Zobrazeno 1 - 10
of 504
pro vyhledávání: '"Nicholson, George"'
Autor:
Budd, Jobie, Baker, Kieran, Karoune, Emma, Coppock, Harry, Patel, Selina, Cañadas, Ana Tendero, Titcomb, Alexander, Payne, Richard, Hurley, David, Egglestone, Sabrina, Butler, Lorraine, Mellor, Jonathon, Nicholson, George, Kiskin, Ivan, Koutra, Vasiliki, Jersakova, Radka, McKendry, Rachel A., Diggle, Peter, Richardson, Sylvia, Schuller, Björn W., Gilmour, Steven, Pigoli, Davide, Roberts, Stephen, Packham, Josef, Thornley, Tracey, Holmes, Chris
The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruited volunta
Externí odkaz:
http://arxiv.org/abs/2212.07738
Autor:
Coppock, Harry, Nicholson, George, Kiskin, Ivan, Koutra, Vasiliki, Baker, Kieran, Budd, Jobie, Payne, Richard, Karoune, Emma, Hurley, David, Titcomb, Alexander, Egglestone, Sabrina, Cañadas, Ana Tendero, Butler, Lorraine, Jersakova, Radka, Mellor, Jonathon, Patel, Selina, Thornley, Tracey, Diggle, Peter, Richardson, Sylvia, Packham, Josef, Schuller, Björn W., Pigoli, Davide, Gilmour, Steven, Roberts, Stephen, Holmes, Chris
Recent work has reported that AI classifiers trained on audio recordings can accurately predict severe acute respiratory syndrome coronavirus 2 (SARSCoV2) infection status. Here, we undertake a large scale study of audio-based deep learning classifie
Externí odkaz:
http://arxiv.org/abs/2212.08570
Autor:
Pigoli, Davide, Baker, Kieran, Budd, Jobie, Butler, Lorraine, Coppock, Harry, Egglestone, Sabrina, Gilmour, Steven G., Holmes, Chris, Hurley, David, Jersakova, Radka, Kiskin, Ivan, Koutra, Vasiliki, Mellor, Jonathon, Nicholson, George, Packham, Joe, Patel, Selina, Payne, Richard, Roberts, Stephen J., Schuller, Björn W., Tendero-Cañadas, Ana, Thornley, Tracey, Titcomb, Alexander
Since early in the coronavirus disease 2019 (COVID-19) pandemic, there has been interest in using artificial intelligence methods to predict COVID-19 infection status based on vocal audio signals, for example cough recordings. However, existing studi
Externí odkaz:
http://arxiv.org/abs/2212.08571
Autor:
Aguas, Ricardo, Amswych, Ma'ayan, Andersen-Waine, Billie, Bajaj, Sumali, Bimpong, Kweku, Bodley, Adam, Cantrell, Liberty, Chen, Siyu, Creswell, Richard, Dahal, Prabin, Dickinson, Sophie, Dittrich, Sabine, Evans, Tracy, Ferguson-Lewis, Angus, Franco, Caroline, Gao, Bo, Hounsell, Rachel, Kasim, Muhammad, Keene, Claire, Lambert, Ben, Mahmood, Umar, Mills, Melinda, Moldokmatova, Ainura, Molyneux, Sassy, Naidoo, Reshania, Ngwafor Anye, Randolph, Norman, Jared, Pan-Ngum, Wirichada, Pokharel, Sunil, Polner, Anastasiia, Rowe, Emily, Saralamba, Sompob, Shretta, Rima, Silal, Sheetal, Stepniewska, Kasia, L-H Tsui, Joseph, Voysey, Merryn, Wanat, Marta, White, Lisa J, Tsui, Joseph L-H *, Kolade, Olumide, Nicholson, George, Lehmann, Brieuc, Hay, James A, Kraemer, Moritz U G, Donnelly, Christl A, Fowler, Tom, Hopkins, Susan
Publikováno v:
In The Lancet Digital Health November 2024 6(11):e778-e790
Autor:
Wong-Siegel, Jeannette R., Glatz, Andrew C., McCracken, Courtney, Lee, Choonsik, Kitahara, Cari M., Veiga, Lene H.S., Zhang, Yun, Goldstein, Bryan H., Petit, Christopher J., Qureshi, Athar M., Nicholson, George T., III, Law, Mark A., Meadows, Jeffery, Shahanavaz, Shabana, O’Byrne, Michael L., Batlivala, Sarosh P., Pettus, Joelle, Beshish, Asaad, Mascio, Christopher E., Romano, Jennifer C., Stack, Kathyrn O., Asztalos, Ivor, Downing, Tacy E., Zampi, Jeffrey D.
Publikováno v:
In JACC: Advances October 2024 3(10)
Autor:
Maskatia, Shiraz A., Glatz, Andrew C., Goldstein, Bryan H., Qureshi, Athar M., Zampi, Jeffrey D., McCracken, Courtney E., Nicholson, George T., Meadows, Jeffery J., Shahanavaz, Shabana, Law, Mark A., Batlivala, Sarosh P., Mascio, Christopher E., Chai, Paul J., Romano, Jennifer C., O'Byrne, Michael L., Ligon, Allen, Beshish, Asaad G., Petit, Christopher J.
Publikováno v:
In The Journal of Pediatrics September 2024 272
Autor:
Zampi, Jeffrey D., Ilardi, Dawn L., McCracken, Courtney E., Zhang, Yun, Glatz, Andrew C., Goldstein, Bryan H., Petit, Christopher J., Qureshi, Athar M., Goldberg, Caren S., Law, Mark A., Meadows, Jeffery J., Shahanavaz, Shabana, Batlivala, Sarosh P., Maskatia, Shiraz A., O'Byrne, Michael L., Ligon, R. Allen, Pettus, Joelle A., Beshish, Asaad, Romano, Jennifer C., Stack, Kathryn O., Khan, Hala Q., Parekh, Shalin, Nicholson, George T.
Publikováno v:
In The Journal of Pediatrics January 2025 276
Autor:
Nicholson, George
A music teacher’s place of work—the school, the geographical focus of this dissertation—is always in a state of reform and thus what constitutes quality work within this space is also in constant flux. Contemporary schooling exists in and as a
Autor:
Nicholson, George, Blangiardo, Marta, Briers, Mark, Diggle, Peter J., Fjelde, Tor Erlend, Ge, Hong, Goudie, Robert J. B., Jersakova, Radka, King, Ruairidh E., Lehmann, Brieuc C. L., Mallon, Ann-Marie, Padellini, Tullia, Teh, Yee Whye, Holmes, Chris, Richardson, Sylvia
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of princi
Externí odkaz:
http://arxiv.org/abs/2109.13730
Autor:
Falck, Fabian, Zhu, Xuan, Ghalebikesabi, Sahra, Kormaksson, Matthias, Vandemeulebroecke, Marc, Zhang, Cong, Martin, Ruvie, Gardiner, Stephen, Kwok, Chun Hei, West, Dominique M., Santos, Luis, Tian, Chengeng, Pang, Yu, Readie, Aimee, Ligozio, Gregory, Gandhi, Kunal K., Nichols, Thomas E., Mallon, Ann-Marie, Kelly, Luke, Ohlssen, David, Nicholson, George
Publikováno v:
In Journal of Biomedical Informatics June 2024 154