Michael Bücker
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Publikationen

Wissenschaftliche Veröffentlichungen, Vorträge und Software

Google Scholar ORCID 0000-0003-0045-8460

Zeitschriftenartikel & Konferenzbeiträge

2026
Automating Assist Identification in Football (Soccer): A Machine Learning Approach Using Event and Tracking Data
Klemmer, M., Arnsmeyer, K., Bauer, P. & Bücker, M.
Sports Engineering, 29(1), 4. doi:10.1007/s12283-025-00533-4
2025
Addressing Challenges in a Dangerous World: Developing a Design Science Artifact for Advancing Open Source Intelligence (OSINT) Research
Bücker, M., Kayser, F. & Mayer, T.
Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS), 5370–5379. doi:10.25974/fhms-18651
2024
Artificial Intelligence to Assist Decision-Making on Pharmacotherapy: A Feasibility Study
Bücker, M., Hoti, K. & Rose, O.
Exploratory Research in Clinical and Social Pharmacy, 15, 100491. doi:10.1016/j.rcsop.2024.100491
2022
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
Bücker, M., Szepannek, G., Gosiewska, A. & Biecek, P.
Journal of the Operational Research Society, 73(1), 70–90. doi:10.1080/01605682.2021.1922098
2014
Determinants, Moderators and Consequences of Organizational Interaction Orientation
Hoops, C. & Bücker, M.
Journal of Entrepreneurship Management and Innovation, 9(4), 73–100. doi:10.7341/2013944
2013
Reject Inference in Consumer Credit Scoring with Nonignorable Missing Data
Bücker, M., van Kampen, M. & Krämer, W.
Journal of Banking & Finance, 37(3), 1040–1045. doi:10.1016/j.jbankfin.2012.11.002
2012
A Hausman Test for Non-Ignorability
Bücker, M., Krämer, W. & Arnold, M.
Economics Letters, 114(1), 23–25. doi:10.1016/j.econlet.2011.08.025
2011
Probleme des Qualitätsvergleichs von Kreditausfallprognosen
Krämer, W. & Bücker, M.
AStA Wirtschafts- und Sozialstatistisches Archiv, 5(1), 39–58. doi:10.1007/s11943-011-0096-0
2010
Local Classification of Discrete Variables by Latent Class Models
Bücker, M., Szepannek, G. & Weihs, C.
In: Classification as a Tool for Research, Studies in Classification, Data Analysis, and Knowledge Organization. Springer, 127–135. doi:10.1007/978-3-642-10745-0_13

Konferenzvorträge

2025
Addressing Challenges in a Dangerous World: Developing a Design Science Artifact for Advancing Open Source Intelligence (OSINT) Research
Bücker, M., Kayser, F. & Mayer, T.
58th Hawaii International Conference on System Sciences (HICSS) · Hilton Waikoloa Village, Big Island, Hawaii
2022
Machine Learning Decision Records – A Novel Approach for Decision Records in Machine Learning Operationalization
Gronhorst, M., Köhne, F. & Bücker, M.
European Conference on Data Analysis (ECDA 2022) · Università Federico II, Neapel, Italien
2019
Transparency of Machine Learning Models in Credit Scoring
Bücker, M., Szepannek, G., Gosiewska, A. & Biecek, P.
Credit Scoring and Credit Control Conference XVI · University of Edinburgh, UK
2009
lcda: An R Package for Local Classification of Discrete Variables by Latent Class Models
Bücker, M.
useR! – The R User Conference 2009 · Agrocampus-Ouest, Rennes, Frankreich
2009
Local Classification of Discrete Variables by Latent Class Models
Bücker, M., Szepannek, G. & Weihs, C.
11th Conference of the International Federation of Classification Societies (IFCS) · TU Dresden

Preprints

2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Schlüsener, N. & Bücker, M.
arXiv:2212.08363. arxiv.org

Dissertationen & Abschlussarbeiten

2011
Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der Reject Inference
Bücker, M.
Dissertation, TU Dortmund. doi:10.17877/DE290R-555
2008
Lokale Diskrimination diskreter Daten
Bücker, M.
Diplomarbeit, TU Dortmund.

Working Papers

2011
Reject Inference in Consumer Credit Scoring with Nonignorable Missing Data
Bücker, M., van Kampen, M. & Krämer, W.
Discussion Paper SFB 823, No. 1/2011.
2009
Statistischer Qualitätsvergleich von Kreditausfallprognosen
Bücker, M. & Krämer, W.
Discussion Paper SFB 823, No. 30/2009.

Software (R Packages)

2026
bunddev: Discover and Call 'Bund.dev' APIs
Bücker, M.
R package. CRAN
2024
MSBStatsData: Data Sets for Courses at the Münster School of Business
Bücker, M. & Schlüsener, N.
R package. CRAN
2022
lcda: Latent Class Discriminant Analysis
Bücker, M.
R package version 0.3.1. CRAN
 

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