activity
20082020
most citedManifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

225 citations · 452 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

10 papers · 1 filter

cs.HC2019★ 1 cited

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…

cs.SI2019★ 13 cited

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…

cs.HC2019★ 1 cited

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…

cs.SI2019

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…

cs.HC2019★ 28 cited

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…

cs.SI2019★ 59 cited

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…