Now showing items 1-6 of 6

    • Machine learning algorithms for predicting the amplitude of chaotic laser pulses 

      Amil Marletti, Pablo; Cornelles Soriano, Miguel; Masoller Alonso, Cristina (Institute of Physics (IOP), 2019-11-12)
      Article
      Restricted access - publisher's policy
      Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we use a laser model to compare the performance ...
    • Machine learning methods for the characterization and classification of complex data 

      Amil Marletti, Pablo (Universitat Politècnica de Catalunya, 2020-02-11)
      Doctoral thesis
      Open Access
      This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT ...
    • Network-based features for retinal fundus vessel structure analysis 

      Amil Marletti, Pablo; Reyes Manzano, César F.; Guzmán Vargas, Lev; Sendiña, Irene; Masoller Alonso, Cristina (Public Library of Science (PLOS), 2019-01-01)
      Article
      Open Access
      Retinal fundus imaging is a non-invasive method that allows visualizing the structure of the blood vessels in the retina whose features may indicate the presence of diseases such as diabetic retinopathy (DR) and glaucoma. ...
    • Outlier Mining Methods Based on Graph Structure Analysis 

      Amil Marletti, Pablo; Almeira, Nahuel; Masoller Alonso, Cristina (Frontiers Media SA, 2019-11-26)
      Article
      Open Access
      Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine ...
    • Remote recovery of audio signals from videos of optical speckle patterns: a comparative study of signal recovery algorithms 

      Halpaap Halpaap, Herbert Donatus; Amil Marletti, Pablo; Tiana Alsina, Jordi; Masoller Alonso, Cristina (2020-03-16)
      Article
      Open Access
      Optical remote sensors are nowadays ubiquitously used, thanks to unprecedented advances in the last decade in photonics, machine learning and signal processing tools. In this work we study experimentally the remote recovery ...
    • Unsupervised feature extraction of anterior chamber OCT images for ordering and classification 

      Amil Marletti, Pablo; González, Laura; Arrondo Murillo, Elena; Salinas Almela, Cecilia; Güell, José Luis; Masoller Alonso, Cristina; Parlitz, Ulrich (Nature, 2019-02-04)
      Article
      Open Access
      We propose an image processing method for ordering anterior chamber optical coherence tomography (OCT) images in a fully unsupervised manner. The method consists of three steps: Firstly we preprocess the images (filtering ...