Gjorgjina Cenikj

According to our database, Gjorgjina Cenikj authored at least 29 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Swarm Evol. Comput., February, 2024

A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Swarm Evol. Comput., 2024

A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization.

Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov

CoRR, 2024

Random Filter Mappings as Optimization Problem Feature Extractors.

Gasper Petelin, Gjorgjina Cenikj

IEEE Access, 2024

Learned Features vs. Classical ELA on Affine BBOB Functions.

Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

On Generalization of ELA Feature Groups.

Gasper Petelin, Gjorgjina Cenikj

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization.

Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.

Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

FooDis: A food-disease relation mining pipeline.

Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak

Artif. Intell. Medicine, August, 2023

Towards understanding the importance of time-series features in automated algorithm performance prediction.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Expert Syst. Appl., 2023

TransOpt: Transformer-based Representation Learning for Optimization Problem Classification.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

CoRR, 2023

How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms?

Gasper Petelin, Gjorgjina Cenikj

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems.

Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Less is more: Selecting the right benchmarking set of data for time series classification.

Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski

Expert Syst. Appl., 2022

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov

Database J. Biol. Databases Curation, 2022

TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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 López-Ibáñez, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison.

Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction.

Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

SciFoodNER: Food Named Entity Recognition for Scientific Text.

Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the IEEE International Conference on Big Data, 2022

2021

FoodChem: A food-chemical relation extraction model.

Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN.

Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace.

Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Boosting Recommender Systems with Advanced Embedding Models.

Gjorgjina Cenikj, Sonja Gievska

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition.

Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020