6 citations · 8 across the 3 of their papers we have counts for
3 papers
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo +1
In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learn…
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez, Shengxiang-Yang, Armaghan Moemeni +4
The Corona Virus (COVID-19) is an internationalpandemic that has quickly propagated throughout the world. The application of deep learning for image classification of chest X-ray i…
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena +4
In this work, we propose MixMOOD - a systematic approach to mitigate effect of class distribution mismatch in semi-supervised deep learning (SSDL) with MixMatch. This work is divid…