Udo Schlegel

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Visual Analytics

Forecast Models

Emergency Response

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Jakub Lokoc, Zuzana Vopálková, Michael Stroh, Raphael Buchmueller, Udo Schlegel
PraK Tool: An Interactive Search Tool Based on Video Data Services. MMM (4) (2024)
Zuzana Vopálková, Jakub Yaghob, Michael Stroh, Udo Schlegel, Jakub Lokoc
Searching Temporally Distant Activities in Lifelog Data With PraK Tool V2. LSC@ICMR (2024)
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR (2023)
Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady
ExpLIMEable: A Visual Analytics Approach for Exploring LIME. VAHC (2023)
Udo Schlegel, Daniel A. Keim
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions. CoRR (2023)
Udo Schlegel, Daniel A. Keim
Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations. MLVis@EuroVis (2023)
Udo Schlegel, Daniel A. Keim
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. xAI (3) (2023)
Udo Schlegel, Daniel A. Keim
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. CoRR (2023)
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
ViNNPruner: Visual Interactive Pruning for Deep Learning. CoRR (2022)
Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. IEEE Trans. Vis. Comput. Graph. 28 (9) (2022)
Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. IEEE Access 10 (2022)
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
ViNNPruner: Visual Interactive Pruning for Deep Learning. MLVis@EuroVis (2022)
Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. EuroVA@EuroVis (2022)
Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. EDBT/ICDT Workshops (2021)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. PKDD/ECML Workshops (1) (2021)
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Udo Schlegel, Daniel A. Keim
Time Series Model Attribution Visualizations as Explanations. CoRR (2021)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR (2021)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Comput. Graph. 101 (2021)
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. CoRR (2020)
Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
Towards visual debugging for multi-target time series classification. IUI (2020)
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. CoRR (2020)
Udo Schlegel, Eren Cakmak, Daniel A. Keim
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods. MLVis@Eurographics/EuroVis (2020)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. EuroVA@Eurographics/EuroVis (2020)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. CoRR (2020)
Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model. VAST (2019)
Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data. VAST (2019)
Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL (2019)
Wolfgang Jentner, Juri Buchmüller, Fabian Sperrle, Rita Sevastjanova, Thilo Spinner, Udo Schlegel, Dirk Streeb, Hanna Schäfer
N.E.A.T. - Novel Emergency Analysis Tool. VAST (2019)
Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. VAST (2019)
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
Towards a Rigorous Evaluation of XAI Methods on Time Series. CoRR (2019)
Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. CoRR (2019)
Eren Cakmak, Udo Schlegel, Matthias Miller, Juri Buchmüller, Wolfgang Jentner, Daniel A. Keim
Interactive Classification Using Spectrograms and Audio Glyphs. VAST (2018)
Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim
G-Rap: interactive text synthesis using recurrent neural network suggestions. ESANN (2018)
Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher
Uncovering the Mistford Toxic Conspiracy. VAST (2017)
Udo Schlegel, Alexandra Diehl, Daniel A. Keim
SIZE: Satellite Image Zooming and Exploration. VAST (2017)
Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim
Using visual analytics to analyze movement and action patterns. VAST (2015)