Dealing with Distribution Mismatch in Semi-supervised Deep Learning for
Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature
Densities

Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities

17 August 2021

Saul Calderon-Ramirez

Shengxiang-Yang

David Elizondo

Armaghan Moemeni

Papers citing "Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities"

5 / 5 papers shown

Title
A Novel Dataset for Financial Education Text Simplification in Spanish Nelson Perez-Rojas Saúl Calderón Ramírez Martin Solis-Salazar Mario Romero-Sandoval Monica Arias-Monge Horacio Saggion 10 0 0 15 Dec 2023
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 11 3 0 03 Nov 2022
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data Saul Calderon-Ramirez Luis Oala 17 5 0 20 Apr 2021
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 16 19 0 02 May 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,276 0 06 Mar 2017