Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Alexandre Sorokine"'
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246310 (2021)
Named entity recognition (NER) is a key component of many scientific literature mining tasks, such as information retrieval, information extraction, and question answering; however, many modern approaches require large amounts of labeled training dat
Externí odkaz:
https://doaj.org/article/8715c1a164434112b3781efcda58e0e9
Autor:
Robert Stewart, Samantha Erwin, Jesse Piburn, Nicholas Nagle, Jason Kaufman, Alina Peluso, J. Blair Christian, Joshua Grant, Alexandre Sorokine, Budhendra Bhaduri
Publikováno v:
Applied geography (Sevenoaks, England). 146
In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR) model were hampered by limited testing data and key information on mobility, contact tracing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2637682c8394dbaee3e74cb73afcd47d
https://pubmed.ncbi.nlm.nih.gov/35945952
https://pubmed.ncbi.nlm.nih.gov/35945952
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246310 (2021)
PLoS ONE
PLoS ONE
Named entity recognition (NER) is a key component of many scientific literature mining tasks, such as information retrieval, information extraction, and question answering; however, many modern approaches require large amounts of labeled training dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::570dbb712626ef10cdd1459208b87b3a
https://doaj.org/article/8715c1a164434112b3781efcda58e0e9
https://doaj.org/article/8715c1a164434112b3781efcda58e0e9
Autor:
Steven Fernandez, Alexandre Sorokine
Publikováno v:
Abstracts of the ICA. 1:1-3
We have demonstrated application of advanced cartographic approaches to visualization of the U.S. electric grid. To address the challenges of high cognitive load of animated maps, we have applied an approach to combine data preprocessing, event detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f46891c3f19e28b37a19f11638b6aa5
https://doi.org/10.5194/ica-abs-1-345-2019
https://doi.org/10.5194/ica-abs-1-345-2019
Autor:
April Morton, Alexandre Sorokine, D. Anderson, J. Burdette, Aaron T Myers, C. Biddle, E. Axley, R. Eberle, Jesse Piburn, Alexander Hohl, J. Kaufman, Robert N. Stewart
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W2, Pp 199-205 (2017)
Spatiotemporal (ST) analytics applied to major data sources such as the World Bank and World Health Organization has shown tremendous value in shedding light on the evolution of cultural, health, economic, and geopolitical landscapes on a global leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d1619878b09b9c86c0f86b2975fe87
https://doi.org/10.5194/isprs-annals-iv-4-w2-199-2017
https://doi.org/10.5194/isprs-annals-iv-4-w2-199-2017
Autor:
Alexandre Sorokine, Robert N. Stewart
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W2, Pp 69-76 (2017)
Ability to easily combine the data from diverse sources in a single analytical workflow is one of the greatest promises of the Big Data technologies. However, such integration is often challenging as datasets originate from different vendors, governm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f1b20c7fe00318fdb0059d9beee39f
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/69/2017/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/69/2017/
Autor:
Cheng Liu, Dilip R. Patlolla, Budhendra L. Bhaduri, Shweta M. Gupte, Alexandre Sorokine, Rajasekar Karthik
Publikováno v:
Earth Observation Open Science and Innovation ISBN: 9783319656328
With the recent advent of heterogeneous High-performance Computing (HPC) to handle EO “Big Data” workloads, there is a need for a unified Cyber-infrastructure (CI) platform that can bridge the best of many HPC worlds. In this chapter, we discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc9e246f9bbe797fc977a948070c014
https://doi.org/10.1007/978-3-319-65633-5_7
https://doi.org/10.1007/978-3-319-65633-5_7
Autor:
Michael C. Wright, Kara L. Kruse, Alexander Slepoy, Bob G Schlicher, Richard C. Ward, Budhendra L. Bhaduri, Alexandre Sorokine
Publikováno v:
Engineering Applications of Artificial Intelligence. 43:157-165
This paper describes an original approach to generate scenarios for the purpose of testing the algorithms used to detect special nuclear materials (SNM) that incorporates the use of ontologies. Separating the signal of SNM from the background require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c872e920940537fed973f88e050c33c4
https://doi.org/10.1016/j.engappai.2015.04.010
https://doi.org/10.1016/j.engappai.2015.04.010