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ORCID11th EuroVA@Eurographics/EuroVis 2020: Norrköping, Sweden
- Cagatay Turkay, Katerina Vrotsou:
11th International EuroVis Workshop on Visual Analytics, EuroVA@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-116-8
Visual Analytics Methods and Applications
- Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. 1-5 - Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Michael Sedlmair, Tamara Munzner:
SepEx: Visual Analysis of Class Separation Measures. 7-11 - Kresimir Matkovic, Denis Gracanin, Matea Bardun, Rainer Splechtna, Helwig Hauser:
Dual Radial Set. 13-17 - Hasan Alp Boz, Mohsen Bahrami, Yoshihiko Suhara, Burçin Bozkaya, Selim Balcisoy:
An Exploratory Visual Analytics Tool for Multivariate Dynamic Networks. 19-23 - Vung Pham, Ngan V. T. Nguyen, Tommy Dang:
DualNetView: Dual Views for Visualizing the Dynamics of Networks. 25-29
Visual Analysis of High Dimensional and Temporal Data
- Sara Johansson Fernstad, Alexander Macquisten, Janet E. Berrington, Nicholas D. Embleton, Christopher J. Stewart:
Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data. 31-35 - Daan van Driel, Xiaorui Zhai, Zonglin Tian, Alexandru C. Telea:
Enhanced Attribute-Based Explanations of Multidimensional Projections. 37-41 - Sebastian Loeschcke, Marius Hogräfer, Hans-Jörg Schulz:
Progressive Parameter Space Visualization for Task-Driven SAX Configuration. 43-47 - Bao Dien Quoc Nguyen, Rattikorn Hewett, Tommy Dang:
Congnostics: Visual Features for Doubly Time Series Plots. 49-53 - Katerina Vrotsou, Aida Nordman:
A Window-based Approach for Mining Long Duration Event-sequences. 55-59
Intersecting Humans and AI
- Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. 61-65 - Gabriel Dias Cantareira, Fernando V. Paulovich:
A Generic Model for Projection Alignment Applied to Neural Network Visualization. 67-71 - Martin Müller, Markus Petzold, Marcel Wunderlich, Tom Baumgartl, Markus Höhn, Vanessa Eichel, Nico T. Mutters, Simone Scheithauer, Michael Marschollek, Tatiana von Landesberger:
Visual Analysis for Hospital Infection Control using a RNN Model. 73-77 - Tsung Heng Wu, Ye Zhao, Md. Amiruzzaman:
Interactive Visualization of AI-based Speech Recognition Texts. 79-83
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