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Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.

, , , , , , , , , , , and . Artif. Intell. Medicine, (2021)

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Techno-economic evaluation of an ontology-based nurse call system via discrete event simulations., , , , , , , , , and . Healthcom, page 82-87. IEEE, (2014)A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies., , , , , , , and . Sensors, 20 (4): 1152 (2020)INK: knowledge graph embeddings for node classification., , , , , and . Data Min. Knowl. Discov., 36 (2): 620-667 (2022)Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs., , , , , , , and . CoRR, (2020)Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling., , , , , , , , , and 2 other author(s). Artif. Intell. Medicine, (2021)Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks., , , , , , and . Artif. Intell. Medicine, (2019)MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph., , , and . BMC Medical Informatics Decis. Mak., 20-S (4): 191 (2020)mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients., , , , , , , , , and 3 other author(s). BMC Medical Informatics Decis. Mak., 22 (1): 87 (2022)TALK: Tracking Activities by Linking Knowledge., , , , , and . Eng. Appl. Artif. Intell., (2023)FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning., , , , , , , , , and 1 other author(s). Future Gener. Comput. Syst., (2021)