Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
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Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment
A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.

TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs
U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.

Towards comparable ratings: Exploring bias in German physician reviews
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Predicting the Bond Quality of Heavy Copper Wire Bonds using a Friction Model Approach
S. Althoff, Predicting the Bond Quality of Heavy Copper Wire Bonds Using a Friction Model Approach, Shaker, 2023.

Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.

Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs
D. Schroder, S. Lange, C. Hangmann, C. Hedayat, in: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed.,  The Institution of Engineering and Technology (IET), Croyton, UK, 2020, pp. 315-346 (32).

Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data
O.K. Aimiyekagbon, A. Bender, W. Sextro, in: PHM Society European Conference, 2020.

Remaining useful lifetime prediction based on adaptive failure thresholds
A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp. 1262–1269.

Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence
S. Sievers, J. Klobucnik, D. Miersch, Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence, 2017.

Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence
J. Klobucnik, D. Miersch, S. Sievers, SSRN Electronic Journal (2017).

Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending
C. Sprock, W. Sextro, in: Instrumentation and Measurement Technology Conference (MTC) Proceedings, 2014 IEEE International, 2014, pp. 320–324.

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.

The Relevance of Biases in Management Forecasts for Failure Prediction in Venture Capital Investments
S. Sievers, C.F. Mokwa, The Relevance of Biases in Management Forecasts for Failure Prediction in Venture Capital Investments, 2012.

An efficient simulation technique for high-frequency piezoelectric inertia motors
M. Hunstig, T. Hemsel, W. Sextro, in: Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 277–280.

The Relevance of Biases in Management Forecasts for Failure Prediction in Venture Capital Investments
C.F. Mokwa, S. Sievers, SSRN Electronic Journal (2012).