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pro vyhledávání: '"Elizabeth Leeds Hohman"'
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63:126-130
This paper describes the development and new application of a text modeling process for identifying human factors topics, such as fatigue, workload, and distraction in aviation safety reports. Current approaches to identifying human factors topic rep
Autor:
Jesse Patsolic, Kevin Kiernan, Elizabeth Leeds Hohman, Sophia Lam, Trevor Kent, Ian McCulloh, Marjorie Willner, Collin Schwantes, Katherine Schulz, Viveca Pavon-Harr
Publikováno v:
2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)
Understanding how underlying health conditions and social determinants of health affect the severity of COVID-19 is critical for community response planning. Literature reports that groups at higher risk from COVID-19 include those 65 and older, livi
Publikováno v:
Online Journal of Public Health Informatics
We discuss our efforts in detection and tracking using Twitter data collected from January 2013 to the present and discuss various issues that arise in using Twitter data. We discuss various keyword methods, as well as methods for classifying a user
Publikováno v:
CIDM
In this paper we consider the problem of analyzing streaming documents, in particular streaming news stories. The system is designed to extract statistics from the document, incorporate these into a graph-based model, and discard the document to redu