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An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks


Dec 08, 2020
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady

* 5 Pages, 2 Pages References, Pre-registration workshop NeurIPS (2020), Vancouver, Canada 

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Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations


Sep 14, 2020
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel Keim

* 18pages, 2 figures, 2 tables 

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Towards a Rigorous Evaluation of XAI Methods on Time Series


Sep 17, 2019
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

* 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models 
* 5 Pages 1 Figure 1 Table 1 Page Reference - 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models 

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Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections


Aug 01, 2019
Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel Keim, Oliver Deussen

* IEEE Transactions on Visualization and Computer Graphics, 2019 

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explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning


Jul 29, 2019
Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady

* 9 pages paper, 2 pages references, 5 pages supplementary material (ancillary files). Submitted and accepted for IEEE Conference on Visual Analytics Science and Technology (VAST) 2019 

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VIANA: Visual Interactive Annotation of Argumentation


Jul 29, 2019
Fabian Sperrle, Rita Sevastjanova, Rebecca Kehlbeck, Mennatallah El-Assady

* Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), 2019 

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