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16 Publications


2023 | Journal Article | LibreCat-ID: 45484
Sherif, Mohamed Ahmed, et al. “IngridKG: A FAIR Knowledge Graph of Graffiti.” Scientific Data, vol. 10, no. 1, 318, Springer Science and Business Media LLC, 2023, doi:10.1038/s41597-023-02199-8.
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2022 | Journal Article | LibreCat-ID: 32335
PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.
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2022 | Journal Article | LibreCat-ID: 34200
Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung.” Zeitschrift für Evaluation, vol. 2022, no. 02, Waxmann, 2022, pp. 193–215, doi:10.31244/zfe.2022.02.02.
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2022 | Journal Article | LibreCat-ID: 48108
PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 50025
Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” The R Journal, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:10.32614/rj-2022-017.
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2022 | Journal Article | LibreCat-ID: 33666
Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” The R Journal, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:10.32614/rj-2022-017.
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2022 | Journal Article | LibreCat-ID: 34920
Biehler, Rolf, et al. “Editorial: Research on Data Science Education.” Statistics Education Research Journal, vol. 21, no. 2, 1, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.606.
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, Yannik, et al. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” Statistics Education Research Journal, vol. 21, no. 2, 7, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.61.
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2021 | Journal Article | LibreCat-ID: 32243
Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?” Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:10.1088/1742-5468/abe6fd.
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2021 | Journal Article | LibreCat-ID: 33649
Kessler, Jan, et al. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo.” Advanced Theory and Simulations, vol. 4, no. 4, 2000269, Wiley, 2021, doi:10.1002/adts.202000269.
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