Document Clustering using a Graph Covering with Pseudostable Sets. - Jens Dörpinghaus; Sebastian Schaaf; Juliane Fluck; Marc Jacobs 001 (FedCSIS, 2017)

Soft document clustering using a novel graph covering approach. - Jens Dörpinghaus; Sebastian Schaaf; Marc Jacobs 001 (BioData Min., 2018)

Text Mining and Machine Learning for Precision Medicine. - Graciela Gonzalez 001; Zhiyong Lu; Robert Leaman; Davy Weissenbacher; Mary Regina Boland; Yong Chen 016; Jingcheng Du; Juliane Fluck; Casey S. Greene; John H. Holmes; Aditya Kashyap; Rikke Linnemann Nielsen; et al. (PSB, 2019)

An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph. - Jens Dörpinghaus; Sebastian Schaaf; Vera Weil; Tobias Hübenthal (FedCSIS, 2021)

Integrative data semantics through a model-enabled data stewardship. - Philipp Wegner; Sebastian Schaaf; Mischa Uebachs; Daniel Domingo-Fernández; Yasamin Salimi; Stephan Gebel; Astghik Sargsyan; Colin Birkenbihl; Stephan Springstubbe; Thomas Klockgether; Juliane Fluck; Martin Hofmann-Apitius; et al. (Bioinform., 2022)

Deep Learning-based detection of psychiatric attributes from German mental health records. - Sumit Madan; Fabian Julius Zimmer; Helena Balabin; Sebastian Schaaf; Holger Fröhlich; Juliane Fluck; Irene Neuner; Klaus Mathiak; Martin Hofmann-Apitius; Pegah Sarkheil (Int. J. Medical Informatics, 2022)

Galaxy and RDM Being More Than a Workflow Manager: Living the Data Life Cycle. - Sebastian Schaaf; Anika Erxleben-Eggenhofer; Björn A. Grüning (CoRDI, 2023)

Conda, Container and Bots How to Build and Maintain Tool Dependencies in Workflows and Training Materials. - Paul F. Zierep; Sanjay Kumar Srikakulam; Sebastian Schaaf; Björn A. Grüning (CoRDI, 2023)