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Št. zadetkov: 6
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)
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)
PS-AAS
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Janković, Ana Nikolikj, Urban Škvorc, Peter Korošec, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: automated algorithm selection;portfolio selection;black box optimization;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Assessing the generalizability of a performance predictive model
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries P. Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algorithms;predictive models;machine learning;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 6
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