| 2025 | GECCO | Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. | Tome Eftimov, Peter Korosec |
| 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 |
| 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 | 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 | 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 |
| 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 | 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 | 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 |
| 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 |
| 2013 | CEC | The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. | Peter Korosec, Jurij Silc |
| 2012 | CEC | Balancing downlink and uplink soft-handover areas in UMTS networks. | Lucas Benedicic, Mitja Stular, Peter Korosec |
| 2012 | CEC | The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. | Peter Korosec, Jurij Silc |
| 2011 | CEC | The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. | Peter Korosec, Jurij Silc |
| 2010 | CEC | The differential Ant-Stigmergy Algorithm for large-scale global optimization. | Peter Korosec, Katerina Tashkova, Jurij Silc |
| 2010 | IJCCI | Hybrid Parameter-less Evolutionary Algorithm in Production Planning. | Vida Vukasinovic, Peter Korosec, Gregor Papa |
| 2009 | CEC | The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. | Peter Korosec, Jurij Silc |
| 2009 | GECCO | A stigmergy-based algorithm for black-box optimization: noiseless function testbed. | Peter Korosec, Jurij Silc |
| 2009 | GECCO | A stigmergy-based algorithm for black-box optimization: noisy function testbed. | Peter Korosec, Jurij Silc |
| 2009 | PPAM | A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. | Katerina Tashkova, Peter Korosec, Jurij Silc |
| 2007 | CEC | The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. | Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel |
| 2007 | PPAM | Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. | Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel |
| 2005 | PPAM | The Distributed Stigmergic Algorithm for Multi-parameter Optimization. | Jurij Silc, Peter Korosec |
| 2003 | PPAM | Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. | Jurij Silc, Peter Korosec, Borut Robic |