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2020 – today
- 2024
[c11]Moritz Seiler
, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann:
Learned Features vs. Classical ELA on Affine BBOB Functions. PPSN (2) 2024: 137-153- 2023
- [c10]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML 2023: 11/1-17 - [c9]Urban Skvorc, Tome Eftimov, Peter Korosec:
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI 2023: 335-340 - [i2]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR abs/2310.10685 (2023) - 2022
- [c8]Urban Skvorc, Tome Eftimov, Peter Korosec:
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC 2022: 1-8 - 2021
- [c7]Urban Skvorc, Tome Eftimov, Peter Korosec:
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC 2021: 1139-1146 - [c6]Urban Skvorc, Tome Eftimov, Peter Korosec:
A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion 2021: 215-216 - [i1]Urban Skvorc, Tome Eftimov, Peter Korosec:
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR abs/2104.13060 (2021) - 2020
- [j1]Urban Skvorc, Tome Eftimov, Peter Korosec:
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. 90: 106138 (2020) - [c5]Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec:
Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion 2020: 5-6 - [c4]Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec:
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion 2020: 7-8 - [c3]Urban Skvorc, Tome Eftimov, Peter Korosec:
Using exploratory landscape analysis to visualize single-objective problems. GECCO Companion 2020: 27-28
2010 – 2019
- 2019
- [c2]Urban Skvorc, Tome Eftimov, Peter Korosec:
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. CEC 2019: 3126-3133 - [c1]Urban Skvorc, Tome Eftimov, Peter Korosec:
GECCO black-box optimization competitions: progress from 2009 to 2018. GECCO (Companion) 2019: 275-276
Coauthor Index
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