Record link: 
http://hdl.handle.net/20.500.12708/189927
-
Title: 
Data Type Agnostic Visual Sensitivity Analysis
en
Citation: 
Piccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023, October 26). Data Type Agnostic Visual Sensitivity Analysis [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/189927
-
Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
-
Authors: 
Piccolotto, Nikolaus 
Bögl, Markus 
Mühlmann, Christoph 
Nordhausen, Klaus 
Filzmoser, Peter 
Schmidt, Johanna 
Miksch, Silvia 
-
Organisational Unit: 
E193-07 - Forschungsbereich Visual Analytics 
E105-06 - Forschungsbereich Computational Statistics 
E193-02 - Forschungsbereich Computer Graphics 
-
Date (published): 
26-Oct-2023
-
Event name: 
IEEE VIS 2023 
en
Event date: 
22-Oct-2023 - 27-Oct-2023
-
Event place: 
Melbourne, Australia
-
Keywords: 
Visual Analytics; Visualization
en
Project title: 
Blind Source Separation in Time and Space: P 31881-N32 (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
Guidance-Enriched Visual Analytics for Temporal Data: ICT19-47 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
-
Research Areas: 
Visual Computing and Human-Centered Technology: 100%
-
Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
-
Appears in Collections:
Presentation

Show full item record

Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.

Page view(s)

8
checked on Nov 28, 2023

Google ScholarTM

Check