| Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study C Little, M Elliot, R Allmendinger, SS Samani arXiv preprint arXiv:2112.01925, 2021 | 16 | 2021 |
| Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata C Little, M Elliot, R Allmendinger International Conference on Privacy in Statistical Databases, 234-249, 2022 | 13 | 2022 |
| A Semantic and Syntactic Similarity Measure for Political Tweets C Little, D Mclean, K Crockett, B Edmonds IEEE Access 8, 154095-154113, 2020 | 12 | 2020 |
| Federated learning for generating synthetic data: a scoping review C Little, M Elliot, R Allmendinger International Journal of Population Data Science 8 (1), 2023 | 9 | 2023 |
| Analysing a complex agent-based model using data-mining techniques B Edmonds, C Little, L Lessard-Phillips, E Fieldhouse Social Simulation Conference, 2014 | 7 | 2014 |
| When things go wrong P Wallis, K Crockett, C Little Human-Agent Interaction Design and Models (HAIDM). Paris, 2014 | 4 | 2014 |
| Synthetic census microdata generation: A comparative study of synthesis methods examining the trade-off between disclosure risk and utility C Little, R Allmendinger, M Elliot Journal of Official Statistics, 2024 | 1 | 2024 |
| Multi-objective evolutionary GAN for tabular data synthesis N Ran, B Nasution, C Little, R Allmendinger, M Elliot Proceedings of the Genetic and Evolutionary Computation Conference, 394-402, 2024 | | 2024 |
| The production of bespoke synthetic teaching datasets without access to the original data M Elliott, C Little, R Allmendinger Privacy in Statistical Databases conference 2024, 2024 | | 2024 |
| Do samples taken from a synthetic microdata population replicate the relationship between samples taken from an original population? M Elliot, C Little, R Allmendinger UNECE Expert Meeting on Statistical Data Confidentiality 2023, 26-28 …, 2023 | | 2023 |
| Experiments on Federated Data Synthesis C Little, M Elliot, R Allmendinger UNECE Expert Meeting on Statistical Data Confidentiality 2023, 2023 | | 2023 |
| Machine learning for understanding complex, interlinked social data C Little Manchester Metropolitan University, 2018 | | 2018 |
| Analysing a Complex Agent-Based Model Using Data-Mining Techniques C Little, B Edmonds, L Lessard-Phillips, E Fieldhouse 10th Conference of the European Social Simulation Association, 2014 | | 2014 |
