
-
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization
Public health officials dealing with pandemics like COVID-19 have to eva...
read it
-
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data
Online sampling-supported visual analytics is increasingly important, as...
read it
-
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision
In order to contain the COVID-19 pandemic, countries around the world ha...
read it
-
Geovisual Analytics and Interactive Machine Learning for Situational Awareness
The first responder community has traditionally relied on calls from the...
read it
-
City-level Geolocation of Tweets for Real-time Visual Analytics
Real-time tweets can provide useful information on evolving events and s...
read it
-
Route Packing: Geospatially-Accurate Visualization of Route Networks
We present route packing, a novel (geo)visualization technique for displ...
read it
-
Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders
Social media data has been increasingly used to facilitate situational a...
read it
-
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images
Feature selection is used in machine learning to improve predictions, de...
read it
-
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
Various domain users are increasingly leveraging real-time social media ...
read it
-
MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies
Evaluating employee performance in organizations with varying workloads ...
read it
-
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling
Social media platforms such as Twitter are filled with social spambots. ...
read it
-
The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics
Many evaluation methods have been used to assess the usefulness of Visua...
read it
-
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Interpretation and diagnosis of machine learning models have gained rene...
read it