News

Congratulations to Ben Evans, who successfully defended his thesis entitled “Towards an Automatic Camera Trap Pipeline” this week! Good luck with the post doc at ZSL!

Congratulations to Ylenia Rotalinti for her successful presentation at IDA 2024. Lots of interest in the audience on her work in detecting dirft in healthcare data.

For more info on the project see the ZSL site

Congratulations to Ylenia Rotalinti for their successful application to host a workshop on Discover Drift Phenomena in Evolving Landscapes at KDD 2024

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)

Congratulations to Afees who successfully defended his thesis entitled “ENSEMBLE LEARNING FOR OPTIMAL CLUSTER ESTIMATION” last week!

Congratulations to Dima Alattal and Ferdoos Nezhad for their presentations at IEEE CBMS in L’Aquila, Italy this week!

Congratulations to Awad who successfully defended his thesis entitled “Combined Supervised and Unsupervised Learning to Identify Subclasses of Disease for Better Prediction” in January. Thanks to examiners Jaakko Hollmen and Stasha Lauria.

Biraja successfully defended his thesis, titled “When the Machine Does Now Know Measuring Uncertainty in Deep Learning Models of Medical Image” on 9th September.