Now showing items 41-60 of 1014

    • A QoS-aware framework for traffic classificationin software-defined networks 

      Salvat Lozano, Josep Xavier (Universitat Politècnica de Catalunya, 2014-12-15)
      Master thesis (pre-Bologna period)
      Restricted access - author's decision
      Covenantee:   Georgia Institute of Technology
      [ANGLÈS] How can we build a system for traffic classification so that different QoS levels can be identified? How can we analyse different network parameters and identify a specific QoS for every flow? The purp ose of ...
    • A quality control method for fraud detection on utility customers without an active contract 

      Coma Puig, Bernat; Carmona Vargas, Josep (Association for Computing Machinery (ACM), 2018)
      Conference report
      Open Access
      Fraud detection in energy consumption has proven to be a difficult problem for current techniques. In general, the approaches used in this area are restricted to compute a fraud score for each client based on its behaviour. ...
    • A quaternion deterministic monogenic CNN layer for contrast invariance 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...
    • A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics 

      Berral García, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In ...
    • A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients 

      Ribas Ripoll, Vicent; Romero Merino, Enrique; Ruiz Rodríguez, Juan Carlos; Vellido Alcacena, Alfredo (2013)
      Conference report
      Open Access
      In this paper, we describe a novel kernel for multinomial distributions, namely the Quotient Basis Kernel (QBK), which is based on a suitable reparametrization of the input space through algebraic geometry and statistics. ...
    • A randomized algorithm for the exact solution of transductive support vector machines 

      Esposito, Gennaro; Martín Muñoz, Mario (2015-05-13)
      Article
      Open Access
      Random sampling is an efficient method for dealing with constrained optimization problems. In computational geometry, this method has been successfully applied, through Clarkson’s algorithm (Clarkson 1996), to solve a ...
    • A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics 

      Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-07-03)
      External research report
      Open Access
      In this work we assess the role of data characteristics in the accuracy of machine learning (ML) tourism forecasts from a spatial perspective. First, we apply a seasonal-trend decomposition procedure based on non-parametric ...
    • A reinforcement learning algorithm for optimalVirtual network functions allocations among 5G edge computing centers 

      Ruiz De Mendoza, Carlos Ausias (Universitat Politècnica de Catalunya, 2021-07-14)
      Master thesis
      Restricted access - confidentiality agreement
      Covenantee:   Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
      The fifth generation (5G) mobile networks are enabling operators and stakeholders to enhance and innovate new services in response to an increasing market demand. 5G architecture provides scalability and flexibility for ...
    • A Review of Regression Trees Algorithms in C++ and their application 

      Hernández Escavy, Jesús (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      Open Access
      En aquesta tesis s'ha desenvolupat un software de generació d'arbres de decisió que fa completament autoexplicatius els arbres generats ja que, a més de la construcció del mateix, s'ha inclòs un conversor de regles lògiques ...
    • A software system for the microbial source tracking problem 

      Sànchez Mendoza, David; Belanche Muñoz, Luis Antonio; Blanch, Anicet R. (2011)
      Conference report
      Open Access
      The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples ...
    • A Software system for the microbial source tracking problem 

      Sánchez-Mendoza, David (Universitat Politècnica de Catalunya, 2012-06-20)
      Master thesis
      Open Access
      The Microbial Source Tracking problem (MST) has to do with the determination of the fecal pollution origin in waters by the use of microbial and chemical indicators. This document introduces a methodology for solving MST ...
    • A stochastic approach for automatic layout synthesis in interior design, using a learningbased scoring function 

      Racec, Emil (Universitat Politècnica de Catalunya, 2016-07-06)
      Master thesis
      Open Access
      Covenantee:   Interiorvista
      Despite the increasing capabilities of computers to master sophisticated human-like tasks and the recent explosive new wave of Machine Learning-based methods, the interior design field still remains a hard-to-master area, ...
    • A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic 

      Carela Español, Valentín; Barlet Ros, Pere; Bifet Figuerol, Albert Carles; Fukuda, Kensuke (2016-10)
      Article
      Open Access
      The continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques ...
    • A study of feature selection algorithms for accuracy estimation 

      Butt, Kashif Javed (Universitat Politècnica de Catalunya, 2012-09)
      Master thesis
      Open Access
      The main purpose of Feature Subset Selection is to find a reduced subset of attributes from a data set described by a feature set. The task of a feature selection algorithm (FSA) is to provide with a computational ...
    • A study of neural behavioral differences among CNN architectures 

      Gimenez Abalos, Victor (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      Open Access
      La extracción de activaciones neuronales de una red neuronal convolucional permite reutilizar representaciones internas de un modelo pre-entrenado para resolver problemas nuevos, incluso no relacionados con el problema ...
    • A Study of normalizing flows for rich posterior approximations 

      Saurabh, Abhishek (Universitat Politècnica de Catalunya, 2017-10-17)
      Master thesis
      Open Access
      Covenantee:   Technische Universität München
    • A study on output normalization in multiclass SVMs 

      González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2013-02-01)
      Article
      Restricted access - publisher's policy
      The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, ...
    • A supervised learning framework for news-based sentiment scores conditioned to financial returns 

      Porta Vallés, Marcel (Universitat Politècnica de Catalunya, 2020-10-29)
      Master thesis
      Open Access
      Finance is about managing money. There are several instruments for dealing with money. There are defined strategies more or less complex, mathematical models for optimal selection of stocks combination and for prediction ...
    • A survey on automatic habitat mapping 

      Diegues, André; Borges Sousa, João (SARTI, 2018)
      Article
      Open Access
      Habitat mapping can help assess the health of an ecosystem but the task is not always straightforward as, depending on the environment to be mapped, data types can be very different, such as marine and land habitats where ...
    • A thermodynamic algorithm for feature selection 

      Belanche Muñoz, Luis Antonio; González Navarro, Félix Fernando (Thomson Editores Spain, 2007)
      Conference report
      Open Access
      The main purpose of Feature Selection (FS) is to find a reduced subset of attributes from a data set described by a feature set. This implies a search process in the space of possible solutions, trying to optimize an ...