Urban Skvorc
Orcid: 0000-0002-7032-1489
According to our database1,
Urban Skvorc
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.
Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024
2023
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023
2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
A complementarity analysis of the COCO benchmark problems and artificially generated problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis.
Appl. Soft Comput., 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Deep statistics: more robust performance statistics for single-objective optimization benchmarking.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019