Revolutionizing Healthcare: AutoPrognosis: Using the next generation of ML toolsAndreas BedorfOctober 26, 2022
Data Imputation: An essential yet overlooked problem in machine learningJeroen BerrevoetsAlicia CurthBogdan CebereMihaela van der SchaarAugust 16, 2022
Million-patient study shows strength of machine learning in recommending breast cancer therapiesNick MaxfieldJune 24, 2021
Inspiration Exchange: software packages for automated machine learningNick MaxfieldMihaela van der SchaarNovember 10, 2020
Presentation on AutoML and interpretability (Microsoft Research event)Mihaela van der SchaarOctober 6, 2020
Inspiration Exchange: automated machine learning pipelinesNick MaxfieldMihaela van der SchaarOctober 6, 2020
Paper on COVID-19 hospital capacity planning published in Machine LearningZhaozhi QianAhmed AlaaMihaela van der SchaarNick MaxfieldSeptember 26, 2020
Inspiration Exchange: introduction to automated machine learningNick MaxfieldMihaela van der SchaarSeptember 2, 2020
MiLeTS 2020: Machine Learning for Healthcare in the COVID-19 EraMihaela van der SchaarAugust 24, 2020
AutoML: powering the new human-machine learning ecosystemMihaela van der SchaarNick MaxfieldAugust 5, 2020
ICML 2020: Automated ML and its transformative impact on medicine and healthcareMihaela van der SchaarJuly 18, 2020
ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and FrontiersMihaela van der SchaarJuly 13, 2020
ICME 2020 keynote: A Nationally-Implemented AI Solution for COVID-19Mihaela van der SchaarJuly 7, 2020
clairvoyance alpha: the first pipeline toolkit for medical time seriesMihaela van der SchaarJinsung YoonZhaozhi QianDaniel JarrettIoana BicaMay 15, 2020