Fast Motion Estimation on Range Image Sequences Acquired with a 3-D Camera. - Stephan Matzka; Yvan R. Petillot; Andrew M. Wallace (BMVC, 2007)

Determining Efficient Scan-Patterns for 3-D Object Recognition Using Spin Images. - Stephan Matzka; Yvan R. Petillot; Andrew M. Wallace (ISVC (2), 2007)

A comparison of track-to-track fusion algorithms for automotive sensor fusion. - Stephan Matzka; Richard Altendorfer (MFI, 2008)

A confidence measure for vehicle tracking based on a generalization of Bayes estimation. - Richard Altendorfer; Stephan Matzka (Intelligent Vehicles Symposium, 2010)

A New Confidence Estimator for Vehicle Tracking Based on a Generalization of Bayes Filtering. - Richard Altendorfer; Stephan Matzka (IEEE Intell. Transp. Syst. Mag., 2012)

Efficient Resource Allocation for Attentive Automotive Vision Systems. - Stephan Matzka; Andrew M. Wallace; Yvan R. Petillot (IEEE Trans. Intell. Transp. Syst., 2012)

Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes. - Stephan Matzka (AI4I, 2018)

Impact of Anonymization on Vehicle Detector Performance. - Lukas Schnabel; Stephan Matzka; Martin Stellmacher; Michael Pätzold; Elmar Matthes (AI4I, 2019)

Explainable Artificial Intelligence for Predictive Maintenance Applications. - Stephan Matzka (AI4I, 2020)

Structure-borne and Air-borne Sound Data for Condition Monitoring Applications. - Stephan Matzka; Johannes Pilz; Andreas Franke 005 (AI4I, 2021)

Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model. - Andrea Torcianti; Stephan Matzka (AI4I, 2021)

Explainable Artificial Intelligence for a high dimensional condition monitoring application using the SHAP Method. - Raphael Wallsberger; Tim Dieter Eberhardt; Paul-Albert Bartlau; Maurice Lucas Dörnte; Tim Lukas Schröter; Stephan Matzka (AI4I, 2022)

Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. - Ricardo Knauer; Raphael Wallsberger; Marvin Grimm; Marian Bookhahn; Frank Neumann 004; Stephan Matzka; Erik Rodner (GI-Jahrestagung, 2023)

Explainable Artificial Intelligence in Mechanical Engineering: A Synthetic Dataset for Comprehensive Failure Mode Analysis. - Raphael Wallsberger; Ricardo Knauer; Stephan Matzka (TransAI, 2023)

Explainable Artificial Intelligence Beyond Feature Attributions: The Validity and Reliability of Feature Selection Explanations. - Raphael Wallsberger; Ricardo Knauer; Stephan Matzka (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)