Now showing items 1-5 of 5

    • Data augmentation for deep learning of non-mydriatic screening retinal fundus images 

      Moya Sánchez, Eduardo Ulises; Sánchez Pérez, Abraham; Zapata Victori, Miguel Ángel; Moreno, Jonatan; Garcia Gasulla, Dario; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises (Springer, 2018)
      Conference report
      Restricted access - publisher's policy
      Fundus 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 ...
    • Fluid communities: a competitive, scalable and diverse community detection algorithm 

      Parés Sabatés, Ferran; García Gasulla, Darío; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Springer, 2017)
      Conference report
      Restricted access - publisher's policy
      We introduce a community detection algorithm (Fluid Communities) based on the idea of fluids interacting in an environment, expanding and contracting as a result of that interaction. Fluid Communities is based on the ...
    • On the behavior of convolutional nets for feature extraction 

      Garcia-Gasulla, Dario; Parés Pont, Ferran; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (2018-03)
      Article
      Open Access
      Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ...
    • On the representativeness of convolutional neural networks layers 

      García Gasulla, Darío; Moreno, Jonatan; Ramos-Pollan, Raúl; Casadiegos Barrios, Romel; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Suzumura, Toyotaro (IOS PRESS EBOOKS, 2016)
      Part of book or chapter of book
      Open Access
      Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative ...
    • Using multi-agent systems to mediate in an assistive social network for elder population 

      Barrué Subirana, Cristian; Cortés, Atia; Moreno, Jonatan; Pérez Pasalodos, Miguel; Cortés García, Claudio Ulises (IOS Press, 2015)
      Conference lecture
      Restricted access - publisher's policy
      Nowadays ubiquitous connectivity, portable computing, pervasive sensing, novel interfaces, cheap and fast computing units, and advances in robotic devices and actuators are changing our lives, our living environments, and ...