5 citations · 8 across the 4 of their papers we have counts for
4 papers
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata, Saul Calderon-Ramirez
Semi-supervised learning (SSL) leverages both labeled and unlabeled data for training models when the labeled data is limited and the unlabeled data is vast. Frequently, the unlabe…
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…
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…
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
Saul Calderon-Ramirez, Luis Oala
A common heuristic in semi-supervised deep learning (SSDL) is to select unlabelled data based on a notion of semantic similarity to the labelled data. For example, labelled images…