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Udo Schlegel
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explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
T Spinner, U Schlegel, H Schäfer, M El-Assady
IEEE transactions on visualization and computer graphics 26 (1), 1064-1074, 2019
3312019
Towards a rigorous evaluation of XAI methods on time series
U Schlegel, H Arnout, M El-Assady, D Oelke, DA Keim
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
185*2019
Explainable AI for time series classification: a review, taxonomy and research directions
A Theissler, F Spinnato, U Schlegel, R Guidotti
Ieee Access 10, 100700-100724, 2022
1222022
Towards XAI: structuring the processes of explanations
M El-Assady, W Jentner, R Kehlbeck, U Schlegel, R Sevastjanova, ...
Proceedings of the ACM Workshop on Human-Centered Machine Learning, Glasgow …, 2019
462019
Ts-mule: Local interpretable model-agnostic explanations for time series forecast models
U Schlegel, DL Vo, DA Keim, D Seebacher
Joint European conference on machine learning and knowledge discovery in …, 2021
322021
Task-based visual interactive modeling: Decision trees and rule-based classifiers
D Streeb, Y Metz, U Schlegel, B Schneider, M El-Assady, H Neth, M Chen, ...
IEEE Transactions on Visualization and Computer Graphics 28 (9), 3307-3323, 2021
252021
Time series model attribution visualizations as explanations
U Schlegel, DA Keim
2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 27-31, 2021
242021
Multiscale snapshots: Visual analysis of temporal summaries in dynamic graphs
E Cakmak, U Schlegel, D Jäckle, D Keim, T Schreck
IEEE Transactions on Visualization and Computer Graphics 27 (2), 517-527, 2020
212020
An empirical study of explainable AI techniques on deep learning models for time series tasks
U Schlegel, D Oelke, DA Keim, M El-Assady
arXiv preprint arXiv:2012.04344, 2020
202020
A deep dive into perturbations as evaluation technique for time series XAI
U Schlegel, DA Keim
World Conference on Explainable Artificial Intelligence, 165-180, 2023
122023
Semantic color mapping: A pipeline for assigning meaningful colors to text
M El-Assady, R Kehlbeck, Y Metz, U Schlegel, R Sevastjanova, F Sperrle, ...
2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and …, 2022
92022
SpatialRugs: A compact visualization of space and time for analyzing collective movement data
JF Buchmüller, U Schlegel, E Cakmak, DA Keim, E Dimara
Computers & Graphics 101, 23-34, 2021
82021
SpatialRugs: Enhancing spatial awareness of movement in dense pixel visualizations
JF Buchmüller, U Schlegel, E Cakmak, E Dimara, DA Keim
arXiv preprint arXiv:2003.12282, 2020
72020
Modelspex: Model specification using explainable artificial intelligence methods
U Schlegel, E Cakmak, DA Keim
72020
Towards visual debugging for multi-target time series classification
U Schlegel, E Cakmak, H Arnout, M El-Assady, D Oelke, DA Keim
Proceedings of the 25th International Conference on Intelligent User …, 2020
62020
RescueMark: Visual Analytics of social media data for guiding emergency response in disaster situations: Award for skillful integration of language model
A Jeitler, A Türkoglu, D Makarov, T Jockers, J Buchmüller, U Schlegel, ...
2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 120-121, 2019
62019
Human trust modeling for bias mitigation in artificial intelligence
F Sperrle, U Schlegel, M El-Assady, DA Keim
62019
G-Rap: Interactive text synthesis using recurrent neural network suggestions
U Schlegel, E Cakmak, JF Buchmüller, DA Keim
62018
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
U Schlegel, D Oelke, DA Keim, M El-Assady
arXiv preprint arXiv:2307.08494, 2023
52023
A comprehensive workflow for effective imitation and reinforcement learning with visual analytics
Y Metz, U Schlegel, D Seebacher, M El-Assady, DA Keim
42022
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