| 2026 | GECCO | Evaluating Real-World Generalizability of Algorithm Selection Models. | Gjorgjina Cenikj, Jakub Kudela, Eva Tuba, Tome Eftimov |
| 2026 | GECCO | Recent Advances in Meta-features Used for Representing Black-box Single-objective Continuous Optimization. | Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov |
| 2025 | CEC | ClustOpt: A Clustering-Based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. | Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov |
| 2025 | DIS | FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. | Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov |
| 2025 | GECCO | Recent Advances in Meta-features Used for Representing Black-box Single-objective Continuous Optimization. | Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov |
| 2025 | GECCO | Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis. | Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov |
| 2025 | GECCO | The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong. | Gasper Petelin, Gjorgjina Cenikj |
| 2024 | CEC | Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. | Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov |
| 2024 | CEC | Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. | Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov |
| 2024 | GECCO | Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. | Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer |
| 2024 | GECCO | TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. | Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov |
| 2024 | GECCO | On Generalization of ELA Feature Groups. | Gasper Petelin, Gjorgjina Cenikj |
| 2024 | PPSN | Learned Features vs. Classical ELA on Affine BBOB Functions. | Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann |
| 2023 | GECCO | DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. | Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | GECCO | Assessing the Generalizability of a Performance Predictive Model. | Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | CEC | Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. | Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov |
| 2022 | GECCO | SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. | Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | PPSN | Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. | Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel Lpez-Ibez, Carola Doerr |
| 2020 | WWW | Boosting Recommender Systems with Advanced Embedding Models. | Gjorgjina Cenikj, Sonja Gievska |