Gasper Petelin

35 papers A 2B 4C 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of features used for representing black-box single-objective continuous optimization. Swarm Evol. Comput. Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2025	B	`conf`	ClustOpt: A Clustering-Based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. CEC Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	—	`conf`	Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis. GECCO Companion Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach. Eng. Appl. Artif. Intell. Joze M. Rozanec, Gasper Petelin, João Pita Costa, Gregor Cerar, Blaz Bertalanic, Marko Gucek, Gregor Papa, Dunja Mladenic
2025	J	`jnl`	Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization? CoRR Gjorgjina Cenikj, Gasper Petelin, Moritz Seiler, Nikola Cenikj, Tome Eftimov
2025	J	`jnl`	Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization? Swarm Evol. Comput. Gjorgjina Cenikj, Gasper Petelin, Moritz Seiler, Nikola Cenikj, Tome Eftimov
2025	A	`conf`	The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong. GECCO Gasper Petelin, Gjorgjina Cenikj
2025	J	`jnl`	The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong. CoRR Gasper Petelin, Gjorgjina Cenikj
2024	J	`jnl`	A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. CoRR Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2024	J	`jnl`	A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. Swarm Evol. Comput. Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024	B	`conf`	Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. CEC Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024	—	`conf`	On Generalization of ELA Feature Groups. GECCO Companion Gasper Petelin, Gjorgjina Cenikj
2024	J	`jnl`	Random Filter Mappings as Optimization Problem Feature Extractors. IEEE Access Gasper Petelin, Gjorgjina Cenikj
2024	J	`jnl`	TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm Evol. Comput. Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2024	—	`conf`	TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. GECCO Companion Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2023	J	`jnl`	Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach. CoRR Joze M. Rozanec, Gasper Petelin, João Pita Costa, Blaz Bertalanic, Gregor Cerar, Marko Gucek, Gregor Papa, Dunja Mladenic
2023	A	`conf`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	—	`conf`	How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms? SSCI Gasper Petelin, Gjorgjina Cenikj
2023	J	`jnl`	Towards understanding the importance of time-series features in automated algorithm performance prediction. Expert Syst. Appl. Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2023	J	`jnl`	TransOpt: Transformer-based Representation Learning for Optimization Problem Classification. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2022	—	`conf`	Dynamic computational resource allocation for CFD simulations based on pareto front optimization. GECCO Companion Gasper Petelin, Margarita Antoniou, Gregor Papa
2022	J	`jnl`	Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. J. Glob. Optim. Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic
2022	J	`jnl`	Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
2022	C	`conf`	On Suitability of the Customized Measuring Device for Electric Motor. IECON Rok Hribar, Gasper Petelin, Margarita Antoniou, Anton Biasizzo, Stanko Ciglaric, Gregor Papa
2022	B	`conf`	SciFoodNER: Food Named Entity Recognition for Scientific Text. IEEE Big Data Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov
2022	—	`conf`	TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances. SSCI Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2021	B	`conf`	Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection. CEC Margarita Antoniou, Gasper Petelin, Gregor Papa
2020	J	`jnl`	DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. Tome Eftimov, Gasper Petelin, Peter Korosec
2020	—	`conf`	Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec
2020	J	`jnl`	Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. CoRR Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic
2020	—	`conf`	On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem. BIOMA Margarita Antoniou, Gasper Petelin, Gregor Papa
2020	—	`conf`	PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec