| 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 | 106 | 2019 |
| 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 | 48 | 2019 |
| 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 | 15 | 2019 |
| 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 | 6 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2019 |
| Towards Crime Forecasting Using Deep Learning U Schlegel | 3 | 2018 |
| 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 | 3 | 2018 |
| 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 | 3 | 2015 |
| 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 | 2 | 2020 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 2019 |
| 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 |
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerified email at uni-konstanz.de
