| 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 |
| 2026 | GECCO | Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization. | Sara Gjorgjieva, Eva Tuba, 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 | CEC | Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes. | Ana Nikolikj, Mario Andrs Muoz, Eva Tuba, 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 | Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. | Tome Eftimov, Peter Korosec |
| 2025 | GECCO | Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. | Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2025 | GECCO | Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance. | Ana Nikolikj, Gabriela Ochoa, Tome Eftimov |
| 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 | CEC | Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. | Ana Nikolikj, Ana Kostovska, Diederick Vermetten, 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 | Statistical Analyses for Single-objective Stochastic Optimization Algorithms. | Tome Eftimov, Peter Korosec |
| 2024 | GECCO | Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. | Peter Korosec, Tome Eftimov |
| 2024 | GECCO | Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. | Ana Nikolikj, Tome Eftimov |
| 2024 | ICCS | Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem. | Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum |
| 2024 | IJCCI | Trustworthy Benchmarking for Black-Box Single-Objective Optimization. | Tome Eftimov |
| 2023 | CEC | Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. | Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov |
| 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 | Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr |
| 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 |
| 2023 | GECCO | Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. | Ana Nikolikj, Saso Dzeroski, Mario Andrs Muoz, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | CEC | Trajectory-based Algorithm Selection with Warm-starting. | Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr |
| 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 | CEC | A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 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 | GECCO | Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. | Tome Eftimov, Peter Korosec |
| 2022 | GECCO | The importance of landscape features for performance prediction of modular CMA-ES variants. | Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | PPSN | Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr |
| 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 |
| 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 | EMO | On Statistical Analysis of MOEAs with Multiple Performance Indicators. | Hao Wang, Carlos Ignacio Hernndez Castellanos, Tome Eftimov |
| 2021 | GECCO | Personalizing performance regression models to black-box optimization problems. | Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec |
| 2021 | GECCO | Robust benchmarking for multi-objective optimization. | Tome Eftimov, Peter Korosec |
| 2021 | GECCO | Reducing bias in multi-objective optimization benchmarking. | Tome Eftimov, Peter Korosec |
| 2021 | GECCO | Statistical analyses for meta-heuristic stochastic optimization algorithms. | Tome Eftimov, Peter Korosec |
| 2021 | GECCO | The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. | Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr |
| 2021 | GECCO | OPTION: optimization algorithm benchmarking ontology. | Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 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 | Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? | Tome Eftimov, Peter Korosec |
| 2020 | GECCO | Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. | Tome Eftimov, 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 | Performance2vec: a step further in explainable stochastic optimization algorithm performance. | Tome Eftimov, Gorjan Popovski, Dragi Kocev, 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 | Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. | Tome Eftimov, Peter Korosec |
| 2019 | GECCO | GECCO black-box optimization competitions: progress from 2009 to 2018. | Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2019 | HCI | UsabEU: Online Platform for Translation, Validation and Native Use of Usability Questionnaires with Multilingual User Groups. | Bojan Blazica, Tome Eftimov |
| 2019 | IC3K | FoodOntoMap: Linking Food Concepts across Different Food Ontologies. | Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov |
| 2019 | IC3K | FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies. | Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov |
| 2019 | ICPRAM | FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction. | Gorjan Popovski, Stefan Kochev, Barbara Korousic-Seljak, Tome Eftimov |
| 2018 | GECCO | The impact of statistics for benchmarking in evolutionary computation research. | Tome Eftimov, Peter Korosec |
| 2018 | GECCO | Deep statistical comparison of meta-heuristic stochastic optimization algorithms. | Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak |
| 2018 | IC3K | Quisper Ontology Learning from Personalized Dietary Web Services. | Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak |
| 2018 | IC3K | The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. | Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak |
| 2017 | IC3K | Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. | Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec |
| 2017 | IJCCI | The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. | Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak |
| 2016 | IC3K | Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. | Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec |
| 2015 | IC3K | POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data. | Tome Eftimov, Barbara Korousic-Seljak |