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Disambiguation of "Wolfien, Markus"

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Annotation-based feature extraction from sets of SBML models.

, , , , and . J. Biomed. Semant., (2015)

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Markus Markus

Markus Kurscheidt

Ökonomische Analyse von Sportgroßveranstaltungen: ein integrierter Evaluierungs- und Management-Ansatz am Beispiel von Fußball-Weltmeisterschaften. Uni Paderborn, (2007)

Markus Perling

Cohomology vanishing and exceptional sequences. Uni Bochum, habilitation, (2009)

Markus Knauer

Struktur-Reaktivitäts-Korrelation von Dieselruß und Charakterisierung von PAHs und Carbonylen im Abgas von Biokraftstoffen. TU München, (2010)

Markus Niemann

From Anomalous Deterministic Diffusion to the Continuous-Time Random Walk. Uni Wuppertal, (2009)
 

Other publications of authors with the same name

Annotation-based feature extraction from sets of SBML models., , , , and . J. Biomed. Semant., (2015)LoRAS: An oversampling approach for imbalanced datasets., , , , and . CoRR, (2019)Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation., , and . CSCI, page 613-622. IEEE, (2022)The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy., , , , , , , , , and 10 other author(s). Nucleic Acids Res., 45 (Webserver-Issue): W560-W566 (2017)A multi-schematic classifier-independent oversampling approach for imbalanced datasets., , , , and . CoRR, (2021)Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept., , , , , , and . ICIMTH, volume 305 of Studies in Health Technology and Informatics, page 139-140. IOS Press, (2023)A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets., , , , and . IEEE Access, (2021)LoRAS: an oversampling approach for imbalanced datasets., , , , and . Mach. Learn., 110 (2): 279-301 (2021)ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets., , , , , and . Pattern Recognit., (March 2024)Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling., , , , and . BMC Bioinform., 22 (1): 557 (2021)