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27 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
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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
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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
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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
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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
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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
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2022 | Journal Article | LibreCat-ID: 53238
Tavana, M., Khalili Nasr, A., Mina, H., & Michnik, J. (2022). A private sustainable partner selection model for green public-private partnerships and regional economic development. Socio-Economic Planning Sciences, 83, Article 101189. https://doi.org/10.1016/j.seps.2021.101189
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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
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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
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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
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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
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2021 | Journal Article | LibreCat-ID: 48109
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first introduction to data science education in secondary schools: Teaching and learning about data exploration with <scp>CODAP</scp> using survey data. Teaching Statistics, 43(S1). https://doi.org/10.1111/test.12283
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2021 | Journal Article | LibreCat-ID: 35737
Biehler, R., & Fleischer, Y. (2021). Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics, 43, S133–S142. https://doi.org/10.1111/test.12279
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2021 | Journal Article | LibreCat-ID: 35751
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data. Teaching Statistics, 43(S1), S182–S189. https://doi.org/10.1111/test.12283
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2020 | Journal Article | LibreCat-ID: 45561
Duman, P. (2020). Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story. Games, 11(1), Article 9. https://doi.org/10.3390/g11010009
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2017 | Working Paper | LibreCat-ID: 20868
Sievers, S., Klobucnik, J., & Miersch, D. (2017). Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence. https://doi.org/10.2139/ssrn.2237757
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2017 | Journal Article | LibreCat-ID: 5199
Klobucnik, J., Miersch, D., & Sievers, S. (2017). Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence. SSRN Electronic Journal.
LibreCat
 

2017 | Journal Article | LibreCat-ID: 6075
Krüger, A., Tünnermann, J., & Scharlau, I. (2017). Measuring and modeling salience with the theory of visual attention. Attention, Perception, & Psychophysics, 79(6), 1593–1614. https://doi.org/10.3758/s13414-017-1325-6
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2016 | Journal Article | LibreCat-ID: 6071 | OA
Krüger, A., Tünnermann, J., & Scharlau, I. (2016). Fast and conspicuous? Quantifying salience with the theory of visual attention. Advances in Cognitive Psychology, 12(1), 20–38. https://doi.org/10.5709/acp-0184-1
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2013 | Journal Article | LibreCat-ID: 11862
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013
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