6 citations · 9 across the 4 of their papers we have counts for
4 papers
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo
Deep learning methodologies have been employed in several different fields, with an outstanding success in image recognition applications, such as material quality control, medical…
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…
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
Saul Calderon-Ramirez, Diego Murillo-Hernandez, Kevin Rojas-Salazar +3
The implementation of deep learning based computer aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of d…
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…