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BuTTER: BidirecTional LSTM for Food Named-Entity Recognition., , , , and . IEEE BigData, page 3550-3556. IEEE, (2020)The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection., , , and . GECCO, page 687-696. ACM, (2021)Personalizing performance regression models to black-box optimization problems., , , , and . GECCO, page 669-677. ACM, (2021)FoodOntoMap: Linking Food Concepts across Different Food Ontologies., , and . KEOD, page 195-202. ScitePress, (2019)Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes., , , , and . SSCI, page 775-782. IEEE, (2020)Exploring a standardized language for describing foods using embedding techniques., , , and . IEEE BigData, page 5172-5176. IEEE, (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)Deep statistics: more robust performance statistics for single-objective optimization benchmarking., , , , , and . GECCO Companion, page 5-6. ACM, (2020)A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures., , , and . Big Data Res., (2021)Food Data Integration by using Heuristics based on Lexical and Semantic Similarities., , , , , and . HEALTHINF, page 208-216. SCITEPRESS, (2020)