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Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems., , , , , , , , и . Database J. Biol. Databases Curation, (2018)A multi-modal machine learning approach towards predicting patient readmission., , , , и . BIBM, стр. 2027-2035. IEEE, (2020)Phenoscape: Semantic analysis of organismal traits and genes yields insights in evolutionary biology., , , , , , , и . Application of Semantic Technology in Biodiversity Science, том 33 из Studies on the Semantic Web, IOS Press, (2018)On the Statistical Sensitivity of Semantic Similarity Metrics., и . ICBO, том 2285 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Taking a Dive: Experiments in Deep Learning for Automatic Ontology-Based Annotation of Scientific Literature., , и . ICBO, том 2285 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Using Ontology Embeddings With Deep Learning Architectures to Improve Prediction of Ontology Concepts From Literature., , и . ICBO, том 3603 из CEUR Workshop Proceedings, стр. 118-129. CEUR-WS.org, (2023)Measuring the Importance of Annotation Granularity to the Detection of Semantic Similarity Between Phenotype Profiles., , и . ICBO/BioCreative, том 1747 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Ontology-powered Semantic Similarity of Biological and Biomedical Entities - The Story So Far, and The Road Ahead.. BIOINFORMATICS, стр. 216-225. SciTePress, (2019)978-989-758-353-7.AgBase: supporting functional modeling in agricultural organisms., , , , , , , , , и 2 other автор(ы). Nucleic Acids Res., 39 (Database-Issue): 497-506 (2011)The digital revolution in phenotyping., , , , , , , , , и 9 other автор(ы). Briefings Bioinform., 17 (5): 819-830 (2016)