utilizing Gensim and Modified Particle Swarm Optimization Algorithm, Chapter in LNEE Lecture Notes in Electrical Engineering: ICMEET 2025: Evolution in Signal Processing and Telecommunication Networks, Springer, volume 1601
Title: Tuning XGBoost Model for Twitter Sexism Detection Utilizing Gensim and Modified Particle Swarm Optimization Algorithm, Chapter in LNEE Lecture Notes in Electrical Engineering: ICMEET 2025: Evolution in Signal Processing and Telecommunication Networks, Springer, volume 1601
Authors: E. Jeremic Markovic; I. Kosta; Z. Krsmanovic; S. Anetic; M. Zivkovic  ; T. Zivkovic  ; B. Radomirovic; N. Bacanin  
Issue Date: 2026
Publication: LNEE Lecture Notes in Electrical Engineering: ICMEET 2025: Proceedings of Tenth International Conference on Microelectronics Electromagnetics and Telecommunications, volume 1601
ISSN: 1876-1100 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 100-113
DOI: 10.1007/978-3-032-20544-5_10
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11958
https://link.springer.com/chapter/10.1007/978-3-032-20544-5_10
https://enauka.gov.rs/handle/123456789/1040889
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