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.
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.
2022
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
Bücker, M., Szepannek, G., Gosiewska, A. & Biecek, P.
2014
Determinants, Moderators and Consequences of Organizational Interaction Orientation
Hoops, C. & Bücker, M.
2013
Reject Inference in Consumer Credit Scoring with Nonignorable Missing Data
Bücker, M., van Kampen, M. & Krämer, W.
2012
A Hausman Test for Non-Ignorability
Bücker, M., Krämer, W. & Arnold, M.
2011
Probleme des Qualitätsvergleichs von Kreditausfallprognosen
Krämer, W. & Bücker, M.
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.
Dissertationen & Abschlussarbeiten
2011
Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der Reject Inference
Bücker, M.
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.
2024
MSBStatsData: Data Sets for Courses at the Münster School of Business
Bücker, M. & Schlüsener, N.
2022
lcda: Latent Class Discriminant Analysis
Bücker, M.
R package version 0.3.1.
CRAN