Browsing EuroVisPosters2018 by Title
Now showing items 4-16 of 16
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EuroVis 2018 Posters: Frontmatter
(The Eurographics Association, 2018) -
Exploring Uncertainty in Image Segmentation Ensembles
(The Eurographics Association, 2018)Finding the most accurate image segmentation involves analyzing results from different algorithms or parameterizations. In this work, we identify different types of uncertainty in this analysis that are represented by the ... -
Extending Document Exploration with Image Retrieval: Concept and First Results
(The Eurographics Association, 2018)Information retrieval provides to date effective methods to search for documents relevant to user queries, and to support exploration of clusters of similar documents. Typically, the retrieval relies on text-based queries ... -
An Eye-Tracking Study on Sparklines within Textual Context
(The Eurographics Association, 2018)Sparklines are placed in documents but their usability is rarely evaluated in their immediate context of paragraphs of text. We conducted an eye-tracking study to measure readability and understandability of four different ... -
The Impact of Visualizing Uncertainty on Train Trip Selection
(The Eurographics Association, 2018)Train trip planning means deciding on one of several travel connections. Possible train delays lead to uncertainties in the schedule connections and may influence the planning decisions. Although several designs for the ... -
Network Analysis for Financial Fraud Detection
(The Eurographics Association, 2018)Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial ... -
Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations
(The Eurographics Association, 2018)Parameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we ... -
Towards Natural Language Empowered Interactive Data Analysis
(The Eurographics Association, 2018)The recent advances in natural language based interaction methodologies offer promising avenues to enhance the interactive processes within the human-machine dialogue of visual analytics. We envisage Multimodal Data Analytics ... -
Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling
(The Eurographics Association, 2018)This paper describes an analysis of the relationship between human cognition and quantitative measures for a visualization method called edge bundling.Aesthetic rules-based measures, namely, mean edge length difference ... -
ViMEC: Interactive Application for Micro-Cluster Visualizations
(The Eurographics Association, 2018)Digitalization increases the opportunity to collect vast amounts of data in a large scale manner. In order to handle the information overload, data mining techniques like online clustering are performed. A lot of online ... -
Visual Analysis of Sentiment and Stance in Social Media Texts
(The Eurographics Association, 2018)Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated ... -
A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways
(The Eurographics Association, 2018)This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the ... -
Visually Exploring Data Provenance and Quality of Open Data
(The Eurographics Association, 2018)While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...