Ethnicity and outcomes of COVID-19 patients in England |
Ahmed Alaa; Zhaozhi Qian; Jem Rashbass; Keith Gomes Pinto; Jonathan Benger; Mihaela van der Schaar |
2020 |
NHS Digital |
Opportunities for machine learning to transform care for people with cystic fibrosis |
Mahed Abroshan; Ahmed Alaa; Oli Rayner; Mihaela van der Schaar |
2020 |
Journal of Cystic Fibrosis |
Lifelong Bayesian Optimization |
Yao Zhang; James Jordon; Ahmed Alaa; Mihaela van der Schaar |
2019 |
Preprint |
Validating Causal Inference Models via Influence Functions |
Ahmed Alaa; Mihaela van der Schaar |
2019 |
ICML |
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants |
Ahmed Alaa; Thomas Bolton; Emanuele Di Angelantonio; James HF Rudd; Mihaela van der Schaar |
2019 |
PLOS ONE |
Attentive state-space modeling of disease progression |
Ahmed Alaa; Mihaela van der Schaar |
2019 |
NeurIPS |
Demystifying Black-box Models with Symbolic Metamodels |
Ahmed Alaa; Mihaela van der Schaar |
2019 |
NeurIPS |
Temporal Quilting for Survival Analysis |
Changhee Lee; William R Zame; Ahmed Alaa; Mihaela van der Schaar |
2019 |
AISTATS |
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms |
Ahmed Alaa; Mihaela van der Schaar |
2018 |
IEEE Journal of Selected Topics in Signal Processing |
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference |
Ahmed Alaa; Mihaela van der Schaar |
2018 |
Journal of Machine Learning Research (JMLR) |
Prognostication and risk factors for cystic fibrosis via automated machine learning |
Ahmed Alaa; Mihaela van der Schaar |
2018 |
Nature Scientific Reports |
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design |
Ahmed Alaa; Mihaela van der Schaar |
2018 |
ICML |
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks |
Bryan Lim; Ahmed Alaa; Mihaela van der Schaar |
2018 |
NeurIPS |
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation |
Jinsung Yoon; William R Zame; Amitava Banerjee; Martin Cadeiras; Ahmed Alaa; Mihaela van der Schaar |
2018 |
PLOS ONE |
A Micro-foundation of Social Capital in Evolving Social Networks |
Ahmed Alaa; Kartik Ahuja; Mihaela van der Schaar |
2018 |
IEEE Transactions on Network Science and Engineering |
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning |
Ahmed Alaa; Mihaela van der Schaar |
2018 |
ICML |
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes |
Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar |
2018 |
IEEE Transactions on Biomedical Engineering |
Deep multi-task gaussian processes for survival analysis with competing risks |
Ahmed Alaa; Mihaela van der Schaar |
2017 |
NeurIPS |
Personalized Donor-Recipient Matching for Organ Transplantation |
Jinsung Yoon; Ahmed Alaa; Martin Cadeiras; Mihaela van der Schaar |
2017 |
AAAI |
Deep Counterfactual Networks with Propensity-Dropout |
Ahmed Alaa; Michael Weisz; Mihaela van der Schaar |
2017 |
ICML Workshop on Principled Approaches to Deep Learning |
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis |
Ahmed Alaa; Scott Hu; Mihaela van der Schaar |
2017 |
ICML |
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes |
Ahmed Alaa; Mihaela van der Schaar |
2017 |
NeurIPS |
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition |
Ahmed Alaa; Mihaela van der Schaar |
2016 |
NeurIPS |
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data |
Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar |
2016 |
NIPS Workshop on Machine Learning for Health |
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts |
Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar |
2016 |
ICML Workshop on Computational Frameworks for Personalization |
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission |
Jinsung Yoon; Ahmed Alaa; Scott Hu; Mihaela van der Schaar |
2016 |
ICML |
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening |
Ahmed Alaa; Kyeong H Moon; William Hsu; Mihaela van der Schaar |
2016 |
IEEE Transactions on Multimedia |
Self-organizing Networks of Information Gathering Cognitive Agents |
Ahmed Alaa; Kartik Ahuja; Mihaela van der Schaar |
2015 |
IEEE Transactions on Cognitive Communications and Networking |