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Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling, , , , , , , , , and 2 other author(s). Artificial Intelligence in Medicine, (2021)pyRDF2Vec: A Python Implementation and Extension of RDF2Vec., , , and . CoRR, (2022)Predicting Train Occupancies based on Query Logs and External Data Sources., , , , , , , and . WWW (Companion Volume), page 1469-1474. ACM, (2017)Deep learning models for predicting RNA degradation via dual crowdsourcing., , , , , , , , , and 18 other author(s). Nat. Mac. Intell., 4 (12): 1174-1184 (December 2022)Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring., , , , , , and . Biomed. Signal Process. Control., (March 2023)GENDIS: Genetic Discovery of Shapelets., , and . Sensors, 21 (4): 1059 (2021)Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph., , , and . SEPDA@ISWC, volume 2427 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2019)Clinical information extraction for preterm birth risk prediction., , , , , , , , , and 1 other author(s). J. Biomed. Informatics, (2020)A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles., , , , , and . PAKDD (Workshops), volume 10526 of Lecture Notes in Computer Science, page 104-115. Springer, (2017)Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs., , , , , , , and . CoRR, (2020)