Now showing items 1-20 of 58

    • A kernel for time series classification: application to atmospheric pollutants 

      Arias Vicente, Marta; Troncoso, Alicia; Riquelme, José C. (2012)
      Conference report
      Open Access
      In this paper a kernel for time-series data is presented. The main idea of the kernel is that it is designed to recognize as similar time series that may be slightly shifted with one another. Namely, it tries to focus on ...
    • A model for a multiresolution time series database system 

      Llusà Serra, Aleix; Escobet Canal, Teresa; Vila Marta, Sebastià (WSEAS Press, 2013)
      Conference report
      Open Access
      In this paper we propose a model for multiresolution time series database management systems. Thismodel stores compactly a time series and manages consistently its temporal dimension. This is achieved byextracting different ...
    • A study of the air-sea interaction in the South Atlantic Convergence Zone through Granger causality 

      Tirabassi, Giulio; Masoller Alonso, Cristina; Barreiro, Marcelo (Wiley, 2015-10-01)
      Article
      Open Access
      Air-sea interaction in the region of the South Atlantic Convergence Zone (SACZ) is studied using Granger causality (GC) as a measure of directional coupling. Calculation of the area weighted connectivity indicates that the ...
    • An interval technical indicator for financial time series forecasting 

      Ruiz Vegas, Francisco Javier; Samà Monsonís, Albert; Sanchez, German; Sanabria, José A.; Agell Jané, Núria (2011)
      Conference report
      Open Access
      In this work we compare the performance of some standard technical indicators with an interval technical indicator, the moving interval (MI), for time series forecasting. MI has the advantage of taking into account the ...
    • Analysis of noise-induced temporal correlations in neuronal spike sequences 

      Reinoso, Jose A.; Torrent Serra, Maria del Carmen; Masoller Alonso, Cristina (2016-11-01)
      Article
      Open Access
      We investigate temporal correlations in sequences of noise-induced neuronal spikes, using a symbolic method of time-series analysis. We focus on the sequence of time-intervals between consecutive spikes (inter-spike-intervals, ...
    • Analyzing human gait and posture by combining feature selection and kernel methods 

      Samà Monsonís, Albert; Angulo Bahón, Cecilio; Pardo Ayala, Diego Esteban; Català Mallofré, Andreu; Cabestany Moncusí, Joan (2011-09)
      Article
      Open Access
      This paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes ...
    • Anàlisi de la variabilitat del ritme cardíac en corredors del Projecte Summit 

      Birk Tuá, Sara; Forgas Ylla-català, Ariadna (Universitat Politècnica de Catalunya, 2016-06-23)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • Anàlisi, detecció i estudi de bombolles múltiples en sèries temporals de freqüència de cerques a Google 

      Criballés Vilamitjana, Sabina (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2020-06)
      Bachelor thesis
      Open Access
      [cat] La detecció de períodes d’exhuberància i crisi en sèries temporals permet una anàlisi més a fons d’aquestes, i un desenvolupament de millors mètodes de predicció. Dins el comportament d’una sèrie trobem les bombolles: ...
    • Análisis de series temporales: Uso del transporte público en Barcelona 

      El Amrani Joutey, El Habib (Universitat Politècnica de Catalunya, 2020-07-14)
      Bachelor thesis
      Open Access
      Avui dia existeixen diversos models d'anàlisi de sèries temporals. En el present TFG es pretén realitzar un estudi comparatiu sobre diferents models: ARIMA, SARIMA i Holt-Winters aplicats a l'evolució de l'transport públic ...
    • Are the markets influenced by the frequency and the long relationships? 

      Márquez, M. Dolores; Muñoz Gracia, María del Pilar (2008)
      Conference report
      Restricted access - publisher's policy
      This paper analyzes the multivariate volatility effects among the indexes returns time series of the main stock markets. We detect, applying cointegration techniques, relations of interdependence between these markets and ...
    • Artificial neural networks applied to forecasting time series 

      Montaño Moreno, Juan José; Palmer Pol, Alfonso; Muñoz Gracia, María del Pilar (2011)
      Article
      Restricted access - publisher's policy
      This study offers a description and comparison of the main models of Artificial Neural Networks (ANN) which have proved to be useful in time series forecasting, and also a standard procedure for the practical application ...
    • Characterizing signal encoding and transmission in class i and class II neurons via ordinal time-series analysis 

      Estarellas Martín, Cristian; Masoliver Vila, Maria; Masoller Alonso, Cristina; Mirasso Santos, Claudio Rubén (Institute of Physics (IOP), 2020-01-16)
      Article
      Open Access
      Neurons encode and transmit information in spike sequences. However, despite the effort devoted to understand the encoding and trans-mission of information, the mechanisms underlying the neuronal encoding are not yet fully ...
    • Clustering and visualization of multivariate time series 

      Vellido Alcacena, Alfredo; Olier Caparroso, Iván (Information Science Reference, 2009)
      Part of book or chapter of book
      Restricted access - publisher's policy
      The exploratory investigation of multivariate time series (MTS) may become extremely difficult, if not impossible, for high dimensional datasets. Paradoxically, to date, little research has been conducted on the exploration ...
    • Coastline detection based on Sentinel-1 time series for ship- and flood-monitoring applications 

      Pelich, Ramona; Chini, Marco; Hostache, Renaud; Matgen, Patrick; López Martínez, Carlos (2020)
      Article
      Open Access
      This letter addresses the use of the Sentinel-1 time series with the aim of proposing an automatic and unsupervised coastline detection method that averages the dynamical variations of coastal areas over a limited period ...
    • Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network 

      Quevedo Casín, Joseba Jokin; Chen, Heran; Cugueró Escofet, Miquel Àngel; Tino, Peter; Puig Cayuela, Vicenç; García Valverde, Diego; Sarrate Estruch, Ramon; Yao, Xin (2014-02-14)
      Article
      Restricted access - publisher's policy
      In this paper, an integrated data validation/reconstruction and fault diagnosis approach is proposed for critical infrastructure systems. The proposed methodology is implemented in a two-stage approach. In the first stage, ...
    • Comparación de correctores automáticos de artefactos en series RR 

      Benítez Herrera, Adolfo (Universitat Politècnica de Catalunya, 2013-02-08)
      Master thesis (pre-Bologna period)
      Open Access
      [ANGLÈS] This End of Degree Project (EDP) analyzes three commercial software which correct Hear Rate Variability (HRV) RR time series. The analysis was performed by entering the RR time series in each program with an ...
    • Comparing the dynamics of periodically forced lasers and neurons 

      Tiana Alsina, Jordi; Quintero Quiroz, Carlos Alberto; Masoller Alonso, Cristina (2019-10-21)
      Article
      Open Access
      Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing that canrevolutionize information processing and artificial intelligence systems. To implement practicalphotonic neural networks is ...
    • Convolutional Neural Networks, image recognition and financial time series forecasting 

      Arratia Quesada, Argimiro Alejandro; Sepúlveda, Eduardo (2019)
      Conference report
      Restricted access - publisher's policy
      Convolutional Neural Networks (CNN) are best known as good image classifiers. This model is recently been used for financial forecasting. The purpose of this work is to show that by converting financial information into ...
    • Data mining en sèries temporals : aportació pràctica 

      Delriu Campillo, Raquel (Universitat Politècnica de Catalunya, 2001-10)
      Master thesis (pre-Bologna period)
      Open Access
      En un món en que la capacitat de generar informació augmenta constantment i en que les dades generades són cada vegada més complexes, analitzar la informació i utilitzar el coneixement extret per regir comportaments futurs ...
    • Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks 

      Boaretto, Bruno R.; Budzinski, Roberto C.; Rossi, Kalel L.; Prado, Thiago L.; Lopes, Sergio R.; Masoller Alonso, Cristina (Nature, 2021-08-04)
      Article
      Open Access
      Extracting relevant properties of empirical signals generated by nonlinear, stochastic, and high-dimensional systems is a challenge of complex systems research. Open questions are how to differentiate chaotic signals from ...