Udo Schlegel

59 papers A* 1A 1B 1Journal 28Unranked 28
YearRankTypeTitle / Venue / Authors
2026 — conf
PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases.
MMM (4)
Udo Schlegel, Franziska Weeber, Jian Lan, Thomas Seidl
2026 J jnl
What-If Explanations Over Time: Counterfactuals for Time Series Classification.
CoRR
Udo Schlegel, Thomas Seidl
2025 J jnl
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering.
CoRR
Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schütze, Michael A. Hedderich, Thomas Seidl
2025 — conf
MotiVAtor: Analyzing Physical Activity Study Data in Lab and Life through Visual Analytics.
VAHC
Julius Rauscher, Manuel Schmidt, Udo Schlegel, Maik Bieleke, Julia Schüler, Daniel A. Keim
2025 J jnl
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals.
CoRR
Jian Lan, Yifei Fu, Udo Schlegel, Gengyuan Zhang, Tanveer Hannan, Haokun Chen, Thomas Seidl
2025 J jnl
PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases.
CoRR
Udo Schlegel, Franziska Weeber, Jian Lan, Thomas Seidl
2025 J jnl
Towards Explainable Deep Clustering for Time Series Data.
CoRR
Udo Schlegel, Gabriel Marques Tavares, Thomas Seidl
2025 J jnl
Visually Assessing 1-D Orderings of Contiguous Spatial Polygons.
Comput. Graph. Forum
Julius Rauscher, Frederik L. Dennig, Udo Schlegel, Daniel A. Keim, Johannes Fuchs
2025 — conf
Which LIME Should I Trust? Concepts, Challenges, and Solutions.
xAI (2)
Patrick Knab, Sascha Marton, Udo Schlegel, Christian Bartelt
2025 J jnl
Which LIME should I trust? Concepts, Challenges, and Solutions.
CoRR
Patrick Knab, Sascha Marton, Udo Schlegel, Christian Bartelt
2024 — conf
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series.
TempXAI@PKDD/ECML
Udo Schlegel, Daniel A. Keim, Tobias Sutter
2024 J jnl
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series.
CoRR
Udo Schlegel, Daniel A. Keim, Tobias Sutter
2024 — conf
Fishing Vizzard: An Interactive Visual Analytics Tool to Identify Suspicious Fishing Behavior.
VAST Challenge@VIS
Antonella Bidlingmaier, Julian Jandeleit, Fred Kunze, Lisa-Maria Reutlinger, Tolga Tuncer, Udo Schlegel, Daniel A. Keim
2024 J jnl
Interactive Counterfactual Generation for Univariate Time Series.
CoRR
Udo Schlegel, Julius Rauscher, Daniel A. Keim
2024 J jnl
Interactive dense pixel visualizations for time series and model attribution explanations.
CoRR
Udo Schlegel, Daniel A. Keim
2024 J jnl
Leveraging Color Channel Independence for Improved Unsupervised Object Detection.
CoRR
Bastian Jäckl, Yannick Metz, Udo Schlegel, Daniel A. Keim, Maximilian T. Fischer
2024 A* conf
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
NeurIPS
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jaeger
2024 J jnl
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
CoRR
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger
2024 — conf
PraK Tool: An Interactive Search Tool Based on Video Data Services.
MMM (4)
Jakub Lokoc, Zuzana Vopálková, Michael Stroh, Raphael Buchmueller, Udo Schlegel
2024 — conf
Searching Temporally Distant Activities in Lifelog Data With PraK Tool V2.
LSC@ICMR
Zuzana Vopálková, Jakub Yaghob, Michael Stroh, Udo Schlegel, Jakub Lokoc
2024 — conf
VAST 2024-MC2 Challenge.
VAST Challenge@VIS
Funda Yildiz Aydin, Mehmet Emre Sahin, Sinem Bilge Güler, Udo Schlegel, Daniel A. Keim
2024 — conf
Visual Bias Detection for Addressing Illegal Fishing Activities.
VAST Challenge@VIS
Raphael Buchmüller, Daniel Fürst, Alexander Frings, Udo Schlegel, Daniel A. Keim
2023 — conf
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI.
xAI (3)
Udo Schlegel, Daniel A. Keim
2023 J jnl
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI.
CoRR
Udo Schlegel, Daniel A. Keim
2023 — conf
ExpLIMEable: A Visual Analytics Approach for Exploring LIME.
VAHC
Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady
2023 — conf
Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations.
MLVis@EuroVis
Udo Schlegel, Daniel A. Keim
2023 — conf
Introducing the Attribution Stability Indicator: A Measure for Time Series XAI Attributions.
PKDD/ECML Workshops (3)
Udo Schlegel, Daniel A. Keim
2023 J jnl
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions.
CoRR
Udo Schlegel, Daniel A. Keim
2023 J jnl
Visual Explanations with Attributions and Counterfactuals on Time Series Classification.
CoRR
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
2022 — conf
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics.
EuroVA@EuroVis
Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim
2022 J jnl
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.
IEEE Access
Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
2022 J jnl
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers.
IEEE Trans. Vis. Comput. Graph.
Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim
2022 — conf
ViNNPruner: Visual Interactive Pruning for Deep Learning.
MLVis@EuroVis
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
2022 J jnl
ViNNPruner: Visual Interactive Pruning for Deep Learning.
CoRR
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
2021 J jnl
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs.
IEEE Trans. Vis. Comput. Graph.
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
2021 J jnl
SpatialRugs: A compact visualization of space and time for analyzing collective movement data.
Comput. Graph.
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
2021 — conf
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration.
EDBT/ICDT Workshops
Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim
2021 — conf
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models.
PKDD/ECML Workshops (1)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
2021 J jnl
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models.
CoRR
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
2021 J jnl
Time Series Model Attribution Visualizations as Explanations.
CoRR
Udo Schlegel, Daniel A. Keim
2020 J jnl
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks.
CoRR
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
2020 — conf
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods.
MLVis@Eurographics/EuroVis
Udo Schlegel, Eren Cakmak, Daniel A. Keim
2020 J jnl
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs.
CoRR
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
2020 — conf
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations.
EuroVA@Eurographics/EuroVis
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
2020 J jnl
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations.
CoRR
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim
2020 A conf
Towards visual debugging for multi-target time series classification.
IUI
Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
2020 J jnl
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning.
IEEE Trans. Vis. Comput. Graph.
Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady
2019 — conf
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning.
VAST
Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
2019 — conf
N.E.A.T. - Novel Emergency Analysis Tool.
VAST
Wolfgang Jentner, Juri Buchmüller, Fabian Sperrle, Rita Sevastjanova, Thilo Spinner, Udo Schlegel, Dirk Streeb, Hanna Schäfer
2019 — conf
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model.
VAST
Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
2019 J jnl
Towards a Rigorous Evaluation of XAI Methods on Time Series.
CoRR
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
2019 — conf
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks.
INNSBDDL
Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita
2019 — conf
cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data.
VAST
Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
2019 J jnl
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning.
CoRR
Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady
2018 B conf
G-Rap: interactive text synthesis using recurrent neural network suggestions.
ESANN
Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim
2018 — conf
Interactive Classification Using Spectrograms and Audio Glyphs.
VAST
Eren Cakmak, Udo Schlegel, Matthias Miller, Juri Buchmüller, Wolfgang Jentner, Daniel A. Keim
2017 — conf
SIZE: Satellite Image Zooming and Exploration.
VAST
Udo Schlegel, Alexandra Diehl, Daniel A. Keim
2017 — conf
Uncovering the Mistford Toxic Conspiracy.
VAST
Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher
2015 — conf
Using visual analytics to analyze movement and action patterns.
VAST
Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim