A Generic Metric for Measuring Complexity of Models. - Christian Schalles; John Creagh; Michael Rebstock (ICEIS (3), 2010)

Ein generischer Ansatz zur Messung der Benutzerfreundlichkeit von Modellierungssprachen. - Christian Schalles; Michael Rebstock; John Creagh (Modellierung, 2010)

Usability of Modelling Languages for Model Interpretation: An Empirical Research Report. - Christian Schalles; John Creagh; Michael Rebstock (Wirtschaftsinformatik, 2011)

Exploring usability-driven Differences of graphical Modeling Languages: An empirical Research Report. - Christian Schalles; John Creagh; Michael Rebstock (Modellierung, 2012)

Usability evaluation of modeling languages: an empirical research study. - Christian Schalles (Springer Gabler, 2013)

A Causal Model for Analyzing the Impact of Graphical Modeling Languages on Usability. - Christian Schalles; John Creagh; Michael Rebstock (Int. J. Softw. Eng. Knowl. Eng., 2014)

Towards Learned Metadata Extraction for Data Lakes. - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (BTW, 2021)

SportsTables: A new Corpus for Semantic Type Detection. - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (BTW, 2023)

Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks. - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (LWDA, 2023)

Steered Training Data Generation for Learned Semantic Type Detection. - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (Proc. ACM Manag. Data, 2023)

SportsTables: A New Corpus for Semantic Type Detection (Extended Version). - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (Datenbank-Spektrum, 2023)

Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes. - Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig (EDBT, 2024)