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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
Description: Dostopno z geslom
.pdf PDF - Presentation file, download (935,67 KB)
MD5: 2989A70DAD1C46D5FD5E5E25C9C4A671
Typology:1.08 - Published Scientific Conference Contribution
Organization:Logo IJS - Jožef Stefan Institute
Keywords:algorithms, predictive models, machine learning
Publication status in journal:Published
Article version:Postprint, final article version, accepted into publication
Publication date:24.07.2023
Year of publishing:2023
Number of pages:Str. 311-314
PID:20.500.12556/DiRROS-17001 New window
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
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Record is a part of a monograph

Title:GECCO'23 companion
Subtitle:proceedings of the Genetic and Evolutionary Computation Conference Companion
Place of publishing:New York
Publisher:ǂThe ǂAssociation for Computing Machinery
COBISS.SI-ID:160914179 New window