Zobrazeno 1 - 10
of 144
pro vyhledávání: '"O'Reilly, Martin A."'
Autor:
Singh, Ashish, Bevilacqua, Antonio, Aderinola, Timilehin B., Nguyen, Thach Le, Whelan, Darragh, O'Reilly, Martin, Caulfield, Brian, Ifrim, Georgiana
Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain expertise or automatically extracted features using time series analysis
Externí odkaz:
http://arxiv.org/abs/2307.04516
Autor:
Giles, Oscar, Hosseini, Kasra, Mingas, Grigorios, Strickson, Oliver, Bowler, Louise, Smith, Camila Rangel, Wilde, Harrison, Lim, Jen Ning, Mateen, Bilal, Amarasinghe, Kasun, Ghani, Rayid, Heppenstall, Alison, Lomax, Nik, Malleson, Nick, O'Reilly, Martin, Vollmerteke, Sebastian
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been shown to have limited utility when used to train predictive models. One p
Externí odkaz:
http://arxiv.org/abs/2203.01363
Publikováno v:
Data Mining and Knowledge Discovery 33 (2019) 1183-1222
The time series classification literature has expanded rapidly over the last decade, with many new classification approaches published each year. Prior research has mostly focused on improving the accuracy and efficiency of classifiers, with interpre
Externí odkaz:
http://arxiv.org/abs/2006.01667
Autor:
Arenas, Diego, Atkins, Jon, Austin, Claire, Beavan, David, Egea, Alvaro Cabrejas, Carlysle-Davies, Steven, Carter, Ian, Clarke, Rob, Cunningham, James, Doel, Tom, Forrest, Oliver, Gabasova, Evelina, Geddes, James, Hetherington, James, Jersakova, Radka, Kiraly, Franz, Lawrence, Catherine, Manser, Jules, O'Reilly, Martin T., Robinson, James, Sherwood-Taylor, Helen, Tierney, Serena, Vallejos, Catalina A., Vollmer, Sebastian, Whitaker, Kirstie
We present a policy and process framework for secure environments for productive data science research projects at scale, by combining prevailing data security threat and risk profiles into five sensitivity tiers, and, at each tier, specifying recomm
Externí odkaz:
http://arxiv.org/abs/1908.08737
Akademický článek
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Publikováno v:
Sports Biomechanics; Aug2024, Vol. 23 Issue 8, p961-967, 7p
Akademický článek
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Autor:
Weyman, Gill, Butler, Fidelma, Whelan, Pádraig, Fonteneau, Julien, McKeown, Sean, Bourke, Sean, Kane, Aideen, O'Neill, Fiona, O'Sullivan, John Emmet, van der Noll, Leon, O'Reilly, Martin
Publikováno v:
The Irish Naturalists' Journal, 2019 Apr . 36(2), 145-146.
Externí odkaz:
https://www.jstor.org/stable/45181650
Autor:
Yam-Puc, Juan Carlos, Hosseini, Zhaleh, Horner, Emily C, Gerber, Pehuén Pereyra, Beristain-Covarrubias, Nonantzin, Hughes, Robert, Lulla, Aleksei, Rust, Maria, Boston, Rebecca, Ali, Magda, Fischer, Katrin, Simmons-Rosello, Edward, O'Reilly, Martin, Robson, Harry, Booth, Lucy H, Kahanawita, Lakmini, Correa-Noguera, Andrea, Favara, David, Ceron-Gutierrez, Lourdes, Keller, Baerbel, Craxton, Andrew, Anderson, Georgina SF, Sun, Xiao-Ming, Elmer, Anne, Saunders, Caroline, Bermperi, Areti, Jose, Sherly, Kingston, Nathalie, Mulroney, Thomas E, Piñon, Lucia PG, CITIID-NIHR COVID−19 BioResource Collaboration, Chapman, Michael A, Grigoriadou, Sofia, MacFarlane, Marion, Willis, Anne E, Patil, Kiran R, Spencer, Sarah, Staples, Emily, Warnatz, Klaus, Buckland, Matthew S, Hollfelder, Florian, Hyvönen, Marko, Döffinger, Rainer, Parkinson, Christine, Lear, Sara, Matheson, Nicholas J, Thaventhiran, James ED
Age-associated B cells (ABC) accumulate with age and in individuals with different immunological disorders, including cancer patients treated with immune checkpoint blockade and those with inborn errors of immunity. Here, we investigate whether ABCs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de8b5422c4e2c0a5a44add28f9dfcba
https://www.repository.cam.ac.uk/handle/1810/350215
https://www.repository.cam.ac.uk/handle/1810/350215
Autor:
van der Klaauw, Agatha A, Horner, Emily C, Pereyra-Gerber, Pehuén, Agrawal, Utkarsh, Foster, William S, Spencer, Sarah, Vergese, Bensi, Smith, Miriam, Henning, Elana, Ramsay, Isobel D, Smith, Jack A, Guillaume, Stephane M, Sharpe, Hayley J, Hay, Iain M, Thompson, Sam, Innocentin, Silvia, Booth, Lucy H, Robertson, Chris, McCowan, Colin, Kerr, Steven, Mulroney, Thomas E, O'Reilly, Martin J, Gurugama, Thevinya P, Gurugama, Lihinya P, Rust, Maria A, Ferreira, Alex, Ebrahimi, Soraya, Ceron-Gutierrez, Lourdes, Scotucci, Jacopo, Kronsteiner, Barbara, Dunachie, Susanna J, Klenerman, Paul, PITCH Consortium, Park, Adrian J, Rubino, Francesco, Lamikanra, Abigail A, Stark, Hannah, Kingston, Nathalie, Estcourt, Lise, Harvala, Heli, Roberts, David J, Doffinger, Rainer, Linterman, Michelle A, Matheson, Nicholas J, Sheikh, Aziz, Farooqi, I Sadaf, Thaventhiran, James ED
Funding: EAVE II is funded by the Medical Research Council (MRC) (MC_PC_19075) with the support of BREATHE—The Health Data Research Hub for Respiratory Health (MC_PC_19004), which is funded through the UK Research and Innovation Industrial Strategy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e3637311daf2116c2763d4376b2f2a32
https://hdl.handle.net/10023/27685
https://hdl.handle.net/10023/27685