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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
1062019
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
482019
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
152019
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
62020
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
42020
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
32020
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
32019
Towards Crime Forecasting Using Deep Learning
U Schlegel
32018
G-Rap: Interactive text synthesis using recurrent neural network suggestions
U Schlegel, E Cakmak, J Buchmüller, DA Keim
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2018
32018
Using visual analytics to analyze movement and action patterns
D Streeb, U Schlegel, J Buchmüller, F Fischer, DA Keim
2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 171-172, 2015
32015
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
22020
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
12021
Ts-mule: Local interpretable model-agnostic explanations for time series forecast models
U Schlegel, DV Lam, DA Keim, D Seebacher
arXiv preprint arXiv:2109.08438, 2021
12021
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, 2021
12021
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods
U Schlegel, E Cakmak, DA Keim
International Workshop on Machine Learning in Visualisation for Big Data …, 2020
12020
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks
U Schlegel, W Jentner, J Buchmueller, E Cakmak, G Castiglia, R Canepa, ...
INNS Big Data and Deep Learning conference, 206-215, 2019
12019
Human Trust Modeling for Bias Mitigation in Artificial Intelligence
F Sperrle, U Schlegel, M El-Assady, D Keim
ACM CHI 2019 Workshop: Where is the Human? Bridging the Gap Between AI and HCI, 2019
12019
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
2021
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration
T Spinner, U Schlegel, M Schall, F Sperrle, R Sevastjanova, B Gobbo, ...
SIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine …, 2021
2021
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning
A Majumdar, G Ymeri, S Strumbelj, J Buchmüller, U Schlegel, DA Keim
2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 136-137, 2019
2019
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