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ORCIDGjorgjina Cenikj
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2020 – today
- 2024
[j7]Gasper Petelin
, Gjorgjina Cenikj:
Random Filter Mappings as Optimization Problem Feature Extractors. IEEE Access 12: 143554-143571 (2024)- [j6]Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov:
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm Evol. Comput. 84: 101448 (2024) - [j5]Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. Swarm Evol. Comput. 87: 101534 (2024) - [c20]Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. CEC 2024: 1-8 - [c19]Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov:
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. CEC 2024: 1-8 - [c18]Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. GECCO Companion 2024: 403-406 - [c17]Gasper Petelin, Gjorgjina Cenikj:
On Generalization of ELA Feature Groups. GECCO Companion 2024: 419-422 - [c16]Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer:
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion 2024: 563-566 - [c15]Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann:
Learned Features vs. Classical ELA on Affine BBOB Functions. PPSN (2) 2024: 137-153 - [i10]Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov:
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks. CoRR abs/2405.12259 (2024) - [i9]Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov:
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. CoRR abs/2406.06629 (2024) - [i8]Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer:
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR abs/2407.13513 (2024) - 2023
- [j4]Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak:
FooDis: A food-disease relation mining pipeline. Artif. Intell. Medicine 142: 102586 (2023) - [j3]Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov:
Towards understanding the importance of time-series features in automated algorithm performance prediction. Expert Syst. Appl. 213(Part): 119023 (2023) - [c14]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML 2023: 11/1-17 - [c13]Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion 2023: 311-314 - [c12]Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov:
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO 2023: 813-821 - [c11]Gasper Petelin, Gjorgjina Cenikj:
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms? SSCI 2023: 341-346 - [i7]Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. CoRR abs/2306.00040 (2023) - [i6]Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov:
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR abs/2306.05438 (2023) - [i5]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR abs/2310.10685 (2023) - [i4]Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
TransOpt: Transformer-based Representation Learning for Optimization Problem Classification. CoRR abs/2311.18035 (2023) - 2022
- [j2]Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov:
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation 2022(2022) (2022) - [j1]Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski:
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198: 116871 (2022) - [c10]Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov:
SciFoodNER: Food Named Entity Recognition for Scientific Text. IEEE Big Data 2022: 4065-4073 - [c9]Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov:
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC 2022: 1-8 - [c8]Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO 2022: 620-629 - [c7]Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr:
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) 2022: 18-31 - [c6]Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov:
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances. SSCI 2022: 1698-1705 - [i3]Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR abs/2204.11527 (2022) - [i2]Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr:
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR abs/2209.04412 (2022) - 2021
- [c5]Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov:
Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace. IEEE BigData 2021: 4561-4565 - [c4]Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak:
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN. BioNLP@NAACL-HLT 2021: 30-40 - [c3]Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov:
FoodChem: A food-chemical relation extraction model. SSCI 2021: 1-8 - [i1]Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov:
FoodChem: A food-chemical relation extraction model. CoRR abs/2110.02019 (2021) - 2020
- [c2]Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov:
BuTTER: BidirecTional LSTM for Food Named-Entity Recognition. IEEE BigData 2020: 3550-3556 - [c1]Gjorgjina Cenikj, Sonja Gievska:
Boosting Recommender Systems with Advanced Embedding Models. WWW (Companion Volume) 2020: 385-389
Coauthor Index
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