Zobrazeno 1 - 10
of 2 482
pro vyhledávání: '"Powell, James A"'
Autor:
Shuaib, Haris, Barker, Gareth J, Sasieni, Peter, De Vita, Enrico, Chelliah, Alysha, Andrei, Roman, Ashkan, Keyoumars, Beaumont, Erica, Brazil, Lucy, Rowland-Hill, Chris, Lau, Yue Hui, Luis, Aysha, Powell, James, Swampillai, Angela, Tenant, Sean, Thust, Stefanie C, Wastling, Stephen, Young, Tom, Booth, Thomas C
Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i
Externí odkaz:
http://arxiv.org/abs/2405.05980
Beyond bibliometrics, there is interest in characterizing the evolution of the number of ideas in scientific papers. A common approach for investigating this involves analyzing the titles of publications to detect vocabulary changes over time. With t
Externí odkaz:
http://arxiv.org/abs/2208.13978
Publikováno v:
In Earth-Science Reviews November 2024 258
Autor:
Werle, Jason, Clark, Marcia, Puloski, Shannon, Kuchinad, Raul, Johnston, Kelly, Stewart, James I., Abelseth, Gregory, Ng, Richard, Kubik, Jeremy, Meldrum, Alexander, Powell, James N., Sharma, Rajrishi, Monument, Michael J., Joly, Denis, Desy, Nicholas, Batuyong, Eldridge, Timmermann, Scott A., Rendall, Edward
Publikováno v:
In The Journal of Arthroplasty October 2024 39(10):2466-2470
Autor:
Powell, James1,2 (AUTHOR), Beirne, Irene3 (AUTHOR), Minihan, Brid1 (AUTHOR), O'Connell, Nuala H.1,2 (AUTHOR), Sharma, Santosh2 (AUTHOR), Dunworth, Margo3 (AUTHOR), Philip, Roy K.3,4 (AUTHOR), Dunne, Colum P.2,5 (AUTHOR) colum.dunne@ul.ie
Publikováno v:
PLoS ONE. 8/23/2024, Vol. 19 Issue 8, p1-12. 12p.
Autor:
Horel, John D.1 (AUTHOR) john.horel@utah.edu, Powell, James T.2 (AUTHOR)
Publikováno v:
Weather & Forecasting. Jul2024, Vol. 39 Issue 7, p1007-1021. 15p.
Autor:
Powell, James, Sentz, Kari
Diachronic text mining has frequently been applied to long-term linguistic surveys of word meaning and usage shifts over time. In this paper we apply short-term diachronic text mining to a rapidly growing corpus of scientific publications on COVID-19
Externí odkaz:
http://arxiv.org/abs/2110.13971
Word embeddings are a fixed, distributional representation of the context of words in a corpus learned from word co-occurrences. Despite their proven utility in machine learning tasks, word embedding models may capture uneven semantic and syntactic r
Externí odkaz:
http://arxiv.org/abs/2110.02884
Autor:
Chatziefthimiou, Aspassia D., Metcalf, James S., Glover, William B., Powell, James T., Banack, Sandra A., Cox, Paul A., Ladjimi, Moncef, Sultan, Ali A., Chemaitelly, Hiam, Richer, Renee A.
Publikováno v:
In Toxicon: X September 2024 23