8 citations · 8 across the 3 of their papers we have counts for
3 papers
Software Frameworks for Explainable AI in Time Series Classification: A Systematic Review
Louis Peter, Nils Gumpfer, Jana Fischer +2
Time series arise in a wide range of application domains and are analyzed using machine learning in decision-critical settings. Time series classification (TSC) is one of the most…
Beyond Local Inspection: Global, Guideline-Grounded Evaluation of Post-hoc XAI Methods for ECG Classification
Nils Gumpfer, Michael Guckert, Samuel Sossalla +2
Explainable AI (XAI) is used to assess whether artificial intelligence models rely on meaningful patterns, yet explanations that appear plausible for individual predictions may sys…
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems
Michael Guckert, Nils Gumpfer, Jennifer Hannig +2
Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can not be…