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Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey



Saul Calderon-Ramirez , Shengxiang Yang , David Elizondo

* Submission to IEEE Transactions on AI 

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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 , Armaghan Moemeni


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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 , David Elizondo , Shengxiang Yang , Miguel Molina-Cabello


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Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images



Willard Zamora-Cardenas , Mauro Mendez , Saul Calderon-Ramirez , Martin Vargas , Gerardo Monge , Steve Quiros , David Elizondo , David Elizondo , Miguel A. Molina-Cabello

* Accepted at the IWANN 2021 (International Work-Conference on Artificial and Natural Neural Networks) 

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More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data



Saul Calderon-Ramirez , Luis Oala

* Presented as a RobustML workshop paper at ICLR 2021. Both authors contributed equally. This article extends arXiv:2006.07767 

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Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images



Saul Calderon-Ramirez , Shengxiang-Yang , Armaghan Moemeni , David Elizondo , Simon Colreavy-Donnelly , Luis Fernando Chavarria-Estrada , Miguel A. Molina-Cabello

* Under journal review 

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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 , Shengxiang Yang , Armaghan Moemeni , Wojciech Samek , Miguel A. Molina-Cabello

* The first two authors made equal contribution 

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