Geovisual Analytics and Interactive Machine Learning for Situational Awareness

no code implementations • 11 Oct 2019 • 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.

Attribute BIG-bench Machine Learning

City-level Geolocation of Tweets for Real-time Visual Analytics

no code implementations • 5 Oct 2019 • Luke S. Snyder, Morteza Karimzadeh, Ray Chen, David S. Ebert

In this paper, we adapt, improve, and evaluate a state-of-the-art deep learning model for city-level geolocation prediction, and integrate it with a visual analytics system tailored for real-time situational awareness.

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

no code implementations • 1 Aug 2019 • Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert

We present a novel interactive learning framework to improve the classification process in which the user iteratively corrects the relevancy of tweets in real-time to train the classification model on-the-fly for immediate predictive improvements.

Classification General Classification