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Theresia Gschwandtner
Theresia Gschwandtner
Vienna University of Technology
Bestätigte E-Mail-Adresse bei ifs.tuwien.ac.at
Titel
Zitiert von
Zitiert von
Jahr
Characterizing guidance in visual analytics
D Ceneda, T Gschwandtner, T May, S Miksch, HJ Schulz, M Streit, ...
IEEE transactions on visualization and computer graphics 23 (1), 111-120, 2016
2822016
The state‐of‐the‐art of set visualization
B Alsallakh, L Micallef, W Aigner, H Hauser, S Miksch, P Rodgers
Computer Graphics Forum 35 (1), 234-260, 2016
1692016
A taxonomy of dirty time-oriented data
T Gschwandtner, J Gärtner, W Aigner, S Miksch
International Conference on Availability, Reliability, and Security, 58-72, 2012
1262012
CareCruiser: Exploring and visualizing plans, events, and effects interactively
T Gschwandtner, W Aigner, K Kaiser, S Miksch, A Seyfang
2011 IEEE pacific visualization symposium, 43-50, 2011
992011
A review of guidance approaches in visual data analysis: A multifocal perspective
D Ceneda, T Gschwandtner, S Miksch
Computer Graphics Forum 38 (3), 861-879, 2019
952019
Visual encodings of temporal uncertainty: A comparative user study
T Gschwandtnei, M Bögl, P Federico, S Miksch
IEEE transactions on visualization and computer graphics 22 (1), 539-548, 2015
942015
Eva: Visual analytics to identify fraudulent events
RA Leite, T Gschwandtner, S Miksch, S Kriglstein, M Pohl, E Gstrein, ...
IEEE transactions on visualization and computer graphics 24 (1), 330-339, 2017
832017
TimeCleanser: A visual analytics approach for data cleansing of time-oriented data
T Gschwandtner, W Aigner, S Miksch, J Gärtner, S Kriglstein, M Pohl, ...
Proceedings of the 14th international conference on knowledge technologies …, 2014
722014
Visual analytics for event detection: Focusing on fraud
RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner
Visual Informatics 2 (4), 198-212, 2018
612018
Mean-field model for the growth and coarsening of stoichiometric precipitates at grain boundaries
E Kozeschnik, J Svoboda, R Radis, FD Fischer
Modelling and simulation in materials science and engineering 18 (1), 015011, 2009
482009
Guide me in analysis: A framework for guidance designers
D Ceneda, N Andrienko, G Andrienko, T Gschwandtner, S Miksch, ...
Computer Graphics Forum 39 (6), 269-288, 2020
412020
Perspectives of visualization onboarding and guidance in VA
C Stoiber, D Ceneda, M Wagner, V Schetinger, T Gschwandtner, M Streit, ...
Visual Informatics 6 (1), 68-83, 2022
392022
Capturing and visualizing provenance from data wrangling
C Bors, T Gschwandtner, S Miksch
IEEE computer graphics and applications 39 (6), 61-75, 2019
392019
Exploration and explanation in data-driven storytelling
A Thudt, J Walny, T Gschwandtner, J Dykes, J Stasko
Data-Driven Storytelling, 59-83, 2018
332018
Visual interactive creation, customization, and analysis of data quality metrics
C Bors, T Gschwandtner, S Kriglstein, S Miksch, M Pohl
Journal of Data and Information Quality (JDIQ) 10 (1), 1-26, 2018
322018
Visual analytics meets process mining: challenges and opportunities
T Gschwandtner
Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International …, 2017
302017
Challenges of time-oriented data in visual analytics for healthcare
W Aigner, P Federico, T Gschwandtner, S Miksch, A Rind
IEEE VisWeek workshop on visual analytics in healthcare 4, 2012
272012
Guidance or No Guidance? A Decision Tree Can Help.
D Ceneda, T Gschwandtner, T May, S Miksch, M Streit, C Tominski
EuroVA@ EuroVis, 19-23, 2018
262018
Know your enemy: Identifying quality problems of time series data
T Gschwandtner, O Erhart
2018 IEEE Pacific Visualization Symposium (PacificVis), 205-214, 2018
262018
Neva: Visual analytics to identify fraudulent networks
R A. Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner
Computer Graphics Forum 39 (6), 344-359, 2020
252020
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