All Publications

Title Author Year Publication type
Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis Jeroen Berrevoets; Ahmed Alaa; Zhaozhi Qian; James Jordon; Alexander Gimson; Mihaela Van Der Schaar 2021 ICML
Conformal Time-series Forecasting Kamilė Stankevičiūtė; Ahmed Alaa; Mihaela van der Schaar 2021 NeurIPS
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the SEER database Changhee Lee; Alexander Light; Ahmed Alaa; David Thurtle; Mihaela van der Schaar; Vincent J Gnanapragasam 2021 The Lancet Digital Health
Learning Matching Representations for Individualized Organ Transplantation Allocation Can Xu; Ahmed Alaa; Ioana Bica; Brent D Ershoff; Maxime Cannesson; Mihaela van der Schaar 2021 AISTATS
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 Mihaela Van der Schaar; Ahmed Alaa; Andres Floto; Alexander Gimson; Stefan Scholtes; Angela Wood; Eoin McKinney; Daniel Jarrett; Pietro Lio; Ari Ercole 2021 Machine Learning
Generative Time-series Modeling with Fourier Flows Ahmed Alaa; Alex Chan; Mihaela van der Schaar 2021 ICLR
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors Pedro Baqui; Valerio Marra; Ahmed Alaa; Ioana Bica; Ari Ercole; Mihaela van der Schaar 2021 Nature Scientific Reports
Retrospective cohort study of admission timing and mortality following COVID-19 infection in England Ahmed Alaa; Zhaozhi Qian; Jem Rashbass; Jonathan Benger; Mihaela van der Schaar 2020 BMJ Open
Estimating Structural Target Functions using Machine Learning and Influence Functions Alicia Curth; Ahmed Alaa; Mihaela van der Schaar 2020 Preprint
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar 2020 Machine Learning
The value of patient and tumor factors in predicting preoperative breast MRI outcomes Habib Rahbar; Daniel S Hippe; Ahmed Alaa; Safia H Cheeney; Mihaela van der Schaar; Savannah C Partridge; Christoph I Lee 2020 Radiology: Imaging Cancer
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa; Mihaela van der Schaar 2020 ICML
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J Chan; Ahmed Alaa; Zhaozhi Qian; Mihaela van der Schaar 2020 ICML
Between-centre differences for COVID-19 ICU mortality from early data in England Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar; Ari Ercole 2020 Intensive Care Medicine (ICM)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa; Mihaela van der Schaar 2020 ICML

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