| End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study H Coppock, A Gaskell, P Tzirakis, A Baird, L Jones, B Schuller BMJ innovations 7 (2), 2021 | 98 | 2021 |
| Detecting COVID-19 from breathing and coughing sounds using deep neural networks MA Nessiem, MM Mohamed, H Coppock, A Gaskell, BW Schuller 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 62* | 2021 |
| COVID-19 detection from audio: seven grains of salt H Coppock, L Jones, I Kiskin, B Schuller The Lancet Digital Health 3 (9), e537-e538, 2021 | 39 | 2021 |
| The ACM multimedia 2022 computational paralinguistics challenge: vocalisations, stuttering, activity, & mosquitoes B Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ... Proceedings of the 30th ACM International Conference on Multimedia, 7120-7124, 2022 | 29 | 2022 |
| Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges A Akman, H Coppock, A Gaskell, P Tzirakis, L Jones, BW Schuller Frontiers in Digital Health 4, 789980, 2022 | 16 | 2022 |
| A summary of the ComParE COVID-19 challenges H Coppock, A Akman, C Bergler, M Gerczuk, C Brown, J Chauhan, ... Frontiers in Digital Health 5, 1058163, 2023 | 6 | 2023 |
| Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers H Coppock, G Nicholson, I Kiskin, V Koutra, K Baker, J Budd, R Payne, ... arXiv preprint arXiv:2212.08570, 2022 | 5 | 2022 |
| Audio Barlow Twins: Self-Supervised Audio Representation Learning J Anton, H Coppock, P Shukla, BW Schuller ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| A large-scale and PCR-referenced vocal audio dataset for COVID-19 J Budd, K Baker, E Karoune, H Coppock, S Patel, AT Cañadas, A Titcomb, ... arXiv preprint arXiv:2212.07738, 2022 | 1 | 2022 |
| Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet BW Schuller, A Akman, Y Chang, H Coppock, A Gebhard, A Kathan, ... arXiv preprint arXiv:2203.06064, 2022 | 1 | 2022 |
| Bias and privacy in AI's cough-based COVID-19 recognition–Authors' reply H Coppock, L Jones, I Kiskin, B Schuller The Lancet Digital Health 3 (12), e761, 2021 | 1 | 2021 |
| Artificial intelligence in COVID-19 MA Nessiem, H Coppock, MM Mohamed, BW Schuller Omics Approaches and Technologies in COVID-19, 255-273, 2023 | | 2023 |
| Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19 D Pigoli, K Baker, J Budd, L Butler, H Coppock, S Egglestone, SG Gilmour, ... arXiv preprint arXiv:2212.08571, 2022 | | 2022 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERING在 imperial.ac.uk 的电子邮件经过验证
