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Anabel Gómez-Ríos
ORCID
Publication Activity (10 Years)
Years Active: 2017-2021
Publications (10 Years): 7
Top Topics
Chest Radiographs
Texture Images
Convolutional Neural Networks
Label Noise
Top Venues
CoRR
IEEE J. Biomed. Health Informatics
Expert Syst. Appl.
Knowl. Based Syst.
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Publications
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Anabel Gómez-Ríos
,
Julián Luengo
,
Francisco Herrera
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training.
CoRR
(2021)
Siham Tabik
,
Anabel Gómez-Ríos
,
J. L. Martín-Rodríguez
,
I. Sevillano-García
,
Manuel Rey-Area
,
David Charte
,
Emilio Guirado
,
Juan-Luis Suárez
,
Julián Luengo
,
M. A. Valero-González
,
P. García-Villanova
,
E. Olmedo-Sánchez
,
Francisco Herrera
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images.
CoRR
(2020)
Siham Tabik
,
Anabel Gómez-Ríos
,
J. L. Martín-Rodríguez
,
I. Sevillano-García
,
Manuel Rey-Area
,
David Charte
,
Emilio Guirado
,
Juan-Luis Suárez
,
Julián Luengo
,
M. A. Valero-González
,
P. García-Villanova
,
E. Olmedo-Sánchez
,
Francisco Herrera
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images.
IEEE J. Biomed. Health Informatics
24 (12) (2020)
Anabel Gómez-Ríos
,
Siham Tabik
,
Julián Luengo
,
A. S. M. Shihavuddin
,
Francisco Herrera
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.
Knowl. Based Syst.
184 (2019)
Anabel Gómez-Ríos
,
Siham Tabik
,
Julián Luengo
,
A. S. M. Shihavuddin
,
Bartosz Krawczyk
,
Francisco Herrera
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.
Expert Syst. Appl.
118 (2019)
Anabel Gómez-Ríos
,
Siham Tabik
,
Julián Luengo
,
A. S. M. Shihavuddin
,
Bartosz Krawczyk
,
Francisco Herrera
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation.
CoRR
(2018)
Anabel Gómez-Ríos
,
Julián Luengo
,
Francisco Herrera
A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost.
HAIS
(2017)