ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar

    Ensemble Learning


  1. A. M. Alaa, T. Bolton, E. Di Angelantonio, J. H. F. Rudd, M. van der Schaar, "Cardiovascular Disease Risk Prediction using Automated Machine Learning: A Prospective Study of 423,604 UK Biobank Participants," PloS One, 2019.
  2. C. Lee, W. R. Zame, A. M. Alaa, M. van der Schaar, "Temporal Quilting for Survival Analysis," International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. [Link] [Supplementary Materials]
  3. A. Bellot, M. van der Schaar, "Boosting Survival Predictions with Auxiliary Data from Heterogeneous Domains," International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. [Link]
  4. A. Bellot, M. van der Schaar, "Multitask Boosting for Survival Analysis with Competing Risks," NIPS, 2018. [Link]
  5. A. Bellot, M. van der Schaar, "Boosted Trees for Risk Prognosis," Machine Learning for Healthcare Conference (MLHC), 2018. [Link]
  6. A. M. Alaa, M. van der Schaar, "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning," ICML, 2018. [Link]
  7. J. Yoon, W. R. Zame, A. Banerjee, M. Cadeiras, A. Alaa, M. van der Schaar, "Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation," PloS One, 2018. [Link] [Calculator Link]
  8. J. Yoon, W. R. Zame, M. van der Schaar, "ToPs: Ensemble Learning with Trees of Predictors," IEEE Transactions on Signal Processing (TSP), 2018. [Link]
  9. J. Yoon, A. M. Alaa, M. Cadeiras, M. van der Schaar, "Personalized Donor-Recipient Matching for Organ Transplantation," AAAI, 2017. [Link] [Poster]
  10. C. Tekin, J. Yoon, and M. van der Schaar, "Adaptive Ensemble Learning with Confidence Bounds," IEEE Trans. Signal Process., 2016. [Link]
  11. E. Soltanmohammadi, M. Naraghi-Pour, and M. van der Schaar, " Context-based Unsupervised Ensemble Learning and Feature Ranking," Machine Learning, pp. 1-27, June 2016. [Link]
  12. C. Tekin, J. Yoon, M. van der Schaar, "Adaptive ensemble learning with confidence bounds for personalized diagnosis," AAAI Workshop on Expanding the Boundaries of Health Informatics using AI (HIAI'16):Making Proactive, Personalized, and Participatory Medicine A Reality, 2016. [Link]
  13. L. Canzian, Y. Zhang, M. van der Schaar, "Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams," IEEE Trans. on Signal and Information Processing over Networks, vol. 1, no. 3, 2015. [Link]