DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms T Eftimov, G Petelin, P Korošec Applied Soft Computing 87, 105977, 2020 | 37 | 2020 |
HZDR Multiphase Addon for OpenFOAM F Schlegel, G Petelin, M Tekavčič Institut Jožef Stefan, 2021 | 16 | 2021 |
Multi-objective approaches to ground station scheduling for optimization of communication with satellites G Petelin, M Antoniou, G Papa Optimization and Engineering 24 (1), 147-184, 2023 | 14 | 2023 |
Towards understanding the importance of time-series features in automated algorithm performance prediction G Petelin, G Cenikj, T Eftimov Expert Systems with Applications 213, 119023, 2023 | 10 | 2023 |
Tla: Topological landscape analysis for single-objective continuous optimization problem instances G Petelin, G Cenikj, T Eftimov 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1698-1705, 2022 | 6 | 2022 |
Less is more: Selecting the right benchmarking set of data for time series classification T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ... Expert Systems with Applications 198, 116871, 2022 | 6 | 2022 |
DynamoRep: trajectory-based population dynamics for classification of black-box optimization problems G Cenikj, G Petelin, C Doerr, P Korošec, T Eftimov Proceedings of the Genetic and Evolutionary Computation Conference, 813-821, 2023 | 5 | 2023 |
On formulating the ground scheduling problem as a multi-objective bilevel problem M Antoniou, G Petelin, G Papa International Conference on Bioinspired Methods and Their Applications, 177-188, 2020 | 3 | 2020 |
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms T Eftimov, R Hribar, U Škvorc, G Popovski, G Petelin, P Korošec Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 3 | 2020 |
Deep statistics: more robust performance statistics for single-objective optimization benchmarking T Eftimov, G Petelin, R Hribar, G Popovski, U Škvorc, P Korošec Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 3 | 2020 |
TransOpt: Transformer-based Representation Learning for Optimization Problem Classification G Cenikj, G Petelin, T Eftimov arXiv preprint arXiv:2311.18035, 2023 | 1 | 2023 |
Models for forecasting the traffic flow within the city of Ljubljana G Petelin, R Hribar, G Papa European Transport Research Review 15 (1), 30, 2023 | 1 | 2023 |
SciFoodNER: Food Named Entity Recognition for Scientific Text G Cenikj, G Petelin, BK Seljak, T Eftimov 2022 IEEE International Conference on Big Data (Big Data), 4065-4073, 2022 | 1 | 2022 |
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem R Hribar, T Hrga, G Papa, G Petelin, J Povh, N Pržulj, V Vukašinović Journal of Global Optimization 82 (2), 283-312, 2022 | 1 | 2022 |
Preferred solutions of the ground station scheduling problem using NSGA-III with weighted reference points selection M Antoniou, G Petelin, G Papa 2021 IEEE Congress on Evolutionary Computation (CEC), 1840-1847, 2021 | 1 | 2021 |
Podatkovno vodena inicializacija uteži nevronskih mrež G Petelin Univerza v Ljubljani, Fakulteta za računalništvo in informatiko, 2020 | 1 | 2020 |
GPU-based Accelerated Computation of Coalescence and Breakup Frequencies for Polydisperse Bubbly Flows G Petelin, R Lehnigk, J Kelling, G Papa, F Schlegel | 1 | |
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization G Cenikj, G Petelin, T Eftimov Swarm and Evolutionary Computation 87, 101534, 2024 | | 2024 |
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting G Petelin, G Cenikj, T Eftimov Swarm and Evolutionary Computation 84, 101448, 2024 | | 2024 |
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms? G Petelin, G Cenikj 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 341-346, 2023 | | 2023 |