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Claire Little
Claire Little
Centre for Digital Trust and Society, University of Manchester
Verified email at manchester.ac.uk
Title
Cited by
Cited by
Year
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
C Little, M Elliot, R Allmendinger, SS Samani
arXiv preprint arXiv:2112.01925, 2021
252021
Federated learning for generating synthetic data: a scoping review
C Little, M Elliot, R Allmendinger
International Journal of Population Data Science 8 (1), 2023
182023
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
182022
A Semantic and Syntactic Similarity Measure for Political Tweets
C Little, D Mclean, K Crockett, B Edmonds
IEEE Access 8, 154095-154113, 2020
142020
Analysing a complex agent-based model using data-mining techniques
B Edmonds, C Little, L Lessard-Phillips, E Fieldhouse
Social Simulation Conference, 2014
72014
When things go wrong
P Wallis, K Crockett, C Little
Human-Agent Interaction Design and Models (HAIDM). Paris, 2014
42014
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, 0282423X241266523, 2024
22024
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
12024
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
12023
The production of bespoke synthetic teaching datasets without access to the original data
M Elliot, C Little, R Allmendinger
International Conference on Privacy in Statistical Databases, 144-157, 2024
2024
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
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Articles 1–13