Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hannah P. Cowley"'
Autor:
Alan C. Brown, Phillip T. Koshute, Hannah P. Cowley, Michael S. Robinette, Sarah R. Gravelyn, Shraddha V. Patel, Eunice Y. Ju, Carolyn T. Frommer, Alexander E. Zambidis, Eric J. Schneider, Martina Y. Zhao, Benny K. Mugo, William Clarke, Kate Kruczynski, Nora Pisanic, Christopher D. Heaney, Teresa A. Colella
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 4 (2023)
ABSTRACT The objective of the study was to estimate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence in the Howard County, Maryland, general population and demographic subpopulations attributable to natural infection or cor
Externí odkaz:
https://doaj.org/article/b72bd0be4bf8472b95915b168c5313f7
Autor:
Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes, Erik C. Johnson, Nathan Drenkow, Timothy M. Shead, Frances S. Chance, Brock Wester, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative to that of human performers. In
Externí odkaz:
https://doaj.org/article/d2faa0a8f65b40c6a51806d5207f70b7
Autor:
Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes, Erik C. Johnson, Nathan Drenkow, Timothy M. Shead, Frances S. Chance, Brock Wester, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/87b8e24249cb411b8c6d752eedbac860
Publikováno v:
Big Data Analytics, Vol 5, Iss 1, Pp 1-15 (2020)
Abstract Background As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public
Externí odkaz:
https://doaj.org/article/f1087fc0f6f24ce5a1a5f8af57440ed3
Autor:
Rebecca E. Rhodes, Hannah P. Cowley, Jay G. Huang, William Gray-Roncal, Brock A. Wester, Nathan Drenkow
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Aerial images are frequently used in geospatial analysis to inform responses to crises and disasters but can pose unique challenges for visual search when they contain low resolution, degraded information about color, and small object sizes. Aerial i
Externí odkaz:
https://doaj.org/article/7c019f309df34f5392d9fee7f36c4f8a
Autor:
Hannah P, Cowley, Mandy, Natter, Karla, Gray-Roncal, Rebecca E, Rhodes, Erik C, Johnson, Nathan, Drenkow, Timothy M, Shead, Frances S, Chance, Brock, Wester, William, Gray-Roncal
Publikováno v:
Scientific reports. 12(1)
Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative to that of human performers. In turn, the
Publikováno v:
Big data analytics
Background As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be e
Autor:
Hannah P. Cowley, Corban G. Rivera, Konrad P. Kording, Erik C. B. Johnson, Miller Wilt, Jordan Matelsky, Brock A. Wester, Raphael Norman-Tenazas, Elizabeth P. Reilly, William Gray-Roncal, Luis M Rodriguez, Theodore J. LaGrow, Joseph Downs, Marisa Hughes, Eva L. Dyer, Nathan Drenkow, Dean M. Kleissas
Publikováno v:
GigaScience
Background Emerging neuroimaging datasets (collected with imaging techniques such as electron microscopy, optical microscopy, or X-ray microtomography) describe the location and properties of neurons and their connections at unprecedented scale, prom
Publikováno v:
Big Data Analytics, Vol 5, Iss 1, Pp 1-15 (2020)
BackgroundAs the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be es
Autor:
Gerald Matthews, Shannon Wasko, Megan Goforth, Nathan Bos, Alice Leung, Jonathon Kopecky, Hannah P. Cowley, Rebecca Rhodes, Satish G. Iyengar
Publikováno v:
Computers & Security. 107:102314
Insider threats are individuals who pose significant security risks but are difficult to identify with traditional methods that rely on passively collected data. Recently, active indicators have been developed as a more active monitoring method desig