Daniela Oelke

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 14

Top Venues

CoRR

Dagstuhl Reports

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

University of Konstanz (PHD)

Education History

University of Konstanz

PHD

Publications

Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR (2023)
Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12 (8) (2022)
Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41 (6) (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)
Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10 (4) (2020)
Matthias Kraus, Niklas Weiler, Daniela Oelke, Johannes Kehrer, Daniel A. Keim, Johannes Fuchs
The Impact of Immersion on Cluster Identification Tasks. 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)
Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, Jayaraman J. Thiagarajan
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). Dagstuhl Reports 9 (11) (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)
Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
Towards A Rigorous Evaluation Of XAI Methods On Time Series. ICCV Workshops (2019)
Jindong Gu, Daniela Oelke
Understanding Bias in Machine Learning. CoRR (2019)
Alexander Jäger, Sebastian Mittelstädt, Daniela Oelke, Sonja Sander, Axel Platz, Gies Bouwman, Daniel A. Keim
Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management. EuroVA@EuroVis (2016)
Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister
Errata to "Guidelines for Effective Usage of Text Highlighting Techniques" [1]. IEEE Trans. Vis. Comput. Graph. 22 (5) (2016)
Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister
Guidelines for Effective Usage of Text Highlighting Techniques. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Jinseok Nam, Christian Kirschner, Zheng Ma, Nicolai Erbs, Susanne Neumann, Daniela Oelke, Steffen Remus, Chris Biemann, Judith Eckle-Kohler, Johannes Fürnkranz, Iryna Gurevych, Marc Rittberger, Karsten Weihe
Knowledge Discovery in Scientific Literature. KONVENS (2014)
Daniela Oelke, Hendrik Strobelt, Christian Rohrdantz, Iryna Gurevych, Oliver Deussen
Comparative Exploration of Document Collections: a Visual Analytics Approach. Comput. Graph. Forum 33 (3) (2014)
Daniela Oelke, Iryna Gurevych
A study on human-generated tag structures to inform tag cloud layout. AVI (2014)
Daniela Oelke, Dimitrios Kokkinakis, Daniel A. Keim
Fingerprint Matrices: Uncovering the dynamics of social networks in prose literature. Comput. Graph. Forum 32 (3) (2013)
Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim
Visual Readability Analysis: How to Make Your Writings Easier to Read. IEEE Trans. Vis. Comput. Graph. 18 (5) (2012)
Daniela Oelke, Benno Geißelmann, Daniel A. Keim
Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles. EuroVA@EuroVis (2012)
Daniela Oelke, Dimitrios Kokkinakis, Mats Malm
Advanced Visual Analytics Methods for Literature Analysis. LaTeCH@EACL (2012)
Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke
Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum 11 (3) (2011)
Franz Wanner, Johannes Fuchs, Daniela Oelke, Daniel A. Keim
Are my Children Old Enough to Read these Books? Age Suitability Analysis. Polibits 43 (2011)
Daniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim
Visual Boosting in Pixel-based Visualizations. Comput. Graph. Forum 30 (3) (2011)
Svenja Simon, Daniela Oelke, Richard Landstorfer, Klaus Neuhaus, Daniel A. Keim
Visual analysis of next-generation sequencing data to detect overlapping genes in bacterial genomes. BioVis (2011)
Klaus Neuhaus, Daniela Oelke, David Fürst, Siegfried Scherer, Daniel A. Keim
Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. EvoBIO (2010)
Milos Krstajic, Peter Bak, Daniela Oelke, Daniel A. Keim, Martin Atkinson, William Ribarsky
Applied Visual Exploration on Real-time News Feeds using Polarity and Geo-spatial Analysis. WEBIST (1) (2010)
Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler
Advanced visual analytics interfaces. AVI (2010)
Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim
Visual readability analysis: How to make your writings easier to read. IEEE VAST (2010)
Hendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen
Document Cards: A Top Trumps Visualization for Documents. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Daniel A. Keim, Daniela Oelke, Christian Rohrdantz
Analyzing Document Collections via Context-Aware Term Extraction. NLDB (2009)
Daniela Oelke, Ming C. Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko
Visual opinion analysis of customer feedback data. IEEE VAST (2009)
Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Discovery Science (2008)
Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon
Visual evaluation of text features for document summarization and analysis. IEEE VAST (2008)
Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. ALT (2008)
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay
Density Displays for Data Stream Monitoring. Comput. Graph. Forum 27 (3) (2008)
Daniel A. Keim, Daniela Oelke
Literature Fingerprinting: A New Method for Visual Literary Analysis. IEEE VAST (2007)
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. LWA (2006)
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. BIBE (2006)

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Publication Activity (10 Years)

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Daniela Oelke