Publications
|
Visually Assessing 1-D Orderings of Contiguous Spatial PolygonsJ. Rauscher, F. L. Dennig, U. Schlegel, D. A. Keim, J. Fuchs Computer Graphics Forum, DOI: 10.1111/cgf.70100, 2025 |
|
DIN SPEC 91517:2025-05 Anforderungen an vertrauenswürdige KI-Methoden in polizeilichen AnwendungenM. T. Fischer, U. Schlegel, D. A. Keim, S. Altmann, C. Grote, P. Reuter, G. Coleman, M. Geierhos, F. Maoro, M. Kluin, M. Weinbuch, H. Aden, S. Kleemann, M. Tahraoui, A. Louban, M. Arndt, S. Schönrock, L. T. Brandner, S. D. Hirsbrunner, W. Loh, Y. Yilmaz DOI: 10.31030/3612025, 2025 |
|
MotiVAtor: Analyzing Physical Activity Study Data in Lab and Life through Visual AnalyticsJ. Rauscher, M. Schmidt, U. Schlegel, M. Bieleke, J. Schüler, D. A. Keim Workshop on Visual Analytics in Healthcare (VAHC) @ IEEE Vis, DOI: 10.1109/VAHC69430.2025.00006, 2025 |
|
PraK Tool: An Interactive Search Tool Based on Video Data ServicesJ. Lokoč, Z. Vopálková, M. Stroh, R. Buchmüller, U. Schlegel MultiMedia Modeling, DOI: 10.1007/978-3-031-53302-0_30, 2024 |
|
Searching Temporally Distant Activities in Lifelog Data With PraK Tool V2Z. Vopálková, J. Yaghob, M. Stroh, U. Schlegel, J. Lokoč ACM Lifelog Search Challenge, 2024 |
|
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time SeriesU. Schlegel, D. A. Keim, T. Sutter Workshop on Explainable AI for Time Series and Data Streams (TempXAI) @ ECML-PKDD, 2024 |
|
Interactive Counterfactual Generation for Univariate Time SeriesU. Schlegel, J. Rauscher, D. A. Keim Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD) @ ECML-PKDD, 2024 |
|
Leveraging Color Channel Independence for Improved Unsupervised Object DetectionB. Jäckl, Y. Metz, U. Schlegel, D. A. Keim, M. T. Fischer arxiv Preprint, DOI: 10.48550/arXiv.2412.15150, 2024 |
|
Interactive Dense Pixel Visualizations for Time Series and Model Attribution ExplanationsU. Schlegel, D. A. Keim Workshop on Machine Learning Methods in Visualisation for Big Data (MLVis) @ EuroVIS, DOI: 10.2312/mlvis.20231113, 2023 |
|
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAIU. Schlegel, D. A. Keim World Conference on eXplainable Artificial Intelligence (xAI), 2023 |
|
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI AttributionsU. Schlegel, D. A. Keim Workshop on Explainable AI for Time Series: Advances and Applications (XAI-TS) @ ECML-PKDD, 2023 |
|
ExpLIMEable: A Visual Analytics Approach for Exploring LIMES. Laguna, J. Heidenreich, J. Sun, N. Çetin, I. Al-Hazwani, U. Schlegel, F. Cheng, M. El-Assady Workshop on Visual Analytics in Healthcare (VAHC) @ IEEE Vis, 2023 |
|
ExpLIMEable: An exploratory framework for LIMES. Laguna, J. Heidenreich, J. Sun, N. Çetin, I. Al-Hazwani, U. Schlegel, F. Cheng, M. El-Assady XAI in Action: Past, Present, and Future Applications @ NeurIPS, 2023 |
|
ViNNPruner: Visual Interactive Pruning for Deep LearningU. Schlegel, S. Schiegg, D. A. Keim Workshop on Machine Learning Methods in Visualisation for Big Data (MLVis) @ EuroVIS, 2022 |
|
Explainable AI for Time Series Classification: A review, taxonomy and research directionsA. Theissler, F. Spinnato, U. Schlegel, R. Guidotti IEEE Access, DOI: 10.1109/ACCESS.2022.3207765, 2022 |
|
Visualisierung der COVID-19-Inzidenzen und Behandlungskapazitäten mit CoronaVisW. Jentner, F. Sperrle, D. Seebacher, M. Kraus, R. Sevastjanova, M. T. Fischer, U. Schlegel, D. Streeb, M. Miller, T. Spinner, E. Cakmak, M. Sharinghousen, P. Meschenmoser, J. Görtler, O. Deussen, F. Stoffel, H.-J. Kabitz, D. A. Keim, M. El-Assady, J. F. Buchmüller 2022 |
|
A Comprehensive Workflow For Effective Imitation and Reinforcement Learning With Visual AnalyticsY. Metz, U. Schlegel, D. Seebacher, M. El-Assady, D. A. Keim EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20221074, 2022 |
|
Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to TextM. El-Assady, R. Kehlbeck, Y. Metz, U. Schlegel, R. Sevastjanova, F. Sperrle, T. Spinner IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides), 2022 |
|
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic GraphsE. Cakmak, U. Schlegel, D. Jäckle, D. A. Keim, T. Schreck IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2020.3030398, 2021 |
|
Task-based Visual Interactive Modeling: Decision Trees and Rule-based ClassifiersD. Streeb, Y. Metz, U. Schlegel, B. Schneider, M. El-Assady, H. Neth, M. Chen, D. A. Keim Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2020.3045560, 2021 |
|
SpatialRugs: A compact visualization of space and time for analyzing collective movement dataJ. Buchmüller, U. Schlegel, E. Cakmak, D. A. Keim, E. Dimara Computers & Graphics, DOI: https://doi.org/10.1016/j.cag.2021.08.003, 2021 |
|
TS-MULE: Local Interpretable Model-AgnosticExplanations for Time Series Forecast ModelsU. Schlegel, D. L. Vo, D. A. Keim, D. Seebacher Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI) @ ECML-PKDD, 2021 |
|
Time Series Model Attribution Visualizations as ExplanationsU. Schlegel, D. A. Keim Workshop on TRust and EXpertise in Visual Analytics (TREX) @ IEEE Vis, 2021 |
|
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual ExplorationT. Spinner, U. Schlegel, M. Schall, F. Sperrle, R. Sevastjanova, B. Gobbo, J. Rauscher, M. El-Assady, D. A. Keim Proceedings of the Workshops of the {EDBT/ICDT} 2021 Joint Conference, 2021 |
|
Towards Visual Debugging for Multi-Target Time Series ClassificationU. Schlegel, E. Cakmak, H. Arnout, M. El-Assady, D. Oelke, D. A. Keim ACM Conference on Intelligent User Interfaces (IUI), 2020 |
|
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel VisualizationsJ. Buchmüller, U. Schlegel, E. Cakmak, E. Dimara, D. A. Keim EuroVis Workshop on Visual Analytics (EuroVA), 2020 |
|
ModelSpeX: Model Specification Using Explainable Artificial Intelligence MethodsU. Schlegel, E. Cakmak, D. A. Keim International Workshop on Machine Learning in Visualisation for Big Data (MLVis) @ EuroVIS, 2020 |
|
Somewraps - Something with Graphs: Visual Analytics of Network DataD. Englert, P. Martinez-Blasco, E. Cakmak, U. Schlegel, J. Buchmüller, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2020 Mini Challenge 1), 2020 |
|
VisMe: Visual and Uncertainty Analysis tool in Object RecognitionT. H. D. Mai, F. Hinderer, E. Cakmak, U. Schlegel, J. Buchmüller, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2020 Mini Challenge 2), 2020 |
|
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series TasksU. Schlegel, D. Oelke, D. A. Keim, M. El-Assady Workshop on Pre-registration @ NeurIPS, 2020 |
|
Visual Analytics for Supporting Conflict Resolution in Large Railway NetworksU. Schlegel, W. Jentner, J. Buchmüller, E. Cakmak, G. Castiglia, R. Canepa, S. Petralli, L. Oneto, D. A. Keim, D. Anguita 2019 INNS Big Data and Deep Learning (INNSBDDL 2019), 2019 |
|
Human Trust Modeling for Bias Mitigation in Artificial IntelligenceF. Sperrle, U. Schlegel, D. A. Keim, M. El-Assady ACM CHI 2019 Workshop: Where is the Human? Bridging the Gap Between AI and HCI, 2019 |
|
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine LearningT. Spinner, U. Schlegel, H. Schäfer, M. El-Assady IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2019.2934629, 2019 |
|
N.E.A.T. - Novel Emergency Analysis ToolW. Jentner, J. Buchmüller, F. Sperrle, R. Sevastjanova, T. Spinner, U. Schlegel, D. Streeb, H. Schäfer IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2019 Grand Challenge) // Grand Challenge Award for Strong Support for Cross-Team Collaboration, 2019 |
|
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine LearningA. Majumdar, G. Ymeri, S. Strumbelj, J. Buchmüller, U. Schlegel, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2019 Mini Challenge 1), 2019 |
|
cpmViz: a web-based visualization tool for uncertain spatiotemporal dataF. Nagel, G. Castiglia, G. Ademaj, J. Buchmüller, U. Schlegel, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2019 Mini Challenge 2), 2019 |
|
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster SituationsA. Jeitler, A. Türkoglu, D. Makarov, T. Jockers, J. Buchmüller, U. Schlegel, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2019 Mini Challenge 3), 2019 |
|
Towards a Rigorous Evaluation of XAI Methods on Time SeriesU. Schlegel, H. Arnout, M. El-Assady, D. Oelke, D. A. Keim Workshop on Interpreting and Explaining Visual Artificial Intelligence Models @ ICCV, DOI: 10.1109/ICCVW.2019.00516, 2019 |
|
Towards XAI: structuring the processes of explanationsM. El-Assady, W. Jentner, R. Kehlbeck, U. Schlegel, R. Sevastjanova, F. Sperrle, T. Spinner, D. A. Keim Proceedings of the ACM Workshop on Human-Centered Machine Learning, Glasgow, UK, 2019 |
|
G-Rap: interactive text synthesis using recurrent neural network suggestionsU. Schlegel, E. Cakmak, J. Buchmüller, D. A. Keim European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2018 |
|
Interactive Classification Using Spectrograms and Audio GlyphsE. Cakmak, U. Schlegel, M. Miller, J. Buchmüller, W. Jentner, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1), 2018 |
|
|
SIZE: Satellite Image Zooming and ExplorationU. Schlegel, A. Diehl, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC3), 2017 |
|
|
Uncovering the Mistford Toxic ConspiracyD. Streeb, J. Buchmüller, U. Schlegel, W. Jentner, M. Behrisch, B. Schneider, D. Seebacher Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, AZ, USA, October 3-6, 2017, DOI: 10.1109/VAST.2017.8585661, 2017 |
|
Using Visual Analytics to Analyze Movement and Action PatternsD. Streeb, U. Schlegel, J. Buchmüller, F. Fischer, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 MC1), DOI: 10.1109/VAST.2015.7347665, 2015 |