180 citations · 687 across the 34 of their papers we have counts for
4 papers · 1 filter
Reinterpreting survival analysis in the universal approximator age
Sören Dittmer, Michael Roberts, Jacobus Preller +4
Survival analysis is an integral part of the statistical toolbox. However, while most domains of classical statistics have embraced deep learning, survival analysis only recently g…
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Daniel Kreuter, Samuel Tull, Julian Gilbey +8
Clinical data is often affected by clinically irrelevant factors such as discrepancies between measurement devices or differing processing methods between sites. In the field of ma…
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk +15
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missi…
Hidden Talents of the Variational Autoencoder
Bin Dai, Yu Wang, John Aston +2
Variational autoencoders (VAE) represent a popular, flexible form of deep generative model that can be stochastically fit to samples from a given random process using an informatio…