Ahmed M. Alaa
Title
Cited by
Cited by
Year
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
682017
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
382017
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
282016
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
282016
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
272017
Limits of estimating heterogeneous treatment effects: Guidelines for practical algorithm design
A Alaa, M Schaar
International Conference on Machine Learning (ICML), 129-138, 2018
242018
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
232016
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
222019
Deep Counterfactual Networks with Propensity-Dropout
AM Alaa, M Weisz, M van der Schaar
ICML 2017 - Workshop on Principled Approaches to Deep Learning, 2017
202017
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
172018
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
172018
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
172016
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
152016
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
142018
Bayesian nonparametric causal inference: Information rates and learning algorithms
AM Alaa, M van der Schaar
IEEE Journal of Selected Topics in Signal Processing, 2017
142017
Achievable Degrees-of-Freedom of the K-user SISO Interference Channel with Blind Interference Alignment using Staggered Antenna Switching
AM Alaa, MH Ismail
IEEE Transactions on Vehicular Technology, 2014
122014
Attentive state-space modeling of disease progression
AM Alaa, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 11334-11344, 2019
112019
On the Capacity of the Underwater Acoustic Channel with Dominant Noise Sources
MA Kishk, AM Alaa
IEEE International Symposium on Telecommunication Technologies (ISTT 2014), 2014
112014
Lifelong Bayesian Optimization
Y Zhang, J Jordon, AM Alaa, M van der Schaar
arXiv preprint arXiv:1905.12280, 2019
10*2019
Prognostication and risk factors for cystic fibrosis via automated machine learning
AM Alaa, M van der Schaar
Nature Scientific reports 8 (1), 1-19, 2018
102018
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