
For more info on the project see the ZSL site
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 Asal Azar for her talk (to 200 people!) and to Barbara Draghi and Ylenia Rotalinti for presenting their posters at a packed AIME 2023 conference.
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.
Toyah Overton presented and Juliana Branescu discussed her poster at the first in-person conference for a while in Rennes, France.
Congratulations to those with new publications!:
Toyah Overton, Allan Tucker, Tim James and Dimitar Hristozov. dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification, Intelligent Data Analysis Symposium 2022;
Ghoshal, B., Hikmet, F., Pineau, C., Tucker, A. and Lindskog, C. (2021) ‘DeepHistoClass: A novel strategy for confident classification of immunohistochemistry images using Deep Learning‘. Molecular & Cellular Proteomics, 0 (In Press). pp. 1 – 71. ISSN: 1535-9476
Barnaby E. Walker, Allan Tucker and Nicky Nicolson, Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning, Front. Plant Sci., 13 January 2022 | https://doi.org/10.3389/fpls.2021.806407