Pedro Romero-Aroca

According to our database, Pedro Romero-Aroca authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks.

José Escorcia-Gutierrez, Jose Cuello, Margarita Gamarra, Pere Romero-Aroca, Eduardo Caicedo, Aïda Valls, Domenec Puig

Proceedings of the Computer Information Systems and Industrial Management, 2023

Challenges in the Exploitation of Historical Clinical Data for the Classification of Diabetic Retinopathy Patients.

Jordi Pascual-Fontanilles, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca

Proceedings of the Artificial Intelligence Research and Development, 2023

2022

Continuous Dynamic Update of Fuzzy Random Forests.

Jordi Pascual-Fontanilles, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca

Int. J. Comput. Intell. Syst., 2022

Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images.

José Escorcia-Gutierrez, Jose Cuello, Carlos Barraza, Margarita Gamarra, Pere Romero-Aroca, Eduardo Caicedo, Aïda Valls, Domenec Puig

Proceedings of the Computer Information Systems and Industrial Management, 2022

2021

A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images.

José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig

Expert Syst. Appl., 2021

Iterative Update of a Random Forest Classifier for Diabetic Retinopathy.

Jordi Pascual-Fontanilles, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca

Proceedings of the Artificial Intelligence Research and Development, 2021

2020

Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection.

José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig

Comput. Biol. Medicine, 2020

2019

A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation.

Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Humberto Bustince, Vicenç Torra

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019

2018

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier.

Jordi de La Torre, Aïda Valls, Domenec Puig, Pere Romero-Aroca

CoRR, 2018

Learning ensemble classifiers for diabetic retinopathy assessment.

Emran Saleh, Jerzy Blaszczynski, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Roman Slowinski

Artif. Intell. Medicine, 2018

Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models.

Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Vicenç Torra, Humberto Bustince

Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

2017

Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy.

Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca

Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016

Diabetic Retinopathy Risk Estimation Using Fuzzy Rules on Electronic Health Record Data.

Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

Assessment of diabetic retinopathy risk with random forests.

Silvia Sanromà, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A Fuzzy Random Forest Approach for the Detection of Diabetic Retinopathy on Electronic Health Record Data.

Emran Saleh, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez

Proceedings of the Artificial Intelligence Research and Development, 2016

Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals.

José Escorcia-Gutierrez, Jordina Torrents-Barrena, Pedro Romero-Aroca, Aïda Valls, Domenec Puig

Proceedings of the Artificial Intelligence Research and Development, 2016