Browsing EuroVA: International Workshop on Visual Analytics by Title
Now showing items 44-63 of 190
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Finding Arbitrary Shaped Clusters with Related Extents in Space and Time
(The Eurographics Association, 2010)The paper deals with density-based clustering of events, i.e. objects positioned in space and time, such as occurrences of earthquakes, forest fires, mobile phone calls, or photos with geographical references. Finding ... -
A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics
(The Eurographics Association, 2011)Land cover change analysis serves as a basis for planning processes in a wide range of applications. For this task, the use of remote sensing data has become more popular over the last decades. However, despite much research ... -
From Ill-defined Problems to Informed Decisions
(The Eurographics Association, 2014)Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece ... -
Frontmatter: EuroVA 2015 EuroVis Workshop on Visual Analytics
(Eurographics Association, 2015) -
A Generic Model for Projection Alignment Applied to Neural Network Visualization
(The Eurographics Association, 2020)Dimensionality reduction techniques are popular tools for the visualization of neural network models due to their ability to display hidden layer activations and aiding the understanding of how abstract representations are ... -
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
(The Eurographics Association, 2015)The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ... -
Graph Visualization Using Hierarchical Edge Routing and Bundling
(The Eurographics Association, 2012)Driven by rapidly growing application areas such as semantic knowledge bases and social networks, visualization of large graphs has been gaining importance recently. A large amount of nodes and intersecting edges presents ... -
Guidance for Multi-Type Entity Graphs from Text Collections
(The Eurographics Association, 2017)The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may ... -
Guidance or No Guidance? A Decision Tree Can Help
(The Eurographics Association, 2018)Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ... -
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
(The Eurographics Association, 2014)Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. ... -
How Sensemaking Tools Influence Display Space Usage
(The Eurographics Association, 2017)We explore how the availability of a sensemaking tool influences users' knowledge externalization strategies. On a large display, users were asked to solve an intelligence analysis task with or without a bidirectionally ... -
Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study
(The Eurographics Association, 2023)Feature ideation is a crucial early step in the feature extraction process, where new features are extracted from raw data. For phenomena existing in time series data, this often includes the ideation of statistical ... -
Immersive 3D Visualization of Multi-Modal Brain Connectivity
(The Eurographics Association, 2021)In neuroscience, the investigation of connectivity between different brain regions suffers from the lack of adequate solutions for visualizing detected networks. One reason is the high number of dimensions that have to be ... -
Immersive Analytics of Heterogeneous Biological Data Informed through Need-finding Interviews
(The Eurographics Association, 2021)The goal of this work is to improve existing biological analysis processes by means of immersive analytics. In a first step, we conducted need-finding interviews with 12 expert biologists to understand the limits of current ... -
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
(The Eurographics Association, 2015)Nowadays, tracking devices are small and cheap. For analysis tasks, there is no problem to obtain sufficient amounts of data. The challenge is how to make sense of the data, which often contain complex situations. Multiple ... -
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
(The Eurographics Association, 2015)Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely ... -
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
(The Eurographics Association, 2014)The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects ... -
Integrating Predictions in Time Series Model Selection
(The Eurographics Association, 2015)Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ... -
Interactive Analysis of Object Group Changes over Time
(The Eurographics Association, 2011)The analysis of time-dependent data is an important task in various application domains. Often, the analyzed data objects belong to groups. The group memberships may stem from natural arrangements (e.g., animal herds), or ... -
Interactive Image Feature Selection Aided by Dimensionality Reduction
(The Eurographics Association, 2015)Feature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain ...