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24 Publications


2023 | Journal Article | LibreCat-ID: 45484
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).
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 32335
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).
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 34200
Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung
T. Bloh, Zeitschrift für Evaluation 2022 (2022) 193–215.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 48108
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).
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 50025
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.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 53238
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).
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 34920
Editorial: Research on Data Science Education
R. Biehler, R. De Veaux, J. Engel, S. Kazak, D. Frischemeier, Statistics Education Research Journal 21 (2022).
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 50024
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.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 35672
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).
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 32243
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).
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 33649
Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo
J. Kessler, F. Calcavecchia, T. Kühne, Advanced Theory and Simulations 4 (2021).
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 48109
A first introduction to data science education in secondary schools: Teaching and learning about data exploration with CODAP using survey data
D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43 (2021).
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 35751
A first introduction to data science education in secondary schools: Teaching and learning about data exploration withCODAPusing survey data
D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43 (2021) S182–S189.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 35737
Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks
R. Biehler, F.Y. Fleischer, Teaching Statistics 43 (2021) S133–S142.
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 45561
Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story
P. Duman, Games 11 (2020).
LibreCat | DOI
 

2017 | Conference Paper | LibreCat-ID: 48856
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.
LibreCat | DOI
 

2014 | Conference Paper | LibreCat-ID: 11753 | OA
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.
LibreCat | Files available | Download (ext.)
 

2013 | Journal Article | LibreCat-ID: 11862
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.
LibreCat | DOI
 

2010 | Conference Paper | LibreCat-ID: 11913 | OA
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.
LibreCat | DOI | Download (ext.)
 

2010 | Journal Article | LibreCat-ID: 34886
On the negative Pell equation
É. Fouvry, J. Klüners, Annals of Mathematics 172 (2010) 2035–2104.
LibreCat | DOI
 

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