Exploració per autor "Parés, Ferran"
Ara es mostren els items 1-3 de 3
-
An out-of-the-box full-network embedding for convolutional neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertFeatures extracted through transfer learning can be used to exploit deep learning representations in contexts where there are very few training samples, where there are limited computational resources, or when the tuning ... -
Data augmentation for deep learning of non-mydriatic screening retinal fundus images
(Springer, 2018)
Text en actes de congrés
Accés restringit per política de l'editorialFundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ... -
Focus! rating XAI methods and finding biases
(Barcelona Supercomputing Center, 2022-05)
Text en actes de congrés
Accés obertExplainability has become a major topic of research in Artificial Intelligence (AI), aimed at increasing trust in models such as Deep Learning (DL) networks. However, trustworthy models cannot be achieved with explainable ...
