Ahmed M. Alaa
Ahmed M. Alaa
Vahvistettu sähköpostiosoite verkkotunnuksessa ucla.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
AM Alaa, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 3424-3432, 2017
1012017
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants
AM Alaa, T Bolton, E Di Angelantonio, JHF Rudd, M van der Schaar
PloS one 14 (5), e0213653, 2019
792019
Deep multi-task gaussian processes for survival analysis with competing risks
AM Alaa, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2326-2334, 2017
542017
Limits of estimating heterogeneous treatment effects: Guidelines for practical algorithm design
A Alaa, M Schaar
International Conference on Machine Learning (ICML), 129-138, 2018
422018
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes
AM Alaa, J Yoon, S Hu, M van der Schaar
IEEE Transactions on Biomedical Engineering, 2016
402016
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission
J Yoon, AM Alaa, S Hu, M van der Schaar
International Conference on Machine Learning (ICML), 1680-1689, 2016
382016
Deep Counterfactual Networks with Propensity-Dropout
AM Alaa, M Weisz, M van der Schaar
ICML 2017 - Workshop on Principled Approaches to Deep Learning, 2017
372017
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
B Lim, A Alaa, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 7493-7503, 2018
352018
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
AM Alaa, S Hu, M van der Schaar
International Conference on Machine Learning (ICML), 60-69, 2017
332017
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
AM Alaa, M van der Schaar
International Conference on Machine Learning (ICML), 2018
312018
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening
AM Alaa, KH Moon, W Hsu, M van der Schaar
IEEE Transactions on Multimedia, 2016
302016
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
I Bica, AM Alaa, J Jordon, M van der Schaar
International Conference on Learning Representations (ICLR), 2020
262020
Between-centre differences for COVID-19 ICU mortality from early data in England
Z Qian, AM Alaa, M van Der Schaar, A Ercole
Intensive Care Medicine (ICM), 2020
252020
Validating Causal Inference Models via Influence Functions
A Alaa, M Van Der Schaar
International Conference on Machine Learning (ICML), 191-201, 2019
252019
Attentive state-space modeling of disease progression
AM Alaa, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 11334-11344, 2019
252019
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation
J Yoon, WR Zame, A Banerjee, M Cadeiras, AM Alaa, M van der Schaar
PloS one 13 (3), e0194985, 2018
252018
Bayesian nonparametric causal inference: Information rates and learning algorithms
AM Alaa, M van der Schaar
IEEE Journal of Selected Topics in Signal Processing, 2017
232017
Lifelong Bayesian Optimization
Y Zhang, J Jordon, AM Alaa, M van der Schaar
arXiv preprint arXiv:1905.12280, 2019
20*2019
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference
AM Alaa, M van der Schaar
Journal of Machine Learning Research, 2016
202016
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts
AM Alaa, J Yoon, S Hu, M van der Schaar
ICML 2016 - Workshop on Computational Frameworks for Personalization, 2016
202016
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Artikkelit 1–20