CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2019)

GECCO black-box optimization competitions: progress from 2009 to 2018. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO (Companion), 2019)

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. - Tome Eftimov; Rok Hribar; Urban Skvorc; Gorjan Popovski; Gasper Petelin; Peter Korosec (GECCO Companion, 2020)

Deep statistics: more robust performance statistics for single-objective optimization benchmarking. - Tome Eftimov; Gasper Petelin; Rok Hribar; Gorjan Popovski; Urban Skvorc; Peter Korosec (GECCO Companion, 2020)

Using exploratory landscape analysis to visualize single-objective problems. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO Companion, 2020)

Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. - Urban Skvorc; Tome Eftimov; Peter Korosec (Appl. Soft Comput., 2020)

The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2021)

A complementarity analysis of the COCO benchmark problems and artificially generated problems. - Urban Skvorc; Tome Eftimov; Peter Korosec (GECCO Companion, 2021)

A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. - Urban Skvorc; Tome Eftimov; Peter Korosec (CEC, 2022)

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. - Ana Kostovska; Gjorgjina Cenikj; Diederick Vermetten; Anja Jankovic 001; Ana Nikolikj; Urban Skvorc; Peter Korosec; Carola Doerr; Tome Eftimov (AutoML, 2023)

Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. - Urban Skvorc; Tome Eftimov; Peter Korosec (SSCI, 2023)

Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. - Moritz Seiler; Urban Skvorc; Carola Doerr; Heike Trautmann (LION, 2024)

Learned Features vs. Classical ELA on Affine BBOB Functions. - Moritz Seiler; Urban Skvorc; Gjorgjina Cenikj; Carola Doerr; Heike Trautmann (PPSN (2), 2024)