| Bioacoustic detection with wavelet-conditioned convolutional neural networks I Kiskin, D Zilli, Y Li, M Sinka, K Willis, S Roberts Neural Computing and Applications 32, 915-927, 2020 | 84 | 2020 |
| 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 | 56 | 2021 |
| Mosquito detection with neural networks: the buzz of deep learning I Kiskin, BP Orozco, T Windebank, D Zilli, M Sinka, K Willis, S Roberts arXiv preprint arXiv:1705.05180, 2017 | 45 | 2017 |
| Learning to detect an animal sound from five examples I Nolasco, S Singh, V Morfi, V Lostanlen, A Strandburg-Peshkin, ... Ecological informatics 77, 102258, 2023 | 44 | 2023 |
| 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 | 39 | 2022 |
| Few-shot bioacoustic event detection at the dcase 2022 challenge I Nolasco, S Singh, E Vidana-Villa, E Grout, J Morford, M Emmerson, ... arXiv preprint arXiv:2207.07911, 2022 | 33 | 2022 |
| HumBugDB: a large-scale acoustic mosquito dataset I Kiskin, M Sinka, AD Cobb, W Rafique, L Wang, D Zilli, B Gutteridge, ... arXiv preprint arXiv:2110.07607, 2021 | 27 | 2021 |
| Humbug zooniverse: A crowd-sourced acoustic mosquito dataset I Kiskin, AD Cobb, L Wang, S Roberts ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 27 | 2020 |
| Mosquito detection with low-cost smartphones: data acquisition for malaria research Y Li, D Zilli, H Chan, I Kiskin, M Sinka, S Roberts, K Willis arXiv preprint arXiv:1711.06346, 2017 | 26 | 2017 |
| HumBug–an acoustic mosquito monitoring tool for use on budget smartphones ME Sinka, D Zilli, Y Li, I Kiskin, D Msaky, J Kihonda, G Mkandawile, ... Methods in ecology and evolution 12 (10), 1848-1859, 2021 | 25 | 2021 |
| Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection B Walker, F Krones, I Kiskin, G Parsons, T Lyons, A Mahdi Computing in Cardiology, 2022 | 18 | 2022 |
| 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, ... Nature Machine Intelligence 6 (2), 229-242, 2024 | 16 | 2024 |
| An overview of Gaussian process regression for volatility forecasting B Liu, I Kiskin, S Roberts 2020 International Conference on Artificial Intelligence in Information and …, 2020 | 15 | 2020 |
| Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks I Kiskin, AD Cobb, M Sinka, K Willis, SJ Roberts Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 10 | 2021 |
| FAST MOSQUITO ACOUSTIC DETECTION WITH FIELD CUP RECORDINGS: AN INITIAL INVESTIGATION SR Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan , Eva ... Proceedings of the Detection and Classification of Acoustic Scenes and …, 2018 | 10* | 2018 |
| A large-scale and PCR-referenced vocal audio dataset for COVID-19 J Budd, K Baker, E Karoune, H Coppock, S Patel, R Payne, ... Scientific Data 11 (1), 700, 2024 | 5 | 2024 |
| Semi-separable Hamiltonian Monte Carlo for inference in Bayesian neural networks AD Cobb, AG Baydin, I Kiskin, A Markham, SJ Roberts Advances in Neural Information Processing Systems Workshop on Bayesian Deep …, 2019 | 4 | 2019 |
| Cost-sensitive detection with variational autoencoders for environmental acoustic sensing Y Li, I Kiskin, D Zilli, M Sinka, H Chan, K Willis, S Roberts arXiv preprint arXiv:1712.02488, 2017 | 4 | 2017 |
| 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 | 3 | 2022 |
| Super-resolution of time-series labels for bootstrapped event detection I Kiskin, U Meepegama, S Roberts arXiv preprint arXiv:1906.00254, 2019 | 3 | 2019 |
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
