Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Baysal, Y. A., Ketenci, S., Altas, I. H., & Kayikcioglu, T. (2021). Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces. Expert Systems With Applications, 165. https://doi.org/10.1016/j.eswa.2020.113907

ISO-690 (author-date, English)

BAYSAL, Yesim A., KETENCI, Seniha, ALTAS, Ismail H. und KAYIKCIOGLU, Temel, 2021. Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces. Expert Systems With Applications. 1 März 2021. Vol. 165, , . DOI 10.1016/j.eswa.2020.113907.

Modern Language Association 9th edition

Baysal, Y. A., S. Ketenci, I. H. Altas, und T. Kayikcioglu. „Multi-Objective Symbiotic Organism Search Algorithm for Optimal Feature Selection in Brain Computer Interfaces“. Expert Systems With Applications, Bd. 165, März 2021, https://doi.org/10.1016/j.eswa.2020.113907.

Mohr Siebeck - Recht (Deutsch - Österreich)

Baysal, Yesim A./Ketenci, Seniha/Altas, Ismail H./Kayikcioglu, Temel: Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces, Expert Systems With Applications 2021,

Emerald - Harvard

Baysal, Y.A., Ketenci, S., Altas, I.H. und Kayikcioglu, T. (2021), „Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces“, Expert Systems With Applications, Vol. 165, verfügbar unter:https://doi.org/10.1016/j.eswa.2020.113907.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.