IngridKG: A FAIR Knowledge Graph of Graffiti
M.A. Sherif, A.A.M. da Silva, S. Pestryakova, A.F. Ahmed, S. Niemann, A.-C.N. Ngomo, Scientific Data 10 (2023).

A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING
S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).

Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung
T. Bloh, Zeitschrift für Evaluation 2022 (2022) 193–215.

A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING
S. PODWORNY, S. HÜSING, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).

A private sustainable partner selection model for green public-private partnerships and regional economic development
M. Tavana, A. Khalili Nasr, H. Mina, J. Michnik, Socio-Economic Planning Sciences 83 (2022).

Editorial: Research on Data Science Education
R. Biehler, R. De Veaux, J. Engel, S. Kazak, D. Frischemeier, Statistics Education Research Journal 21 (2022).

The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series
Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.

Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks
F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal 21 (2022).

The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series
Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.

How irreversible are steady-state trajectories of a trapped active particle?
L. Dabelow, S. Bo, R. Eichhorn, Journal of Statistical Mechanics: Theory and Experiment 2021 (2021).

Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo
J. Kessler, F. Calcavecchia, T. Kühne, Advanced Theory and Simulations 4 (2021).

A first introduction to data science education in secondary schools: Teaching and learning about data exploration with <scp>CODAP</scp> using survey data
D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43 (2021).

A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data
D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43 (2021) 2–9.

Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks
R. Biehler, F.Y. Fleischer, Teaching Statistics 43 (2021) 3–2.

Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story
P. Duman, Games 11 (2020).

An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.

Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models
L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.

Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.

Blind speech separation employing directional statistics in an Expectation Maximization framework
D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.

On the negative Pell equation
É. Fouvry, J. Klüners, Annals of Mathematics 172 (2010) 2035–2104.