Back to the Roots of Genres: Text Classification by Language Function. - Henning Wachsmuth; Kathrin Bujna (IJCNLP, 2011)

PeerGame: Ein Peer-to-Peer-basiertes Multiplayer-Echtzeit-Strategiespiel. - André Diekwisch; Andreas Martens; Boris Wolf; Claudia Schumacher; Claudius Jähn; Daniel Mex; David Maicher; Dominik Leibenger; Gennadij Liske; Jürgen Tessmann; Kathrin Bujna; Martin Wistuba; et al. (Informatiktage, 2011)

Language Function Analysis 2011 Corpus (LFA-11). - Henning Wachsmuth; Kathrin Bujna (Zenodo, 2011)

Simple Methods for Initializing the EM Algorithm for Gaussian Mixture Models. - Johannes Blömer; Kathrin Bujna (CoRR, 2013)

A Theoretical and Experimental Comparison of the EM and SEM Algorithm. - Johannes Blömer; Kathrin Bujna; Daniel Kuntze (ICPR, 2014)

Complexity and Approximation of the Fuzzy K-Means Problem. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (CoRR, 2015)

A Theoretical Analysis of the Fuzzy K-Means Problem. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (ICDM, 2016)

Adaptive Seeding for Gaussian Mixture Models. - Johannes Blömer; Kathrin Bujna (PAKDD (2), 2016)

Hard-Clustering with Gaussian Mixture Models. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (CoRR, 2016)

On Coreset Constructions for the Fuzzy $K$-Means Problem. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (CoRR, 2016)

Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts. - Kathrin Bujna; Martin Wistuba (DC@PKDD/ECML, 2017)

Soft clustering algorithms: theoretical and practical improvements - Kathrin Bujna (2017)

Coresets for Fuzzy K-Means with Applications. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (ISAAC, 2018)

How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. - Johannes Blömer; Sascha Brauer; Kathrin Bujna; Daniel Kuntze (Adv. Data Anal. Classif., 2020)

A Complexity Theoretical Study of Fuzzy K-Means. - Johannes Blömer; Sascha Brauer; Kathrin Bujna (ACM Trans. Algorithms, 2020)