| 2026 | GECCO | Inexact Sorting in the USGS Operator for the Bi-Objective Minimum Spanning Tree Problem. | Fabian Fudali, Urban Skvorc, Christian Grimme, Jakob Bossek |
| 2024 | PPSN | Learned Features vs. Classical ELA on Affine BBOB Functions. | Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann |
| 2022 | CEC | A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2021 | CEC | The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2021 | GECCO | A complementarity analysis of the COCO benchmark problems and artificially generated problems. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2020 | GECCO | 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 |
| 2020 | GECCO | Deep statistics: more robust performance statistics for single-objective optimization benchmarking. | Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec |
| 2020 | GECCO | Using exploratory landscape analysis to visualize single-objective problems. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2019 | CEC | CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2019 | GECCO | GECCO black-box optimization competitions: progress from 2009 to 2018. | Urban Skvorc, Tome Eftimov, Peter Korosec |