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Št. zadetkov: 17
On generalization of ELA feature groups
Gašper Petelin, Gjorgjina Cenikj
Objavljeni znanstveni prispevek na konferenci
Oznake: izbira algoritmov;algorithm selection;exploratory landscape analysis;black-box optimization;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
ǂThe ǂpitfalls of benchmarking in algorithm selection
Gašper Petelin, Gjorgjina Cenikj
Objavljeni znanstveni prispevek na konferenci
Oznake: black box optimization;
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
ǂA ǂcross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Izvirni znanstveni članek
Oznake: algorithm selection;multi-target regression;generalization;benchmarking;
The task of selecting the best optimization algorithm for a particular problem is known as algorithm selection (AS). This involves training a model using landscape characteristics to predict algorithm performance, but a key challenge remains: making AS models generalize effectively to new, untrained ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Recent advances in meta-features for automated single-objective black-box optimization
Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov
Video in druga učna gradiva
Oznake: black-box optimization;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Impact of scaling in ELA feature calculation on algorithm selection cross-benchmark transferability
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: izbira algoritmov;algorithm selection;exploratory landscape analysis;transfer learning;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Comparing optimization algorithms through the lens of search behavior analysis
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: black-box single-objective numerical optimization;optimization algorithm analysis;
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
ClustOpt
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: optimizacija;algorithm trajectory representations;optimization algorithm analysis;
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
Recent advances in meta-features used for representing black-box single-objective continuous optimization
Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: learning algorithm features;learning problem landscape features;machine learning;
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
FooDis
Gjorgjina Cenikj, Tome Eftimov, Barbara Koroušić-Seljak
Izvirni znanstveni članek
Oznake: besedilno rudarjenje;luščenje povezav;prepoznavanje poimenovanih enitet;povezovanje poimenovanih entitet;prehrana;bolezni;text mining;relation extraction;named entity recognition;named entity linking;food-disease relations;
Nowadays, it is really important and crucial to follow the new biomedical knowledge that is presented in scientific literature. To this end, Information Extraction pipelines can help to automatically extract meaningful relations from textual data that further require additional checks by domain expe ...
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
SciFoodNER
Gjorgjina Cenikj, Gašper Petelin, Barbara Koroušić-Seljak, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: food;named entity recognition;named entity linking;information extraction;
SciFoodNER
Leto: 2022 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 17
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