Gorjan Popovski

Orcid: 0000-0001-9091-4735

According to our database1, Gorjan Popovski authored at least 19 papers between 2019 and 2021.

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Bibliography

2021
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures.
Big Data Res., 2021

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Personalizing performance regression models to black-box optimization problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
A Survey of Named-Entity Recognition Methods for Food Information Extraction.
IEEE Access, 2020

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

FoodViz: Visualization of Food Entities Linked Across Different Standards.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper).
Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) joint with the 10th Workshop on Ontologies and Data in Life Sciences (ODLS) and part of the Bolzano Summer of Knowledge (BoSK 2020), 2020

Performance2vec: a step further in explainable stochastic optimization algorithm performance.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Deep statistics: more robust performance statistics for single-objective optimization benchmarking.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Food Data Normalization Using Lexical and Semantic Similarities Heuristics.
Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Toward Robust Food Ontology Mapping.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
FoodBase corpus: a new resource of annotated food entities.
Database J. Biol. Databases Curation, 2019

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019

FoodOntoMap: Linking Food Concepts across Different Food Ontologies.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Exploring a standardized language for describing foods using embedding techniques.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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