Tag - Interpretability

Alan Turing Institute ML in healthcare workshop – plenary

October 19, 2021

iMIMIC 2021 keynote

August 11, 2021

Interpretable machine learning

Research pillar: interpretable machine learning

Mihaela van der Schaar

Jonathan Crabbé

June 30, 2021

Million-patient study shows strength of machine learning in recommending breast cancer therapies

June 24, 2021

Making machine learning interpretable: a dialog with clinicians

Mihaela van der Schaar

June 9, 2021

Revolutionizing Healthcare: second roundtable on interpretability in ML/AI for healthcare

May 3, 2021

Revolutionizing Healthcare #7

April 6, 2021

Revolutionizing Healthcare: roundtable on interpretability in ML/AI for healthcare

Mihaela van der Schaar

April 2, 2021

Presentation on AutoML and interpretability (Microsoft Research event)

Mihaela van der Schaar

October 6, 2020

MLFPM 2020 lecture

September 21, 2020

Guardian article

Mihaela van der Schaar featured in Guardian article on reporting guidelines for AI clinical trials

September 10, 2020

CompAge 2020 keynote

Mihaela van der Schaar

September 1, 2020

RIIAA 2020 Keynote

Mihaela van der Schaar

August 27, 2020

MiLeTS 2020: Machine Learning for Healthcare in the COVID-19 Era

Mihaela van der Schaar

August 24, 2020

ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers

Mihaela van der Schaar

July 13, 2020

Tortoise Media interview on COVID-19

Tortoise Media interview with Mihaela van der Schaar: “Can AI solve the big issues?”

Mihaela van der Schaar

May 22, 2020

Professor Mihaela van der Schaar

Center for Data Innovation: “5 Q’s for Mihaela van der Schaar”

Mihaela van der Schaar

May 21, 2020

clairvoyance alpha: the first pipeline toolkit for medical time series

Mihaela van der Schaar

May 15, 2020

Automated machine learning will empower some and replace others

Mihaela van der Schaar

May 11, 2020

ICLR 2020: Mihaela van der Schaar’s Keynote and Q&A

Mihaela van der Schaar

May 4, 2020

Why medicine is creating exciting new frontiers for machine learning

Mihaela van der Schaar

April 30, 2020

Interpretability: from black boxes to white boxes

Mihaela van der Schaar

April 14, 2020

Turing Lecture: from black boxes to white boxes

Mihaela van der Schaar

March 11, 2020