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Food Data Normalization Using Lexical and Semantic Similarities Heuristics.

, , , , , and . BIOSTEC (Selected Papers), volume 1400 of Communications in Computer and Information Science, page 468-485. Springer, (2020)

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Personalizing performance regression models to black-box optimization problems., , , , and . GECCO, page 669-677. ACM, (2021)The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection., , , and . GECCO, page 687-696. ACM, (2021)BuTTER: BidirecTional LSTM for Food Named-Entity Recognition., , , , and . IEEE BigData, page 3550-3556. IEEE, (2020)Exploring a standardized language for describing foods using embedding techniques., , , and . IEEE BigData, page 5172-5176. IEEE, (2019)FoodOntoMap: Linking Food Concepts across Different Food Ontologies., , and . KEOD, page 195-202. ScitePress, (2019)FoodViz: Visualization of Food Entities Linked Across Different Standards., , , , , and . LOD (2), volume 12566 of Lecture Notes in Computer Science, page 28-38. Springer, (2020)Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes., , , , and . SSCI, page 775-782. IEEE, (2020)FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies., , and . IC3K, volume 1297 of Communications in Computer and Information Science, page 413-426. Springer, (2019)Toward Robust Food Ontology Mapping., , , , , and . IEEE BigData, page 3596-3601. IEEE, (2020)Food Data Normalization Using Lexical and Semantic Similarities Heuristics., , , , , and . BIOSTEC (Selected Papers), volume 1400 of Communications in Computer and Information Science, page 468-485. Springer, (2020)