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ORCIDGordana Ispirova
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2020 – today
- 2024
[j3]Gordana Ispirova
, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak:
MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Syst. Appl. 237(Part B): 121507 (2024)- 2023
- [c10]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 - [i2]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. CoRR abs/2302.01005 (2023) - [i1]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) - 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) - [c9]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. IEEE Big Data 2022: 4074-4083 - 2020
- [c8]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data. IEEE BigData 2020: 3563-3572 - [c7]Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valencic, Tome Eftimov, Barbara Korousic-Seljak:
Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. HEALTHINF 2020: 208-216 - [c6]Gordana Ispirova, Gorjan Popovski, Eva Valencic, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Korousic-Seljak:
Food Data Normalization Using Lexical and Semantic Similarities Heuristics. BIOSTEC (Selected Papers) 2020: 468-485 - [c5]Gorjan Popovski, Gordana Ispirova, Eva Valencic, Riste Stojanov, Tome Eftimov, Barbara Korousic-Seljak:
An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper). ICBO/ODLS 2020: 1-2
2010 – 2019
- 2019
- [c4]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Comparing Semantic and Nutrient Value Similarities of Recipes. IEEE BigData 2019: 5131-5139 - 2018
- [c3]Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak:
Quisper Ontology Learning from Personalized Dietary Web Services. KEOD 2018: 277-284 - [c2]Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak:
The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. KDIR 2018: 313-320 - 2017
- [c1]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec:
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. KEOD 2017: 203-210
Coauthor Index
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