Browsing 38-Issue 3 by Subject "Visual analytics"
Now showing items 1-11 of 11
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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, ... -
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 ... -
CV3: Visual Exploration, Assessment, and Comparison of CVs
(The Eurographics Association and John Wiley & Sons Ltd., 2019)The Curriculum Vitae (CV, also referred to as ''résumé'') is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatio-temporal, ... -
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 ... -
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 ... -
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 ... -
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 ... -
Visual-Interactive Preprocessing of Multivariate Time Series Data
(The Eurographics Association and John Wiley & Sons Ltd., 2019)Pre-processing is a prerequisite to conduct effective and efficient downstream data analysis. Pre-processing pipelines often require multiple routines to address data quality challenges and to bring the data into a usable ... -
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 ...