Ahmed M. Alaa

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Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteAdresse e-mail validée de ee.ucla.edu
Jinsung YoonResearch Scientist at Google Cloud AIAdresse e-mail validée de google.com
Ioana BicaResearch Scientist at DeepMindAdresse e-mail validée de google.com
Anthony PhilippakisAdresse e-mail validée de google.com
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San FranciscoAdresse e-mail validée de ucsf.edu
David SontagProfessor, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Adrian L HarrisProfessor of Medical Oncology, Oxford UniversityAdresse e-mail validée de oncology.ox.ac.uk
Deepti GurdasaniKirby Institute, University of New South WalesAdresse e-mail validée de unsw.edu.au
Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyAdresse e-mail validée de berkeley.edu
Alicia CurthMicrosoft Research CambridgeAdresse e-mail validée de microsoft.com
Lars van der LaanPh.D. Student in Statistics, University of Washington, SeattleAdresse e-mail validée de uw.edu
Marie-Laure CharpignonPhD Candidate in Social & Engineering Systems and Statistics, MITAdresse e-mail validée de mit.edu
David OuyangCardiology, Cedars Sinai Medical CenterAdresse e-mail validée de cshs.org
James ZouStanford UniversityAdresse e-mail validée de stanford.edu
Zhiqing SunOpenAIAdresse e-mail validée de openai.com
Pradeep NatarajanMassachusetts General Hospital, Harvard Medical School, Broad Institute of Harvard and MITAdresse e-mail validée de partners.org
Maya Petersen, MD, PhDProfessor of Biostatistics, Epidemiology, and Computational Precision Health UC BerkeleyAdresse e-mail validée de berkeley.edu
Emre KıcımanSenior Principal Research Manager, Microsoft ResearchAdresse e-mail validée de microsoft.com
Travis Ian ZackOncology Fellow, University of California, San FranciscoAdresse e-mail validée de ucsf.edu
Pengtao XieAssistant Professor, UC San Diego; Adjunct Faculty, MBZUAIAdresse e-mail validée de eng.ucsd.edu

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Ahmed M. Alaa

Assistant Professor, UC Berkeley and UCSF

Adresse e-mail validée de berkeley.edu - Page d'accueil

Machine Learning Statistics Healthcare Causal Inference Biomedical Data Science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	541	2019
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	371	2017
From real‐world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges I Bica, AM Alaa, C Lambert, M van der Schaar Clinical Pharmacology and Therapeutics, 2020	224	2020
How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models AM Alaa, B van Breugel, E Saveliev, M van der Schaar International Conference on Machine Learning (ICML), 2022	222	2022
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 M Van der Schaar, AM Alaa, A Floto, A Gimson, S Scholtes, A Wood, ... Machine Learning 110, 1-14, 2021	213	2021
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	201	2020
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	173	2018
Limits of estimating heterogeneous treatment effects: Guidelines for practical algorithm design A Alaa, M Schaar International Conference on Machine Learning (ICML), 129-138, 2018	166	2018
Conformal Time-series Forecasting K Stankevičiūtė, A Alaa, M van der Schaar Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021	146*	2021
Attentive state-space modeling of disease progression AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 11334-11344, 2019	135	2019
Lifelong Bayesian Optimization Y Zhang, J Jordon, AM Alaa, M van der Schaar arXiv preprint arXiv:1905.12280, 2019	131*	2019
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	124	2017
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders I Bica, AM Alaa, M van der Schaar International Conference on Machine Learning (ICML), 2020	120	2020
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	118	2018
Deep Counterfactual Networks with Propensity-Dropout AM Alaa, M Weisz, M van der Schaar ICML 2017 - Workshop on Principled Approaches to Deep Learning, 2017	118	2017
Demystifying Black-box Models with Symbolic Metamodels AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 11301-11311, 2019	117	2019
Validating Causal Inference Models via Influence Functions A Alaa, M Van Der Schaar International Conference on Machine Learning (ICML), 191-201, 2019	113	2019
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results … C Lee, A Light, A Alaa, D Thurtle, M van der Schaar, VJ Gnanapragasam The Lancet Digital Health 3 (3), e158-e165, 2021	93	2021
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	90	2016
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	77	2018

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