ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar
- All publications
- Recent NIPS, ICML, ICLR, AAAI, AISTATS conferences
- Recent Machine Learning for Healthcare (MLHC) conference
- Clinical publications
- Clinical abstracts
- Communications and Networks publications

    Recent Machine Learning for Healthcare (MLHC) conference


  1. T. Kyono, F. J. Gilbert, M. van der Schaar, "Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis," Machine Learning for Healthcare Conference (MLHC), 2019. [Link]
  2. J. Yoon, J. Jordon, M. van der Schaar, "ASAC: Active Sensing using Actor-Critic Models," Machine Learning for Healthcare Conference (MLHC), 2019. [Link]
  3. A. Bellot, M. van der Schaar, "Boosted Trees for Risk Prognosis," Machine Learning for Healthcare Conference (MLHC), 2018. [Link]
  4. B. Lim, M. van der Schaar, "Disease-Atlas: Navigating Disease Trajectories using Deep Learning," Machine Learning for Healthcare Conference (MLHC), 2018. [Link] [Presentation] - Best Paper Award in IJCAI-BOOM Workshop