Information for

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Dipl.-Inf. Rudolf Netzel

Dipl.-Inf. Rudolf Netzel

Office: VISUS-Gebäude 00.007

Universität Stuttgart
Allmandring 19
70569 Stuttgart

Phone Number: +49 (711) 685-88625

Telefax Number: +49 (711) 685-88620

E-Mail Address: rudolf.netzel@visus.uni-stuttgart.de

Publikationen

2017

An Evaluation of Visual Search Support in Maps
Netzel, Rudolf; Hlawatsch, Marcel; Burch, Michael; Balakrishnan, Sanjeev; Schmauder, Hansjörg; Weiskopf, Daniel: An Evaluation of Visual Search Support in Maps. In: IEEE Transactions on Visualization and Computer Graphics: Vol. 23, No. 1 (2017), pp. 421-430.
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Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants
Rodrigues, Nils; Netzel, Rudolf; Ullah, Kazi R.; Burch, Michael; Schultz, Alexander; Burger, Bruno; Weiskopf, Daniel: Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants. In: VINCI 2017 (to appear).
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2016

The Challenges of Designing Metro Maps
Burch, Michael; Woods, Robin; Netzel, Rudolf; Weiskopf, Daniel: The Challenges of Designing Metro Maps. In: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2016), pp. 195-202.
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Interactive Scanpath-Oriented Annotation of Fixations
Netzel, Rudolf; Burch, Michael; Weiskopf, Daniel: Interactive Scanpath-Oriented Annotation of Fixations. In: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (2016), pp. 183-187.
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Netzel, Rudolf; Burch, Michael; Weiskopf, Daniel: User Performance and Reading Strategies for Metro Maps: An Eye Tracking Study. In: Special Issue on Eye Tracking for Spatial Research in Spatial Cognition and Computation: An Interdisciplinary Journal (2016) (to appear).
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An Expert Evaluation of Word-Sized Visualizations for Analyzing Eye Movement Data
Beck, Fabian; Acurana, Yasett; Blascheck, Tanja; Netzel, Rudolf; Weiskopf, Daniel: An Expert Evaluation of Word-Sized Visualizations for Analyzing Eye Movement Data. In: , 2016.
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Burch, Michael; Netzel, Rudolf; Weiskopf, Daniel: How Map Design Can Benefit From Eye Tracking. In: BCS/SoC Mapping Conference (to appear).
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Kumar, Ayush; Netzel, Rudolf; Burch, Michael; Weiskopf, Daniel; Mueller, Klaus: Multi-Similarity Matrices of Eye Movement Data. In: , 2016.
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Hilbert Attention Maps for Visualizing Spatiotemporal Gaze Data
Netzel, Rudolf; Weiskopf, Daniel: Hilbert Attention Maps for Visualizing Spatiotemporal Gaze Data. In: (to appear).
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Generative Data Models for Validation and Evaluation of Visualization Techniques
Schulz, Christoph; Nocaj, Arlind; El-Assady, Mennatallah; Frey, Steffen; Hlawatsch, Marcel; Hund, Michael; Karch, Grzegorz K.; Netzel, Rudolf; Schätzle, Christin; Butt, Miriam; Keim, Daniel A.; Ertl, Thomas; Brandes, Ulrik; Weiskopf, Daniel: Generative Data Models for Validation and Evaluation of Visualization Techniques. In: BELIV '16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, pp. 112-124, 2016.
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2014

Comparative Eye Tracking Study on Node-Link Visualizations of Trajectories
Netzel, Rudolf; Burch, Michael; Weiskopf, Daniel: Comparative Eye Tracking Study on Node-Link Visualizations of Trajectories. In: IEEE Transactions on Visualization and Computer Graphics: Vol. 20, No. 12 (2014), pp. 2221-2230.
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2013

Netzel, Rudolf; Weiskopf, Daniel: Texture-Based Flow Visualization. In: Computing in Science & Engineering: Vol. 15, No. 6 (2013), pp. 96-102.
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2012

Inter-Active Learning of Ad-Hoc Classifiers for Video Visual Analytics
Höferlin, Benjamin; Netzel, Rudolf; Höferlin, Markus; Weiskopf, Daniel; Heidemann, Gunther: Inter-Active Learning of Ad-Hoc Classifiers for Video Visual Analytics. In: IEEE Conference on Visual Analytics Science and Technology (VAST), 2012, pp. 23-32, 2012.
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Spectral Analysis of Higher-Order and BFECC Texture Advection
Netzel, Rudolf; Ament, Marco; Burch, Michael; Weiskopf, Daniel: Spectral Analysis of Higher-Order and BFECC Texture Advection. In: Workshop on Vision, Modeling and Visualization (VMV), pp. 87-94, 2012.
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Lehre

Betreute Arbeiten von Studenten

Project-INF:

  • Vergleich von Klassifikatoren
  • Project-INF: Ein quantitativer Vergleich von Fixationsfiltern

 

Bachelorarbeiten:

  • Ein adaptierbares Rahmenwerk für die Annotation von Skalar- und Vektorfelddaten