Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Juri Buchmüller"'
Publikováno v:
Computer Graphics Forum. 38:237-247
Visualizing contextual information to a map often comes at the expense of overplotting issues. Especially for use cases with relevant map features in the immediate vicinity of an information to add, occlusion of the relevant map context should be avo
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:76-86
Understanding the movement patterns of collectives, such as flocks of birds or fish swarms, is an interesting open research question. The collectives are driven by mutual objectives or react to individual direction changes and external influence fact
Publikováno v:
PacificVis
The availability of devices that track moving objects has led to an explosive growth in trajectory data. When exploring the resulting large trajectory collections, visual summaries are a useful tool to identify time intervals of interest. A typical a
Segmenting biologging time series of animals on multiple temporal scales is an essential step that requires complex techniques with careful parameterization and possibly cross-domain expertise. Yet, there is a lack of visual-interactive tools that st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6d5f44167aaac05b208ab9634fd3a3
Autor:
Daniel Schweitzer, Johannes Fuchs, Matthias Kraus, Daniel A. Keim, Michael Sedlmair, Katrin Angerbauer, Juri Buchmüller
Publikováno v:
CHI
Heatmaps are a popular visualization technique that encode 2D density distributions using color or brightness. Experimental studies have shown though that both of these visual variables are inaccurate when reading and comparing numeric data values. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b79722ad1cf2de386f6438217cdf63d
Autor:
Luca Oneto, Eren Cakmak, Wolfgang Jentner, Juri Buchmüller, Simone Petralli, Renzo Canepa, Daniel A. Keim, Udo Schlegel, Davide Anguita, Giuliano Castiglia
Publikováno v:
Recent Advances in Big Data and Deep Learning-Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019
Proceedings of the International Neural Networks Society
Proceedings of the International Neural Networks Society-Recent Advances in Big Data and Deep Learning
Proceedings of the International Neural Networks Society ISBN: 9783030168407
INNSBDDL
Proceedings of the International Neural Networks Society
Proceedings of the International Neural Networks Society-Recent Advances in Big Data and Deep Learning
Proceedings of the International Neural Networks Society ISBN: 9783030168407
INNSBDDL
Train operators are responsible for maintaining and following the schedule of large-scale railway transport systems. Disruptions to this schedule imply conflicts that occur when two trains are bound to use the same railway segment. It is upon the tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3e152ce62dc7b5f2451fe1f188611c
Breaking the Curse of Visual Analytics : Accommodating Virtual Reality in the Visualization Pipeline
Autor:
Matthias Miller, Daniel A. Keim, Matthias Kraus, Mennatallah El-Assady, Juri Buchmüller, Manuel Stein, Niklas Weiler
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030415891
VISIGRAPP (Revised Selected Papers)
VISIGRAPP (Revised Selected Papers)
Previous research has exposed the discrepancy between the subject of analysis (real world) and the actual data on which the analysis is performed (data world) as a critical weak spot in visual analysis pipelines. In this paper, we demonstrate how Vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b1bc11f963e7b343fb011552760b821
Publikováno v:
OpenSky
Airspace route planning relies on many regulations and individual factors that can be hard to understand for audiences without advanced domain knowledge. This aspect is problematic if regulations are discussed in complex debates about changing air tr
Autor:
Astrik Jeitler, Juri Buchmüller, Denis Makarov, Daniel A. Keim, Timo Jockers, Alpin Turkoglu, Udo Schlegel
Publikováno v:
VAST
This paper presents RescueMark, a web-based visual analytics tool for analyzing disaster situations and guiding emergency response. In disaster situations operators must take quick and effective decisions to solve critical problems. RescueMark provid
Autor:
Dirk Streeb, Wolfgang Jentner, Udo Schlegel, Hanna Schafer, Juri Buchmüller, Rita Sevastjanova, Fabian Sperrle, Thilo Spinner
Publikováno v:
VAST
We present N.E.A.T. - a Visual Analytics approach to the collaborative management of large-scale emergencies. N.E.A.T. unifies the analysis and annotation of heterogeneous, uncertainty-afflicted data sources in a single, adjustable screen. Stakeholde