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)

Lecturers' Perspectives Regarding AI Competencies for Non-computer Science Students in Undergraduate Education. - Kamilla Tenório; Ricardo Knauer; Raphael Wallsberger; Erik Rodner; Ralf Romeike (OCCE, 2024)

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)

"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models. - Ricardo Knauer; Mario Koddenbrock; Raphael Wallsberger; Nicholas M. Brisson; Georg N. Duda; Deborah Falla; David W. Evans; Erik Rodner (CoRR, 2024)