Search
Now showing items 1-10 of 13
Latent Space Cartography: Visual Analysis of Vector Space Embeddings
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Latent spaces-reduced-dimensionality vector space embeddings of data, fit via machine learning-have been shown to capture interesting semantic properties and support data analysis and synthesis within a domain. Interpretation ...
Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a ...
IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We introduce IGM-Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment ...
InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators ...
VisFM: Visual Analysis of Image Feature Matchings
(© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
Feature matching is the most basic and pervasive problem in computer vision and it has become a primary component in big data analytics. Many tools have been developed for extracting and matching features in video streams ...
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep-neural-network-based approach that automatically recognizes key elements ...
ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We propose ClustMe, a new visual quality measure to rank monochrome scatterplots based on cluster patterns. ClustMe is based on data collected from a human-subjects study, in which 34 participants judged synthetically ...
ChronoCorrelator: Enriching Events with Time Series
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Event sequences and time series are widely recorded in many application domains; examples are stock market prices, electronic health records, server operation and performance logs. Common goals for recording are monitoring, ...
V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The usage of deep learning models for tagging input data has increased over the past years because of their accuracy and highperformance. A successful application is to score sleep stages. In this scenario, models are ...
A User-based Visual Analytics Workflow for Exploratory Model Analysis
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important ...