Introducing FUM: A Framework for API Usage Constraint and Misuse Classification
M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: Software Engineering 2023, Gesellschaft für Informatik e.V., Bonn, 2023, pp. 105–106.

Towards comparable ratings: Exploring bias in German physician reviews
J. Kersting, F. Maoro, M. Geierhos, Data &; Knowledge Engineering 148 (2023).

FUM - A Framework for API Usage constraint and Misuse Classification
M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–684.

Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.

AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.

Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach
J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).

PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data
O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.

Rule-based Diagnostics of a Production Line
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Ensembles of Evolved Nested Dichotomies for Classification
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Development of two novel face-recognition CAPTCHAs: a security and usability study
G. Schryen, G. Wagner, A. Schlegel, Computers &; Security 60 (2016) 95–116.

Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.

A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, H. Trautmann, in: Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, Association for Computing Machinery, New York, NY, USA, 2013, pp. 147–160.

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesperson Problem
O. Mersmann, B. Bischl, H. Trautmann, M. Wagner, J. Bossek, F. Neumann, Annals of Mathematics and Artificial Intelligence 69 (2013) 151–182.

Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, F. Neumann, in: Revised Selected Papers of the 6th International Conference on Learning and Intelligent Optimization - Volume 7219, Springer-Verlag, Berlin, Heidelberg, 2012, pp. 115–129.

Processing Multilingual Customer Contacts via Social Media
M. Geierhos, Y.S. Lee, M. Bargel, in: H. Hedeland, T. Schmidt, K. Wörner (Eds.), Multilingual Resources, Multilingual Applications: Proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011, University of Hamburg, Hamburg, Germany, 2011, pp. 219–222.

Increasing the reliability of a self-optimizing railway guidance system
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A Systematic Approach to Combined HW/SW System Test
A. Krupp, W. Müller, in: Proceedings of DATE’10, IEEE, Dresden, 2010.

Classification Trees for Functional Coverage and Random Test Generation
A. Krupp, W. Müller, in: Proceedings of the Design Automation &; Test in Europe Conference, IEEE, Munich, Germany, 2006.

Multiclass linear dimension reduction by weighted pairwise Fisher criteria
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