| Transparency, auditability, and explainability of machine learning models in credit scoring M Bücker, G Szepannek, A Gosiewska, P Biecek Journal of the Operational Research Society 73 (1), 70-90, 2022 | 125 | 2022 |
| Reject inference in consumer credit scoring with nonignorable missing data M Bücker, M van Kampen, W Krämer Journal of Banking & Finance 37 (3), 1040-1045, 2013 | 55 | 2013 |
| Transparency, auditability and explainability of machine learning models in credit scoring M Bücker, G Szepannek, A Gosiewska, P Biecek arXiv preprint arXiv:2009.13384, 2020 | 12 | 2020 |
| Probleme des Qualitätsvergleichs von Kreditausfallprognosen W Krämer, M Bücker AStA Wirtschafts-und Sozialstatistisches Archiv 5, 39-58, 2011 | 5 | 2011 |
| determinants, moderators and consequences of Organizational Interaction Orientation C Hoops, M Bücker Journal of Entrepreneurship Management and Innovation (JEMI) 9 (4), 73-100, 2013 | 3 | 2013 |
| A Hausman test for non-ignorability M Bücker, W Krämer, M Arnold Economics Letters 114 (1), 23-25, 2012 | 3 | 2012 |
| Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models N Schlüsener, M Bücker arXiv preprint arXiv:2212.08363, 2022 | 2 | 2022 |
| Transparency of machine learning models in credit scoring M Bücker, G Szepannek, P Biecek, A Gosiewska, M Staniak | 2 | 2019 |
| Michael J. Daniels, Joseph W. Hogan: Missing data in longitudinal studies M Bücker Statistical Papers 52 (2), 501, 2011 | 2 | 2011 |
| Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der Reject Inference M Bücker Universitätsbibliothek Technische Universität Dortmund, 2011 | 2 | 2011 |
| Jean Dickinson Gibbons, Subhabrata Chakraborti: Nonparametric statistical inferences: Chapman and Hall/CRC, Boca Raton, 2010, xx+ 630 pp, US $99.95, GB£ 63.99,€ 80.99, ISBN 978 … M Bücker Statistical Papers 55 (4), 1227-1228, 2014 | 1 | 2014 |
| Local classification of discrete variables by latent class models M Bücker, G Szepannek, C Weihs Classification as a Tool for Research: Proceedings of the 11th IFCS Biennial …, 2010 | 1 | 2010 |
| Artificial intelligence to assist decision-making on pharmacotherapy: A feasibility study M Bücker, K Hoti, O Rose Exploratory Research in Clinical and Social Pharmacy 15, 100491, 2024 | | 2024 |
| Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models M Bücker, N Schlüsener | | 2022 |
| Alan Julian Izenman: Modern statistical techniques: regression, classification, and manifold learning M Bücker Statistical Papers 53 (4), 1065, 2012 | | 2012 |
| Statistischer Qualitätsvergleich von Kreditausfallprognosen M Bücker, W Krämer | | 2011 |
| lcda: Local Classification of Discrete Data by Latent Class Models M Bücker | | 2009 |
| Lokale Diskrimination diskreter Daten M Bücker | | 2008 |
| Exploratory Research in Clinical and Social Pharmacy M Bücker, K Hoti, O Rose | | |
| iscussion M Bücker, W Krämer | | |
Gero SzepannekProfessor Statistics, Business Mathematics and Machine Learning, Stralsund University of AppliedBestätigte E-Mail-Adresse bei hochschule-stralsund.de
