Results

eNauka >  Results >  Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages
Title: Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages
Authors : Nedeljkovic Zeljko; Milosevic Milana; Đurović, Željko M.  
Issue Date: 2020
Publication: ARCHIVES OF ACOUSTICS
ISSN: 0137-5075 Archives of Acoustics Search Idenfier
Publisher: POLSKA AKAD NAUK, POLISH ACAD SCIENCES, INST FUNDAMENTAL TECH RES PAS
Type: Article
Collation: vol. 45 br. 1 str. 129-140
DOI: 10.24425/aoa.2020.132489
WoS-ID: 000517763200014
Scopus-ID: 2-s2.0-85081912063
URI: https://enauka.gov.rs/handle/123456789/168890
http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/707896
Metadata source: Migracija
M-category: 
23M23

5
SCOPUSTM
4
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.