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Jordi de la Torre
Jordi de la Torre
Unknown affiliation
Verified email at uoc.edu
Title
Cited by
Cited by
Year
A deep learning interpretable classifier for diabetic retinopathy disease grading
J de La Torre, A Valls, D Puig
Neurocomputing 396, 465-476, 2020
1762020
Weighted kappa loss function for multi-class classification of ordinal data in deep learning
J de La Torre, D Puig, A Valls
Pattern Recognition Letters 105, 144-154, 2018
932018
Diabetic retinopathy detection through image analysis using deep convolutional neural networks
J de La Torre, A Valls, D Puig
Artificial Intelligence Research and Development, 58-63, 2016
112016
Validation of a deep learning algorithm for diabetic retinopathy
P Romero-Aroca, R Verges-Puig, J de la Torre, A Valls, ...
Telemedicine and e-Health 26 (8), 1001-1009, 2020
82020
Identification and visualization of the underlying independent causes of the diagnostic of diabetic retinopathy made by a deep learning classifier
J de La Torre, A Valls, D Puig, P Romero-Aroca
arXiv preprint arXiv:1809.08567, 2018
72018
Autocodificadores Variacionales (VAE) Fundamentos Te\'oricos y Aplicaciones
J de La Torre
arXiv preprint arXiv:2302.09363, 2023
12023
Transformadores: Fundamentos teoricos y Aplicaciones
J de La Torre
arXiv preprint arXiv:2302.09327, 2023
12023
Redes Generativas Adversarias (GAN) Fundamentos Te\'oricos y Aplicaciones
J de La Torre
arXiv preprint arXiv:2302.09346, 2023
12023
Modelos Generativos basados en Mecanismos de Difusi\'on
J de La Torre
arXiv preprint arXiv:2302.09378, 2023
2023
Validation of a Deep Learning Algorithm for Diabetic Retinopathy
M Baget-Bernaldiz, D Puig, N Relano-Barambio, A Valls, J de la Torre, ...
2020
Diabetic retinopathy classification and interpretation using deep learning techniques
J de La Torre
Universitat Rovira i Virgili, 2019
2019
Deep learning techniques for prediction of diabetic retinopathy severity
J de la Torre
4th URV Doctoral Workshop in Computer Science and Mathematics, 21, 2017
2017
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Articles 1–12