| Tree-based machine learning methods for survey research C Kern, T Klausch, F Kreuter Survey research methods 13 (1), 73, 2019 | 166 | 2019 |
| Global trends and predictors of face mask usage during the COVID-19 pandemic E Badillo-Goicoechea, TH Chang, E Kim, S LaRocca, K Morris, X Deng, ... BMC Public Health 21 (1), 1-12, 2021 | 110 | 2021 |
| Predicting voting behavior using digital trace data RL Bach, C Kern, A Amaya, F Keusch, F Kreuter, J Hecht, J Heinemann Social Science Computer Review 39 (5), 862-883, 2021 | 49 | 2021 |
| A Self-Replicating Radiation-Shield for Human Deep-Space Exploration: Radiotrophic Fungi can Attenuate Ionizing Radiation aboard the International Space Station GK Shunk, XR Gomez, C Kern, NJH Averesch BioRxiv, 2020 | 49* | 2020 |
| Universal adaptability: Target-independent inference that competes with propensity scoring MP Kim, C Kern, S Goldwasser, F Kreuter, O Reingold Proceedings of the National Academy of Sciences 119 (4), e2108097119, 2022 | 46 | 2022 |
| Social impacts of algorithmic decision-making: A research agenda for the social sciences F Gerdon, RL Bach, C Kern, F Kreuter Big Data & Society 9 (1), 20539517221089305, 2022 | 41 | 2022 |
| Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making C Kern, F Gerdon, RL Bach, F Keusch, F Kreuter Patterns 3 (10), 2022 | 27 | 2022 |
| From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of automated decision-making M Kuppler, C Kern, R Bach, F Kreuter Frontiers in Sociology, 155, 2022 | 23* | 2022 |
| Distributive justice and fairness metrics in automated decision-making: How much overlap is there? M Kuppler, C Kern, RL Bach, F Kreuter arXiv preprint arXiv:2105.01441, 2021 | 23 | 2021 |
| Evaluation bestehender gesetzlicher Mindestlohnregelungen–Branche: Gebäudereinigung G Bosch, T Kalina, C Kern, S Neuffer, M Schwarzkopf, C Weinkopf Abschlussbericht, Universität Duisburg, IAQ, 2011 | 23 | 2011 |
| Migration, social stratification and dynamic effects on subjective well being M Erlinghagen, C Kern, P Stein Advances in Life Course Research 48, 100393, 2021 | 21* | 2021 |
| Boosted Kernel Weighting–Using Statistical Learning to Improve Inference From Nonprobability Samples C Kern, Y Li, L Wang Journal of Survey Statistics and Methodology 9 (5), 1088-1113, 2021 | 19 | 2021 |
| Fairness in Algorithmic Profiling: A German Case Study C Kern, RL Bach, H Mautner, F Kreuter arXiv preprint arXiv:2108.04134, 2021 | 18 | 2021 |
| mcboost: Multi-Calibration Boosting for R F Pfisterer, C Kern, S Dandl, M Sun, MP Kim, B Bischl Journal of Open Source Software 6 (64), 3453, 2021 | 15 | 2021 |
| Predicting nonresponse in future waves of a probability-based mixed-mode panel with machine learning C Kern, B Weiß, JP Kolb Journal of Survey Statistics and Methodology 11 (1), 100-123, 2023 | 13 | 2023 |
| A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers H Silber, F Gerdon, R Bach, C Kern, F Keusch, F Kreuter Politics and the Life Sciences 41 (2), 161-181, 2022 | 12 | 2022 |
| The impact of modeling decisions in statistical profiling RL Bach, C Kern, H Mautner, F Kreuter Data & Policy 5, e32, 2023 | 10 | 2023 |
| Completion conditions and response behavior in smartphone surveys: A prediction approach using acceleration data C Kern, JK Höhne, S Schlosser, M Revilla Social Science Computer Review 39 (6), 1253-1271, 2021 | 10 | 2021 |
| Lazy data practices harm fairness research J Simson, A Fabris, C Kern Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 9 | 2024 |
| One model many scores: using multiverse analysis to prevent fairness hacking and evaluate the influence of model design decisions J Simson, F Pfisterer, C Kern Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 8 | 2024 |
Frauke KreuterProfessor of Survey Methodology, University of Marylandumd.edu의 이메일 확인됨