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Št. zadetkov: 12
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)
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)
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)
DynamoRep
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: black-box single-objective optimization;optimization problem classification;problem representation;meta-learning;
DynamoRep
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Generalization ability of feature-based performance prediction models
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: metapodatki;strojno učenje;meta-learning;single-objective optimization;module importance;
This study examines the generalization ability of algorithm performance prediction models across various bench-mark suites. Comparing the statistical similarity between the problem collections with the accuracy of performance prediction models that are based on exploratory landscape analysis feature ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Instance selection for dynamic algorithm configuration with reinforcement learning
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Objavljeni znanstveni prispevek na konferenci
Oznake: izbira algoritmov;dynamic algorithm configuration;reinforcement learning;instance selection;generalization;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
From language models to large-scale food and biomedical knowledge graphs
Gjorgjina Cenikj, Lidija Strojnik, Risto Angelski, Nives Ogrinc, Barbara Koroušić-Seljak, Tome Eftimov
Izvirni znanstveni članek
Oznake: biomedical knowledge graphs;relation-mining pipelines;relation extraction;validation;
Knowledge about the interactions between dietary and biomedical factors is scattered throughout uncountable research articles in an unstructured form (e.g., text, images, etc.) and requires automatic structuring so that it can be provided to medical professionals in a suitable format. Various biomed ...
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 12
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