Udo Schlegel

According to our database, Udo Schlegel authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PraK Tool: An Interactive Search Tool Based on Video Data Services.

Jakub Lokoc, Zuzana Vopálková, Michael Stroh, Raphael Buchmueller, Udo Schlegel

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions.

Udo Schlegel, Daniel A. Keim

CoRR, 2023

Visual Explanations with Attributions and Counterfactuals on Time Series Classification.

Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady

CoRR, 2023

A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI.

Udo Schlegel, Daniel A. Keim

Proceedings of the Explainable Artificial Intelligence, 2023

ExpLIMEable: A Visual Analytics Approach for Exploring LIME.

Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady

Proceedings of the Workshop on Visual Analytics in Healthcare, 2023

2022

Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers.

Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim

IEEE Trans. Vis. Comput. Graph., 2022

ViNNPruner: Visual Interactive Pruning for Deep Learning.

Udo Schlegel, Samuel Schiegg, Daniel A. Keim

CoRR, 2022

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.

Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti

IEEE Access, 2022

2021

Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs.

Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck

IEEE Trans. Vis. Comput. Graph., 2021

Time Series Model Attribution Visualizations as Explanations.

Udo Schlegel, Daniel A. Keim

CoRR, 2021

SpatialRugs: A compact visualization of space and time for analyzing collective movement data.

Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara

Comput. Graph., 2021

TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models.

Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration.

Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning.

Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady

IEEE Trans. Vis. Comput. Graph., 2020

An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks.

Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady

CoRR, 2020

ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods.

Udo Schlegel, Eren Cakmak, Daniel A. Keim

Proceedings of the 3rd Workshop on Machine Learning Methods in Visualisation for Big Data, 2020

Towards visual debugging for multi-target time series classification.

Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations.

Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara

Proceedings of the 11th International EuroVis Workshop on Visual Analytics, 2020

2019

Towards a Rigorous Evaluation of XAI Methods on Time Series.

Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

CoRR, 2019

Visual Analytics for Supporting Conflict Resolution in Large Railway Networks.

Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data.

Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning.

Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

N.E.A.T. - Novel Emergency Analysis Tool.

Wolfgang Jentner, Juri Buchmüller, Fabian Sperrle, Rita Sevastjanova, Thilo Spinner, Udo Schlegel, Dirk Streeb, Hanna Schäfer

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model.

Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

2018

Interactive Classification Using Spectrograms and Audio Glyphs.

Eren Cakmak, Udo Schlegel, Matthias Miller, Juri Buchmüller, Wolfgang Jentner, Daniel A. Keim

Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

G-Rap: interactive text synthesis using recurrent neural network suggestions.

Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Uncovering the Mistford Toxic Conspiracy.

Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

SIZE: Satellite Image Zooming and Exploration.

Udo Schlegel, Alexandra Diehl, Daniel A. Keim

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

2015

Using visual analytics to analyze movement and action patterns.

Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015