Anabel Gómez-Ríos

According to our database, Anabel Gómez-Ríos authored at least 5 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training.

Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera

CoRR, 2021

2020

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images.

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, Eulalia Olmedo-Sánchez, Francisco Herrera

IEEE J. Biomed. Health Informatics, 2020

2019

Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.

Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Francisco Herrera

Knowl. Based Syst., 2019

Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.

Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera

Expert Syst. Appl., 2019

2017

A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost.

Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017