Accepted Papers

Congratulations to Barbara Draghi for her paper “Bias-aware synthetic data generation: a tailored use case-driven approach” that had been accetped to the “4th Workshop on Bias and Fairness in AI” at the European Conference on Machine Learning 2024.

New paper success!

Congratulations to Barbara Draghi, Ashley Mann, and Ylenia Rotalinti on their recent publication success:

Draghi, B., Wang, Z., Myles, P. and Tucker, A. (2023) ‘Identifying and handling data bias within primary healthcaredata using synthetic data generators’. Heliyon, (accepted, in press).

Mann, A. EvoApp 2024, To Appear.

Rotalinti, Y., Myles, P., Tucker, A. ‘Predicting performance drift in AI models of healthcare without ground truth labels’, Proceedings of the 22nd International Symposium of Intelligent Data Analysis 2024, Springer, (in press)