Zobrazeno 1 - 10
of 501
pro vyhledávání: '"ASTON, JOHN"'
Autor:
Barratt, Luke A., Aston, John A. D.
When it came to Covid-19, timing was everything. This paper considers the spatiotemporal dynamics of the Covid-19 pandemic via a developed methodology of non-Euclidean spatially aware functional registration. In particular, the daily SARS-CoV-2 incid
Externí odkaz:
http://arxiv.org/abs/2407.17132
Autor:
Christie, Louis G., Aston, John A. D.
In this paper we present the framework of symmetry in nonparametric regression. This generalises the framework of covariate sparsity, where the regression function depends only on at most $s < d$ of the covariates, which is a special case of translat
Externí odkaz:
http://arxiv.org/abs/2404.12943
Autor:
Zhang, Fan, Kreuter, Daniel, Chen, Yichen, Dittmer, Sören, Tull, Samuel, Shadbahr, Tolou, Collaboration, BloodCounts!, Preller, Jacobus, Rudd, James H. F., Aston, John A. D., Schönlieb, Carola-Bibiane, Gleadall, Nicholas, Roberts, Michael
For healthcare datasets, it is often not possible to combine data samples from multiple sites due to ethical, privacy or logistical concerns. Federated learning allows for the utilisation of powerful machine learning algorithms without requiring the
Externí odkaz:
http://arxiv.org/abs/2310.02874
Autor:
Dittmer, Sören, Roberts, Michael, Preller, Jacobus, COVNET, AIX, Rudd, James H. F., Aston, John A. D., Schönlieb, Carola-Bibiane
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 gained some minor attention from the deep learning community. This rece
Externí odkaz:
http://arxiv.org/abs/2307.13579
Autor:
Kreuter, Daniel, Tull, Samuel, Gilbey, Julian, Preller, Jacobus, Consortium, BloodCounts!, Aston, John A. D., Rudd, James H. F., Sivapalaratnam, Suthesh, Schönlieb, Carola-Bibiane, Gleadall, Nicholas, Roberts, Michael
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 machine learning (ML), these factors are known as domains and the distri
Externí odkaz:
http://arxiv.org/abs/2306.09177
This review provides an overview of concepts relating to the communication of statistical and empirical evidence in times of crisis, with a special focus on COVID-19. In it, we consider topics relating both to the communication of numbers -- such as
Externí odkaz:
http://arxiv.org/abs/2304.01789
Autor:
Christie, Louis G., Aston, John A. D.
We present a method for estimating the maximal symmetry of a continuous regression function. Knowledge of such a symmetry can be used to significantly improve modelling by removing the modes of variation resulting from the symmetries. Symmetry estima
Externí odkaz:
http://arxiv.org/abs/2303.13616