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Title:Assessing the generalizability of a performance predictive model
Authors:ID Nikolikj, Ana, Institut Jožef Stefan (Author)
ID Cenikj, Gjorgjina, Institut Jožef Stefan (Author)
ID Ispirova, Gordana, Institut Jožef Stefan (Author)
ID Vermetten, Diederick (Author)
ID Dieter Lang, Ryan (Author)
ID Engelbrecht, Andries Petrus (Author)
ID Doerr, Carola (Author)
ID Korošec, Peter, Institut Jožef Stefan (Author)
ID Eftimov, Tome, Institut Jožef Stefan (Author)
Files:URL URL - Source URL, visit https://dl.acm.org/doi/10.1145/3583133.3590617
Description: Dostopno z geslom
 
.pdf PDF - Presentation file, download (935,67 KB)
MD5: 2989A70DAD1C46D5FD5E5E25C9C4A671
 
Language:English
Typology:1.08 - Published Scientific Conference Contribution
Organization:Logo IJS - Jožef Stefan Institute
Keywords:algorithms, predictive models, machine learning
Publication status:Published
Publication version:Author Accepted Manuscript
Publication date:24.07.2023
Publisher:ACM
Year of publishing:2023
Number of pages:Str. 311-314
Source:ZDA
PID:20.500.12556/DiRROS-17001 New window
UDC:004.8
DOI:10.1145/3583133.3590617 New window
COBISS.SI-ID:162992131 New window
Copyright:Copyright © 2023 Owner/Author(s)
Note:Nasl. z nasl. zaslona; Soavtorji iz Slovenije: Gjorgjina Cenikj, Gordana Ispirova, Peter Korošec, Tome Eftimov; Opis vira z dne 1. 9. 2023;
Publication date in DiRROS:15.09.2023
Views:1073
Downloads:591
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NIKOLIKJ, Ana, CENIKJ, Gjorgjina, ISPIROVA, Gordana, VERMETTEN, Diederick, DIETER LANG, Ryan, ENGELBRECHT, Andries Petrus, DOERR, Carola, KOROŠEC, Peter and EFTIMOV, Tome, 2023, Assessing the generalizability of a performance predictive model. In : GECCO’23 companion [online]. Published Scientific Conference Contribution. New York : ACM. 2023. p. 311–314. [Accessed 26 April 2025]. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=17001
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Record is a part of a monograph

Title:GECCO'23 companion : proceedings of the Genetic and Evolutionary Computation Conference Companion
Place of publishing:New York
Publisher:The Association for Computing Machinery
ISBN:979-8-4007-0120-7
COBISS.SI-ID:160914179 New window

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