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Pedro Romero-Aroca
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- affiliation: Universitat Rovira i Virgili, Reus, Spain
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2020 – today
- 2024
- [j6]Jordi Pascual-Fontanilles
, Aïda Valls
Multivariate data binning and examples generation to build a Diabetic Retinopathy classifier based on temporal clinical and analytical risk factors. Knowl. Based Syst. 300: 112154 (2024) - [c11]Jordi Pascual-Fontanilles
Fuzzy Logic-Based Variable Encoding for Improved Diabetic Retinopathy Prediction. CCIA 2024: 80-89 - 2023
- [c10]Jordi Pascual-Fontanilles
Challenges in the Exploitation of Historical Clinical Data for the Classification of Diabetic Retinopathy Patients. CCIA 2023: 204-207 - [c9]José Escorcia-Gutierrez
Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks. CISIM 2023: 240-252 - 2022
- [j5]Jordi Pascual-Fontanilles
Continuous Dynamic Update of Fuzzy Random Forests. Int. J. Comput. Intell. Syst. 15(1): 74 (2022) - [c8]José Escorcia-Gutierrez
Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images. CISIM 2022: 202-213 - 2021
- [j4]José Escorcia-Gutierrez
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. Expert Syst. Appl. 174: 114697 (2021) - [c7]Jordi Pascual-Fontanilles
Iterative Update of a Random Forest Classifier for Diabetic Retinopathy. CCIA 2021: 207-216 - 2020
- [j3]José Escorcia-Gutierrez
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. Comput. Biol. Medicine 127: 104049 (2020)
2010 – 2019
- 2019
- [j2]Emran Saleh
A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1): 59-76 (2019) - 2018
- [j1]Emran Saleh
Learning ensemble classifiers for diabetic retinopathy assessment. Artif. Intell. Medicine 85: 50-63 (2018) - [c6]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca
Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models. MDAI 2018: 114-127 - [i1]Jordi de La Torre, Aïda Valls, Domenec Puig, Pere Romero-Aroca
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. CoRR abs/1809.08567 (2018) - 2017
- [c5]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca
Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy. CCIA 2017: 6-15 - 2016
- [c4]José Escorcia-Gutierrez
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. CCIA 2016: 39-44 - [c3]Emran Saleh
A Fuzzy Random Forest Approach for the Detection of Diabetic Retinopathy on Electronic Health Record Data. CCIA 2016: 169-174 - [c2]Silvia Sanromà, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo:
Assessment of diabetic retinopathy risk with random forests. ESANN 2016 - [c1]Emran Saleh
Diabetic Retinopathy Risk Estimation Using Fuzzy Rules on Electronic Health Record Data. MDAI 2016: 263-274
Coauthor Index
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