Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics

N. Bacanin; A. Petrovic; M. Zivkovic; T. Bezdan; M. Antonijevic

Results

eNauka > Results > Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics

Title:	Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics
Authors:	N. Bacanin ; A. Petrovic ; M. Zivkovic ; T. Bezdan ; M. Antonijevic
Issue Date:	2021
Publication:	CCIS Communications in Computer and Information Science: ICACDS 2021: Advances in Computing and Data Sciences, volume 1440
Publisher:	Springer, Cham
Type:	Book parts
Collation:	str. 604-616
DOI:	10.1007/978-3-030-81462-5_53
WoS-ID:	000849726900053
Scopus-ID:	2-s2.0-85118992641
URI:	http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/8471 https://enauka.gov.rs/handle/123456789/716542
URL:	https://link.springer.com/chapter/10.1007/978-3-030-81462-5_53
M-category:	Mp. category will be shown later

25
SCOPUS^TM

9
OpenCitations

5
WEB OF SCIENCE^TM

Altmetric

Dimensions

Find the DOI

Finding a DOI in CrossRef based on publication meta-data. The DOI (and metadata) with the similar data match will be displayed. ATTENTION - it doesn't have to be that publication.

Unpaywall

Google Scholar^TM