| Ethnicity sensitive author disambiguation using semi-supervised learning G Louppe, HT Al-Natsheh, M Susik, EJ Maguire Knowledge Engineering and Semantic Web: 7th International Conference, KESW …, 2016 | 94 | 2016 |
| Inhibited softmax for uncertainty estimation in neural networks M Możejko, M Susik, R Karczewski arXiv preprint arXiv:1810.01861, 2018 | 30 | 2018 |
| Adaptive particle representation of fluorescence microscopy images BL Cheeseman, U Günther, K Gonciarz, M Susik, IF Sbalzarini Nature communications 9 (1), 5160, 2018 | 19 | 2018 |
| Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution S Mateusz, S Holger, IF Sbalzarini Forensic Science International: Genetics 60, 102744, 2022 | 5 | 2022 |
| Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark M Susik, IF Sbalzarini Forensic Science International: Genetics 64, 102840, 2023 | 4 | 2023 |
| A diagnosis of the primary difference between EuroForMix and STRmix™ J Buckleton, M Susik, JM Curran, K Cheng, D Taylor, JA Bright, H Kelly, ... Journal of Forensic Sciences 69 (1), 40-51, 2024 | 1 | 2024 |
| Variational inference accelerates accurate DNA mixture deconvolution M Susik, IF Sbalzarini Forensic Science International: Genetics 65, 102890, 2023 | | 2023 |
| Peak height standard deviation, natural logarithm base M Susik, IF Sbalzarini | | 2023 |
| 1 Model definition M Susik, IF Sbalzarini | | 2023 |
| A Comparison of the Model Differences between EuroForMix and STRmix J Buckleton, M Susik, J Curran, K Cheng, D Taylor, JA Bright, H Kelly, ... Available at SSRN 4331035, 0 | | |
