Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Harry Coppock"'
Autor:
Jobie Budd, Kieran Baker, Emma Karoune, Harry Coppock, Selina Patel, Richard Payne, Ana Tendero Cañadas, Alexander Titcomb, David Hurley, Sabrina Egglestone, Lorraine Butler, Jonathon Mellor, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Radka Jersakova, Rachel A. McKendry, Peter Diggle, Sylvia Richardson, Björn W. Schuller, Steven Gilmour, Davide Pigoli, Stephen Roberts, Josef Packham, Tracey Thornley, Chris Holmes
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract 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 recruite
Externí odkaz:
https://doaj.org/article/452ca1b9c22d46e4ba3fae38754c1c88
Autor:
Björn W. Schuller, Alican Akman, Yi Chang, Harry Coppock, Alexander Gebhard, Alexander Kathan, Esther Rituerto-González, Andreas Triantafyllopoulos, Florian B. Pokorny
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23142- (2024)
Among the 17 Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 and 15 claim the protection and conse
Externí odkaz:
https://doaj.org/article/11dc638faf4a42d2a2b53e8020e3be7f
Autor:
Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning fi
Externí odkaz:
https://doaj.org/article/5f3763d0ac214eef9ae0a081aeb8a338
Autor:
Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Several machine learning-based COVID-19 classifiers exploiting vocal biomarkers of COVID-19 has been proposed recently as digital mass testing methods. Although these classifiers have shown strong performances on the datasets on which they are traine
Externí odkaz:
https://doaj.org/article/e1b627d2a29243b0b0ba75a55befd057
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 12, Pp e761- (2021)
Externí odkaz:
https://doaj.org/article/84b437bcf84e44efbdbfa091b9ec0f6f
Autor:
Megha Bhat Agni, Fares Al-Ejeh, Amjad Ali, Mariam Al-Muftah, Taís Aparecida Alvarenga, Lobna Al-Zaidan, K.R. Anu, Farha Anwer, Maryum Arif, Hayeqa Shahwar Awan, Anindya Bandyopadhyay, Katarina Baralić, Bruno Henrique Groenner Barbosa, Debmalya Barh, Christopher Barnes, Amina Basheer, Takwa Bedhiafi, Tulika Bhardwaj, Dragica Bozic, Elenice Valentim Carmona, Subhash Chandra, Nathaniel Chapin, Almas Chaudhry, Sarantis Chlamydas, Harry Coppock, Emmanuel Cornillot, Simone Gonçalves da Fonseca, Damodara Gowda, Subham Das, Santanu Dasgupta, Said Dermime, Daniela Fernanda dos Santos Alves, Danijela Đukić-Ćosić, Erika Christiane Marocco Duran, Queenie Fernandes, Juan Luis Fernandez-Martinez, Ana Cláudia Barbosa Honório Ferreira, Danton Diego Ferreira, Roger Frutos, Michael Garbati, Luiz Gustavo Gardinassi, Konstantinos I. Gourgoulianis, Mubashir Hassan, Pramukh Subrahmanya Hegde, Varghese Inchakalody, Alex Joseph, Tushar Joshi, Nagesh Kancharla, Bineypreet Kaur, Jaspreet Kaur, Adithi Kellarai, Andrzej Kloczkowski, Gustavo Barbosa Libotte, Davi Vinícius de Lima, Fran Sérgio Lobato, Abhilash Ludhiadch, Saul O. Lugo Reyes, Kenneth Lundstrom, Amit K. Maiti, Shalini Mathpal, Maysaloun Merhi, Sarra Mestiri, Mostafa M. Mohamed, Maria Helena Baena de Moraes Lopes, Dina Moustafa, Anjana Munshi, Anam Naz, Mina A. Nessiem, Mehmet Özdemir, Gustavo Mendes Platt, Sari Eka Pratiwi, Abdur Rahman, Afsheen Raza, Demóstenes Zegarra Rodríguez, Helioswilton Sales-Campos, Luis Otávio Santos, Shreya Sarkar, Björn W. Schuller, Rwik Sen, Fatima Shahid, Priyanka Sharma, Abubakar Siddique, Ammara Siddique, Pallavi Somvanshi, Camila Oliveira Silva Souza, Syeda Duaa Tahir, Nassiba Taib, Sushma Tamta, Shahab Uddin, Ayşe Rüveyda Uğur, George D. Vavougios, Maaz Waseem, Umesh Prasad Yadav, Eugenia Ch. Yiannakopoulou, Ysrafil Ysrafil, Tahreem Zaheer, Sotirios G. Zarogiannis, Katarina Živančević
Publikováno v:
Omics approaches and technologies in COVID-19 ISBN: 9780323917940
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b23328431b2ba3f22ff3b3bb0067f5
https://doi.org/10.1016/b978-0-323-91794-0.09987-x
https://doi.org/10.1016/b978-0-323-91794-0.09987-x
The Barlow Twins self-supervised learning objective requires neither negative samples or asymmetric learning updates, achieving results on a par with the current state-of-the-art within Computer Vision. As such, we present Audio Barlow Twins, a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355ea0851fdcfb7317dd4ff904473856
http://arxiv.org/abs/2209.14345
http://arxiv.org/abs/2209.14345
Autor:
Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
Peer reviewed: True
The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue fro
The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc78562728fa7bdfcda898f665b9cb72
http://arxiv.org/abs/2202.08981
http://arxiv.org/abs/2202.08981
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 12, Pp e761-(2021)
The Lancet. Digital Health
The Lancet. Digital Health
Autor:
Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller
We report on cross-running the recent COVID-19 Identification ResNet (CIdeR) on the two Interspeech 2021 COVID-19 diagnosis from cough and speech audio challenges: ComParE and DiCOVA. CIdeR is an end-to-end deep learning neural network originally des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49d1024cd3c82a9d7018364955501136
http://arxiv.org/abs/2107.14549
http://arxiv.org/abs/2107.14549