Gorjan Popovski



Journal articlesshow recent

A Fine-Tuned Bidirectional Encoder Representations From Transformers for Food Named-Entity Recognition: Algorithm Development and Validation, JMIR (2021)
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures, BIG DATA RES (2021)
DietHub: Dietary Habits Analysis through Understanding the Content of Recipes, TRENDS FOOD SCI TECH (2020)
COVID-19 pandemic changes the food consumption patterns, TRENDS FOOD SCI TECH (2020)
A survey of named-entity recognition methods for food information extraction, IEEE ACCESS (2020)
FoodEx2vec: New foods’ representation for advanced food data analysis, FOOD CHEM TOXICOL (2020)
FoodBase corpus: a new resource of annotated food entities, DATABASE (2019)

 

Conference papersshow recent

The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection, GECCO 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems, GECCO 2021
Toward Robust Food Ontology Mapping, BFNDMA2020 at IEEE BigData 2020
BuTTER: BidirecTional LSTM for FoodNamed-Entity Recognition, BFNDMA2020 at IEEE BigData 2020
Ontology alignment using Named-Entity Recognition methods in the domain of food, IS 2020
An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-related Studies, ICBO 2020
FoodViz: Visualization of Food Entities Linked Across Different Standards, LOD 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscape Space, IEEE SSCI 2020
Deep Statistics: More Robust Performance Statistics for Single-objective Optimization Benchmarking, GECCO 2020
performViz: A Machine Learning Approach to Visualize and Understand the Performance of Single-objective Optimization Algorithms, GECCO 2020
Performance2vec: A step further in explainable stochastic optimization algorithms performance, GECCO 2020
Food Data Integration by Using Heuristics based on Lexical and Semantic Similarities, HEALTHINF 2020
Exploring a standardized language for describing foods using embedding techniques, BFNDMA 2019 at IEEE BigData 2019
FoodOntoMap: Linking Food Concepts across different Food Ontologies, KEOD 2019
FoodIE: a rule-based named-entity recognition for food information extraction, ICPRAM 2019

 

Books & Chaptersshow all