| Efficient learning of the parameters of non-linear models using differentiable resampling in particle filters C Rosato, L Devlin, V Beraud, P Horridge, TB Schön, S Maskell IEEE Transactions on Signal Processing 70, 3676-3692, 2022 | 14 | 2022 |
| Refining Epidemiological Forecasts with Simple Scoring Rules RE Moore, C Rosato, S Maskell arXiv preprint arXiv:2111.04498, 2021 | 10* | 2021 |
| Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal C Rosato, J Harris, J Panovska-Griffiths, S Maskell 2022 25th International Conference on Information Fusion (FUSION), 2022 | 3 | 2022 |
| Extracting self-reported covid-19 symptom tweets and twitter movement mobility origin/destination matrices to inform disease models C Rosato, RE Moore, M Carter, J Heap, J Harris, J Storopoli, S Maskell Information 14 (3), 170, 2023 | 1 | 2023 |
| Fusing low-latency data feeds with death data to accurately nowcast covid-19 related deaths C Rosato, RE Moore, M Carter, J Heap, J Storopoli, S Maskell arXiv preprint arXiv:2112.08097, 2021 | 1 | 2021 |
| An O(log2 N) SMC2 Algorithm on Distributed Memory with an Approx. Optimal L-Kernel C Rosato, A Varsi, J Murphy, S Maskell 2023 IEEE Symposium Sensor Data Fusion and International Conference on …, 2023 | | 2023 |
| Disease Surveillance using Bayesian Methods C Rosato PQDT-Global, 2023 | | 2023 |
Simon MaskellUniversity of LiverpoolVerified email at liverpool.ac.uk
