262 citations · 272 across the 13 of their papers we have counts for
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cs.LG2019
Towards a Rigorous Evaluation of XAI Methods on Time Series
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2
Explainable Artificial Intelligence (XAI) methods are typically deployed to explain and debug black-box machine learning models. However, most proposed XAI methods are black-boxes…
cs.HC2019★ 262 cited
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
Thilo Spinner, Udo Schlegel, Hanna Schäfer +1
We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; (2) diagnose model limitations using different…