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16 Publications
2023 | Journal Article | LibreCat-ID: 45484
Sherif, M. A., da Silva, A. A. M., Pestryakova, S., Ahmed, A. F., Niemann, S., & Ngomo, A.-C. N. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. Scientific Data, 10(1), Article 318. https://doi.org/10.1038/s41597-023-02199-8
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 32335
PODWORNY, S., Hüsing, S., & SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL, 21(2), Article 6. https://doi.org/10.52041/serj.v21i2.46
LibreCat
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2022 | Journal Article | LibreCat-ID: 34200
Bloh, T. (2022). Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung. Zeitschrift für Evaluation, 2022(02), 193–215. https://doi.org/10.31244/zfe.2022.02.02
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48108
PODWORNY, S., HÜSING, S., & SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL, 21(2), Article 6. https://doi.org/10.52041/serj.v21i2.46
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 50025
Feng, Y., Gries, T., Letmathe, S., & Schulz, D. (2022). The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. The R Journal, 14(1), 182–195. https://doi.org/10.32614/rj-2022-017
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33666
Feng, Y., Gries, T., Letmathe, S., & Schulz, D. (2022). The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. The R Journal, 14(1), 182–195. https://doi.org/10.32614/rj-2022-017
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34920
Biehler, R., De Veaux, R., Engel, J., Kazak, S., & Frischemeier, D. (2022). Editorial: Research on Data Science Education. Statistics Education Research Journal, 21(2), Article 1. https://doi.org/10.52041/serj.v21i2.606
LibreCat
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 32243
Dabelow, L., Bo, S., & Eichhorn, R. (2021). How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment, 2021(3), Article 033216. https://doi.org/10.1088/1742-5468/abe6fd
LibreCat
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2021 | Journal Article | LibreCat-ID: 33649
Kessler, J., Calcavecchia, F., & Kühne, T. (2021). Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. Advanced Theory and Simulations, 4(4), Article 2000269. https://doi.org/10.1002/adts.202000269
LibreCat
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