• Deep Neural Networks to find genetics signatures 

      Moreno Jabato, Fernando (2017-01-26)
      This document contais the final dissertation ot the degree student Fernando Moreno Jabato for the studies Grade in Health Engeneering, speciality on Bioinformatics, of University of Málaga. This dissertation have been ...
    • Enabling Low Cost Smart Road Traffic Sensing 

      Toutouh, Jamal; Arellano-Verdejo, Javier; Alba-Torres, Enrique (Universitat Pompeu Fabra, 2017)
      Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside ...
    • Ground Extraction from 3D Lidar Point Clouds 

      Pomares, Antonio; Martínez, Jorge L.; Mandow, Anthony; Martinez-Sanchez, Maria Alcazar; Morán, Mariano (IEEE, 2018)
      Ground extraction from three-dimensional (3D) range data is a relevant problem for outdoor navigation of unmanned ground vehicles. Even if this problem has received attention with specific heuristics and segmentation ...
    • Non spontaneous saccadic movements identification in clinical electrooculography using machine learning 

      Becerra-García, Roberto Antonio; García-Bermúdez, Rodolfo; Joya-Caparrós, Gonzalo; Fernández-Higuera, Abel; Velázquez-Rodríguez, Camilo; [et al.] (Springer, 2015)
      In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography ...
    • On Boosting the Accuracy of Medical Image Diagnosis through Cooperation between Classifiers 

      Stoean, Catalin (2017-07-13)
      Each classifier has special inner workings that conduct to a specific separation between the samples that belong to various classes. Although two classifiers might lead to a similar prediction accuracy, the items from ...
    • Predicting Car Park Occupancy Rates in Smart Cities 

      Stolfi, Daniel H.; Alba-Torres, Enrique; Yao, Xin (Springer, 2017)
      In this article we address the study of parking occupancy data published by the Birmingham city council with the aim of testing several prediction strategies (polynomial fitting, Fourier series, k-means clustering, and ...
    • Prediction of Protein Oxidation Sites 

      Veredas-Navarro, Francisco Javier; Cantón, Francisco R.; Aledo-Ramos, Juan Carlos (Springer International Publishing AG, 2017-05-18)
      Although reactive oxygen species are best known as damag- ing agents linked to aerobic metabolism, it is now clear that they can also function as messengers in cellular signalling processes. Methionine, one of the two ...