The analysis of hybrid brain storm optimisation approaches in feature selection

dc.contributor.author	Simic, D.
dc.contributor.author	Bankovic, Z.
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Calvo Rolle, José Luis
dc.contributor.author	Simic, S. D.
dc.contributor.author	Simic, S.
dc.date.accessioned	2024-04-18T07:21:40Z
dc.date.available	2024-04-18T07:21:40Z
dc.date.issued	2023
dc.identifier.isbn	978-303140724-6
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/10651/72304
dc.description	International Conference on Hybrid Artificial Intelligence Systems, HAIS 2023 (18th. 2023. Salamanca)
dc.format.extent	p. 469-480
dc.language.iso	eng
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights	© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172227162&doi=10.1007%2f978-3-031-40725-3_40&partnerID=40&md5=838860a8c1ef1d2c580730841a45f0c6
dc.title	The analysis of hybrid brain storm optimisation approaches in feature selection
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-40725-3_40
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-40725-3_40

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.