Work

Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi56570.2024.10635511

Authors: Tal Zeevi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey

Institution: Yale University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: HORIZON EUROPE Health

OpenAlex ID: W4401749940

FWCI: 3.626

Cites: 17

Cited by: 15

Related to: 10