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David S. Ebert

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.HC1
ORCID 0000-0001-6177-1296

identity via Semantic Scholar / OpenAlex

most citedCity-level Geolocation of Tweets for Real-time Visual Analytics

13 citations · 14 across the 3 of their papers we have counts for

collaborators

3 papers

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.SI2019

Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response

Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang +7

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.