Publications

Valesko Dausch, Christopher Langner, Daniel Roth, Matthias Kreimeyer, and Matthias R. Guertler. Investigating low data consistency in work planning processes – causes, measures, and opportunities. Proceedings of the Design Society , Volume 4: DESIGN 2024, 225-234, Cambridge University Press, 2024. [PUMA: myown] URL

Valesko Dausch, Christopher Langner, Daniel Roth, Matthias Kreimeyer, and Matthias R. Guertler. Investigating low data consistency in work planning processes – causes, measures, and opportunities. Proceedings of the Design Society , Volume 4: DESIGN 2024, 225-234, Cambridge University Press, 2024. [PUMA: MPE IKTD PUK Tagungsbeitrag] URL

Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde. Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data. In Anthony Mathelier (Eds.), Bioinformatics, (40)5:btae312, May 2024. [PUMA: bayesian exc2075 graduateschool isa myown peerreviewed pn2] URL

Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde. Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data. In Anthony Mathelier (Eds.), Bioinformatics, (40)5:btae312, May 2024. [PUMA: EXC2075 PN2] URL

Christopher Langner, Yevgeni Paliyenko, Benedikt Müller, Daniel Roth, Matthias R. Guertler, and Matthias Kreimeyer. Challenges for capturing data within data-driven design processes. Proceedings of the Design Society , Volume 4: DESIGN 2024, 2099-2108, Cambridge University Press, 2024. [PUMA: myown] URL