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MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets.

, , , and . Expert Syst. Appl., 237 (Part B): 121507 (March 2024)

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Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets., , and . IEEE Big Data, page 4074-4083. IEEE, (2022)Comparing Semantic and Nutrient Value Similarities of Recipes., , and . IEEE BigData, page 5131-5139. IEEE, (2019)An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper)., , , , , and . ICBO/ODLS, volume 2807 of CEUR Workshop Proceedings, page 1-2. CEUR-WS.org, (2020)Quisper Ontology Learning from Personalized Dietary Web Services., , , , and . KEOD, page 277-284. SciTePress, (2018)The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems., , , and . KDIR, page 313-320. SciTePress, (2018)Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets., , and . CoRR, (2023)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)Less is more: Selecting the right benchmarking set of data for time series classification., , , , , , and . Expert Syst. Appl., (2022)Food Data Integration by using Heuristics based on Lexical and Semantic Similarities., , , , , and . HEALTHINF, page 208-216. SCITEPRESS, (2020)Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data., , and . IEEE BigData, page 3563-3572. IEEE, (2020)