Work

A robust variational autoencoder using beta divergence

Year: 2021

Type: article

Source: Knowledge-Based Systems

DOI: 10.1016/j.knosys.2021.107886

Authors: Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy

Institutions: University of Southern California, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Amazon (United States)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: U.S. Department of Defense, National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: G2038667136, BrainSuite: Software for Analysis and Visualization of Multimodal Brain Imaging Data, BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging

OpenAlex ID: W4200469019

FWCI: 2.023

Cites: 52

Cited by: 43

Related to: 10