Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Galen Harrison"'
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Akademický článek
Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
Autor: Shaun Truelove, Claire P Smith, Michelle Qin, Luke C Mullany, Rebecca K Borchering, Justin Lessler, Katriona Shea, Emily Howerton, Lucie Contamin, John Levander, Jessica Kerr, Harry Hochheiser, Matt Kinsey, Kate Tallaksen, Shelby Wilson, Lauren Shin, Kaitlin Rainwater-Lovett, Joseph C Lemairtre, Juan Dent, Joshua Kaminsky, Elizabeth C Lee, Javier Perez-Saez, Alison Hill, Dean Karlen, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Ajitesh Srivastava, Przemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, Mark Orr, Galen Harrison, Benjamin Hurt, Jiangzhuo Chen, Anil Vullikanti, Madhav Marathe, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill, Marta Galanti, Teresa K Yamana, Sen Pei, Jeffrey L Shaman, Jessica M Healy, Rachel B Slayton, Matthew Biggerstaff, Michael A Johansson, Michael C Runge, Cecile Viboud
Publikováno v: eLife, Vol 11 (2022)
In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increase
Externí odkaz: https://doaj.org/article/41cbbf43b8a64af4b8754cd45df5185d
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3
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage
Autor: Galen Harrison, Kyle Chard, Blase Ur, Will Brackenbury, Aaron J. Elmore
Publikováno v: SIGIR
Prior work suggests that users conceptualize the organization of personal collections of digital files through the lens of similarity. However, it is unclear to what degree similar files are actually located near one another (e.g., in the same direct
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a1e4442f56f63c8b7e5678e3da6fc25
https://doi.org/10.1145/3404835.3462845
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4
An empirical study on the perceived fairness of realistic, imperfect machine learning models
Autor: Julia Hanson, Julio Ramirez, Christine Jacinto, Galen Harrison, Blase Ur
Publikováno v: FAT*
There are many competing definitions of what statistical properties make a machine learning model fair. Unfortunately, research has shown that some key properties are mutually exclusive. Realistic models are thus necessarily imperfect, choosing one s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77d9f8404526a0bd807cfac9cd05f1b5
https://doi.org/10.1145/3351095.3372831
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5
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data
Autor: Kyle Chard, Ian Foster, Galen Harrison, Tyler J. Skluzacek, Ryan Chard, Paul Beckman, Rohan Kumar
Publikováno v: eScience
To mitigate the effects of high-velocity data expansion and to automate the organization of filesystems and data repositories, we have developed Skluma-a system that automatically processes a target filesystem or repository, extracts content-and cont
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e69509da60eea3dcbafc31a924bd9e61
https://doi.org/10.1109/escience.2018.00040
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