Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Scotland Leman"'
Autor:
Haitham Marakeby, Eman Badr, Hanaa Torkey, Yuhyun Song, Scotland Leman, Caroline L Monteil, Lenwood S Heath, Boris A Vinatzer
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e89142 (2014)
A broadly accepted and stable biological classification system is a prerequisite for biological sciences. It provides the means to describe and communicate about life without ambiguity. Current biological classification and nomenclature use the speci
Externí odkaz:
https://doaj.org/article/d2c4e2d5e32c485d841489dfec126473
Autor:
Rongman Cai, James Lewis, Shuangchun Yan, Haijie Liu, Christopher R Clarke, Francesco Campanile, Nalvo F Almeida, David J Studholme, Magdalen Lindeberg, David Schneider, Massimo Zaccardelli, Joao C Setubal, Nadia P Morales-Lizcano, Adriana Bernal, Gitta Coaker, Christy Baker, Carol L Bender, Scotland Leman, Boris A Vinatzer
Publikováno v:
PLoS Pathogens, Vol 7, Iss 8, p e1002130 (2011)
Recently, genome sequencing of many isolates of genetically monomorphic bacterial human pathogens has given new insights into pathogen microevolution and phylogeography. Here, we report a genome-based micro-evolutionary study of a bacterial plant pat
Externí odkaz:
https://doaj.org/article/47692a6fef884abd9a4b90cc824ff654
Autor:
Aaron Defreitas, W. Nathan Alexander, William Devenport, Sierra Merkes, Scotland Leman, Eric Smith, Aurelien Borgoltz
Publikováno v:
AIAA Journal. 60:2297-2307
Publikováno v:
Physical Geography. 43:614-637
Understanding species distributions remains central to research in ecology and biogeography. Emphasis is placed on the spatial presence/absence of plants as related to underlying environmental fact...
Autor:
Nicholas F. Polys, John Wenskovitch, Peter Hauck, Leanna House, Michelle Dowling, Scotland Leman, Nathan Wycoff, Brian Mayer, Chris North
Publikováno v:
Big Data Research. 16:49-58
Analysts face many steep challenges when performing sensemaking tasks on collections of textual information larger than can be reasonably analyzed without computational assistance. To scale up such sensemaking tasks, new methods are needed to interac
Publikováno v:
Computational Statistics & Data Analysis. 128:340-353
Dimension reduction and visualization are staples of data analytics. Methods such as Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) provide low dimensional (LD) projections of high dimensional (HD) data while preserving an HD r
Autor:
William J. Devenport, Aaron Defreitas, Scotland Leman, Sierra N. Merkes, William N. Alexander, Eric E. Smith
Publikováno v:
AIAA Scitech 2021 Forum.
Autor:
Sierra N. Merkes, Eric P. Smith, Aaron Defreitas, Aurelien Borgoltz, William N. Alexander, William J. Devenport, Scotland Leman
Publikováno v:
AIAA Scitech 2020 Forum.
Publikováno v:
Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis ISBN: 9783030495695
HCI (14)
HCI (14)
While some polarization is potentially beneficial for democracy, hyper-polarization can lead to political gridlock, tribalism, and even physical violence. Given the gravity of these concerns, we use data from 1,424 residents of Virginia, USA to inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28366d8b4df338f2959e17cd1361ffe6
https://doi.org/10.1007/978-3-030-49570-1_17
https://doi.org/10.1007/978-3-030-49570-1_17
Autor:
John Wenskovitch, Ian Crandell, Jessica Zeitz Self, Chris North, Ming Wang, Scotland Leman, Michelle Dowling, Leanna House
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 8:1-36
Exploring high-dimensional data is challenging. Dimension reduction algorithms, such as weighted multidimensional scaling, support data exploration by projecting datasets to two dimensions for visualization. These projections can be explored through