| 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 | 68 | 2017 |
| 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 | 38 | 2017 |
| 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 | 28 | 2016 |
| 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 | 28 | 2016 |
| 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 | 27 | 2017 |
| Limits of estimating heterogeneous treatment effects: Guidelines for practical algorithm design A Alaa, M Schaar International Conference on Machine Learning (ICML), 129-138, 2018 | 24 | 2018 |
| 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 | 23 | 2016 |
| 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 | 22 | 2019 |
| Deep Counterfactual Networks with Propensity-Dropout AM Alaa, M Weisz, M van der Schaar ICML 2017 - Workshop on Principled Approaches to Deep Learning, 2017 | 20 | 2017 |
| 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 | 17 | 2018 |
| 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 | 17 | 2018 |
| 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 | 17 | 2016 |
| 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 | 15 | 2016 |
| 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 | 14 | 2018 |
| Bayesian nonparametric causal inference: Information rates and learning algorithms AM Alaa, M van der Schaar IEEE Journal of Selected Topics in Signal Processing, 2017 | 14 | 2017 |
| 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 | 12 | 2014 |
| Attentive state-space modeling of disease progression AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 11334-11344, 2019 | 11 | 2019 |
| 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 | 11 | 2014 |
| 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 | 10 | 2018 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing Institute, UCLAVerified email at ee.ucla.edu
