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David Elizondo

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mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms

May 30, 2023
Antonio J. Rivera, Miguel A. Dávila, David Elizondo, María J. del Jesus, Francisco Charte

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

Mar 10, 2022
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo

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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

Aug 17, 2021
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

Jul 24, 2021
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

Jun 10, 2021
Willard Zamora-Cardenas, Mauro Mendez, Saul Calderon-Ramirez, Martin Vargas, Gerardo Monge, Steve Quiros, David Elizondo, David Elizondo, Miguel A. Molina-Cabello

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

Aug 20, 2020
Saul Calderon-Ramirez, Shengxiang-Yang, Armaghan Moemeni, David Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello

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