Alex J. DeGrave

According to our database, Alex J. DeGrave authored at least 4 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

AI for radiographic COVID-19 detection selects shortcuts over signal.

Alex J. DeGrave, Joseph D. Janizek, Su-In Lee

Nat. Mach. Intell., 2021

2020

From local explanations to global understanding with explainable AI for trees.

Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee

Nat. Mach. Intell., 2020

An adversarial approach for the robust classification of pneumonia from chest radiographs.

Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Explainable AI for Trees: From Local Explanations to Global Understanding.

Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee

CoRR, 2019