59 citations · 162 across the 13 of their papers we have counts for
13 papers
Alternatives to Contour Visualizations for Power Systems Data
Isaiah Lyons-Galante, Morteza Karimzadeh, Samantha Molnar +2
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common pr…
Increasing the Spatial Coverage of Atmospheric Aerosol Depth Measurements Using Random Forest and Mean Filters
Zhongying Wang, Rafael Pires de Lima, James L. Crooks +2
Aerosols play a critical role in atmospheric chemistry, and affect clouds, climate, and human health. However, the spatial coverage of satellite-derived aerosol optical depth (AOD)…
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conve…
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data
Guizhen Wang, Jingjing Guo, Mingjie Tang +6
Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However…
Geovisual Analytics and Interactive Machine Learning for Situational Awareness
Morteza Karimzadeh, Luke S. Snyder, David S. Ebert
The first responder community has traditionally relied on calls from the public, officially-provided geographic information and maps for coordinating actions on the ground. The ubi…
City-level Geolocation of Tweets for Real-time Visual Analytics
Luke S. Snyder, Morteza Karimzadeh, Ray Chen +1
Real-time tweets can provide useful information on evolving events and situations. Geotagged tweets are especially useful, as they indicate the location of origin and provide geogr…
Route Packing: Geospatially-Accurate Visualization of Route Networks
Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu +5
We present route packing, a novel (geo)visualization technique for displaying several routes simultaneously on a geographic map while preserving the geospatial layout, identity, di…
Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders
Luke S. Snyder, Morteza Karimzadeh, Christina Stober +1
Social media data has been increasingly used to facilitate situational awareness during events and emergencies such as natural disasters. While researchers have investigated severa…
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images
Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi +4
Feature selection is used in machine learning to improve predictions, decrease computation time, reduce noise, and tune models based on limited sample data. In this article, we pre…
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh +2
Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively…
MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies
Jieqiong Zhao, Morteza Karimzadeh, Luke S. Snyder +3
Evaluating employee performance in organizations with varying workloads and tasks is challenging. Specifically, it is important to understand how quantitative measurements of emplo…
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling
Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao +1
Social media platforms such as Twitter are filled with social spambots. Detecting these malicious accounts is essential, yet challenging, as they continually evolve and evade tradi…
The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics
Mosab Khayat, Morteza Karimzadeh, David S. Ebert +1
Many evaluation methods have been used to assess the usefulness of Visual Analytics (VA) solutions. These methods stem from a variety of origins with different assumptions and goal…