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
Andreas Bedorf
Jeroen Berrevoets
Alicia Curth
Bogdan Cebere
Mihaela van der Schaar
Nick Maxfield
Zhaozhi Qian
Ahmed Alaa
Jinsung Yoon
Daniel Jarrett
Ioana Bica