2022
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Links |
Michael Bücker, Niels Schlüsener |
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
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preprint, 2022 |
DOI: 10.48550/arXiv.2212.08363 BibTeX | RIS
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2021
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Links |
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek |
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
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Journal of the Operational Research Society, 2021 |
DOI: 10.1080/01605682.2021.1922098 BibTeX | RIS
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2020
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Links |
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek |
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
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arXiv, 2009.13384, pp. 1-30, 2020 |
https://arxiv.org/abs/2009.13384 | BibTeX | RIS
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2019
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Links |
Michael Bücker, Gero Szepannek, Przemyslaw Biecek, Alicja Gosiewska, Mateusz Staniak |
Transparency of Machine Learning Models in Credit Scoring
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CRC Conference XVI Papers, Jonathan Crook (Ed.)pp. 1-1, 2019 |
https://crc.business-school.ed.ac.uk/wp-content/uploads/sites/55/2019/07/C13-Transparency-of-Machine-Learning-Models-in-Credit-Scoring-B%C3%BCcker.pdf | BibTeX | RIS
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2014
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Links |
Christian Hoops, Michael Bücker |
Determinants, Moderators and Consequences of Organizational Interaction Orientation
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Journal of Entrepreneurship Management and Innovation, 9(4), pp. 73-100, 2014 |
BibTeX | RIS
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2013
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Links |
Michael Bücker, Maarten van Kampen, Walter Krämer |
Reject inference in consumer credit scoring with nonignorable missing data
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Journal of Banking & Finance, 37(3), pp. 1040-1045, 2013 |
DOI: 10.1016/j.jbankfin.2012.11.002 BibTeX | RIS
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2012
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Links |
Michael Bücker, Walter Krämer, Matthias Arnold |
A Hausman test for non-ignorability
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Economics Letters, 114(1), pp. 23-25, 2012 |
DOI: 10.1016/j.econlet.2011.08.025 BibTeX | RIS
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2011
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Links |
Walter Krämer, Michael Bücker |
Probleme des Qualitätsvergleichs von Kreditausfallprognosen
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AStA Wirtschafts- und Sozialstatistisches Archiv, 5(1), pp. 39-58, 2011 |
DOI: 10.1007/s11943-011-0096-0 BibTeX | RIS
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Michael Bücker, Walter Krämer |
Reject inference in consumer credit scoring with nonignorable missing data
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Discussion Paper SFB 823, 1, 2011 |
BibTeX | RIS
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Michael Bücker |
Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der reject inference
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Dortmund, 2011 |
DOI: 10.17877/DE290R-555 BibTeX | RIS
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Michael Bücker, Walter Krämer |
Statistischer Qualitätsvergleich von Kreditausfallprognosen
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Discussion Paper SFB 823, 30, 2011 |
BibTeX | RIS
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2010
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Links |
Michael Bücker, Gero Szepannek, Claus Weihs |
Local Classification of Discrete Variables by Latent Class Models
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Classification as a Tool for Research, Studies in Classification, Data Analysis, and Knowledge Organization, Springer, pp. 127-135, 2010 |
DOI: 10.1007/978-3-642-10745-0_13 BibTeX | RIS
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2008
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Links |
Michael Bücker |
Lokale Diskrimination diskreter Daten
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Dortmund, 2008 |
BibTeX | RIS
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