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2020 – today
- 2023
[i7]Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady:
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR abs/2307.08494 (2023)- 2022
- [i6]Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke:
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12(8): 103-116 (2022) - 2021
- [j12]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): 7-12 (2021) - 2020
- [j11]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): 525-535 (2020) - [c20]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: 202-206 - [p2]Daniela Oelke, Ariane Sutor:
Collaborations Between Industry and University. Foundations of Data Visualization 2020: 279-283 - [i5]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 abs/2012.04344 (2020) - [i4]Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert:
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10(4): 37-42 (2020)
2010 – 2019
- 2019
- [c19]Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards A Rigorous Evaluation Of XAI Methods On Time Series. ICCV Workshops 2019: 4197-4201 - [i3]Jindong Gu, Daniela Oelke:
Understanding Bias in Machine Learning. CoRR abs/1909.01866 (2019) - [i2]Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards a Rigorous Evaluation of XAI Methods on Time Series. CoRR abs/1909.07082 (2019) - [i1]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): 24-33 (2019) - 2016
- [j10]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): 489-498 (2016) - [j9]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): 1637 (2016) - [c18]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: 1-5 - 2014
- [j8]Daniela Oelke, Hendrik Strobelt, Christian Rohrdantz, Iryna Gurevych, Oliver Deussen:
Comparative Exploration of Document Collections: a Visual Analytics Approach. Comput. Graph. Forum 33(3): 201-210 (2014) - [c17]Daniela Oelke, Iryna Gurevych:
A study on human-generated tag structures to inform tag cloud layout. AVI 2014: 297-304 - [c16]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: 66-76 - 2013
- [j7]Daniela Oelke, Dimitrios Kokkinakis, Daniel A. Keim:
Fingerprint Matrices: Uncovering the dynamics of social networks in prose literature. Comput. Graph. Forum 32(3): 371-380 (2013) - 2012
- [j6]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): 662-674 (2012) - [c15]Daniela Oelke, Dimitrios Kokkinakis, Mats Malm:
Advanced Visual Analytics Methods for Literature Analysis. LaTeCH@EACL 2012: 35-44 - [c14]Daniela Oelke, Benno Geißelmann, Daniel A. Keim:
Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles. EuroVA@EuroVis 2012 - 2011
- [j5]Daniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim:
Visual Boosting in Pixel-based Visualizations. Comput. Graph. Forum 30(3): 871-880 (2011) - [j4]Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke:
Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum 11(3): 195-206 (2011) - [j3]Franz Wanner, Johannes Fuchs, Daniela Oelke, Daniel A. Keim:
Are my Children Old Enough to Read these Books? Age Suitability Analysis. Polibits 43: 93-100 (2011) - [c13]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: 47-54 - 2010
- [b1]Daniela Oelke:
Visual document analysis: towards a semantic analysis of large document collections. University of Konstanz, 2010 - [c12]Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler:
Advanced visual analytics interfaces. AVI 2010: 3-10 - [c11]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: 228-239 - [c10]Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim:
Visual readability analysis: How to make your writings easier to read. IEEE VAST 2010: 123-130 - [c9]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: 263-268 - [p1]Daniel A. Keim, Milos Krstajic, Peter Bak, Daniela Oelke, Florian Mansmann:
Methods for Interactive Exploration of Large-Scale News Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 139-154
2000 – 2009
- 2009
- [j2]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): 1145-1152 (2009) - [c8]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: 187-194 - [c7]Daniel A. Keim, Daniela Oelke, Christian Rohrdantz:
Analyzing Document Collections via Context-Aware Term Extraction. NLDB 2009: 154-168 - 2008
- [j1]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay:
Density Displays for Data Stream Monitoring. Comput. Graph. Forum 27(3): 895-902 (2008) - [c6]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. ALT 2008: 2 - [c5]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Discovery Science 2008: 2-14 - [c4]Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon:
Visual evaluation of text features for document summarization and analysis. IEEE VAST 2008: 75-82 - 2007
- [c3]Daniel A. Keim, Daniela Oelke:
Literature Fingerprinting: A New Method for Visual Literary Analysis. IEEE VAST 2007: 115-122 - 2006
- [c2]Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. BIBE 2006: 183-192 - [c1]Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. LWA 2006: 322-329
Coauthor Index
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