Enviaments recents

  • From saturated to unsaturated conditions and vice versa 

    Lloret Cabot, Marti; Wheeler, Simon J.; Pineda Jiménez, Jubert Andrés; Romero Merino, Enrique; Sheng, Daichao (2017-08-05)
    Article
    Accés obert
    Representing transitions between saturated and unsaturated conditions, during drying, wetting and loading paths, is a necessary step for a consistent unification between saturated and unsaturated soil mechanics. Transitions ...
  • Using random forests for assistance in the curation of G-protein coupled receptor databases 

    Shkurin, Aleksei; Vellido Alcacena, Alfredo (2017-08-18)
    Article
    Accés obert
    Background: Biology is experiencing a gradual but fast transformation from a laboratory-centred science towards a data-centred one. As such, it requires robust data engineering and the use of quantitative data analysis ...
  • Modeling perceptual categories of parametric musical systems 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Elsevier, 2017-07-11)
    Article
    Accés restringit per política de l'editorial
    In computer music fields, such as algorithmic composition and live coding, the aural exploration of parameter combinations is the process through which systems’ capabilities are learned and the material for different musical ...
  • Tradares: A tool for the automatic evaluation of human translation quality within an MOOC environment 

    Betanzos, Miguel; Ruiz Costa-Jussà, Marta; Belanche Muñoz, Luis Antonio (2017-05-13)
    Article
    Accés restringit per política de l'editorial
    In this paper, we introduce TradARES, a tool for the automatic evaluation of human translation quality developed in the context of an OpenEdx MOOC (Massive Open Online Course), setting the foundation for a tool that provides ...
  • Intelligent data analysis approaches to churn as a business problem: a survey 

    García Gómez, David; Nebot Castells, M. Àngela; Vellido Alcacena, Alfredo (2017-06)
    Article
    Accés obert
    Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition ...
  • Modeling and robust low level control of an omnidirectional mobile robot 

    Comasòlivas Font, Ramon; Quevedo Casín, Joseba Jokin; Escobet Canal, Teresa; Escobet Canal, Antoni; Romera Formiguera, Juli (2017-04-01)
    Article
    Accés restringit per política de l'editorial
    This paper presents the modeling and robust low-level control design of a redundant mobile robot with four omnidirectional wheels, the iSense Robotic (iSRob) platform, that was designed to test safe control algorithms. ...
  • A model for continuous monitoring of patients with major depression in short and long term periods 

    Múgica Álvarez, Francisco; Nebot Castells, M. Àngela; Bagherpour, Solmaz; Baladón, Luisa; Serrano, Antoni (2016-12-19)
    Article
    Accés obert
    BACKGROUND AND OBJECTIVE: Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of ...
  • Fuzzy inductive reasoning forecasting strategies able to cope withmissing data: A smart grid application 

    Jurado, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Mihaylov, Mihail (2017-02)
    Article
    Accés restringit per política de l'editorial
    Dealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ...
  • ECG assessment based on neural networks with pretraining 

    Ribas Ripoll, Vicent; Wojdel, Anna; Romero Merino, Enrique; Ramos, Pablo; Brugada Terradellas, Josep (2016-12-01)
    Article
    Accés restringit per política de l'editorial
    In this paper, we present a new automatic screening method to assess whether a patient from ambulatory care or emergency should be referred to a cardiology service. This method is based on deep neural networks with pretraining ...
  • Glucose oxidase biosensor modeling and predictors optimization by machine learning methods 

    González Navarro, Félix Fernando; Stilianova Stoytcheva, Margarita; Rentería Gutiérrez, Livier; Belanche Muñoz, Luis Antonio; Flores Ríos, Brenda L.; Ibarra Esquer, Jorge E. (2016-11-01)
    Article
    Accés obert
    Biosensors are small analytical devices incorporating a biological recognition element and a physico-chemical transducer to convert a biological signal into an electrical reading. Nowadays, their technological appeal resides ...
  • Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio; Gámez Moreno, María G.; Flores Ríos, Brenda L.; Ibarra Esquer, Jorge E.; López Morteo, Gabriel A. (2015-12-01)
    Article
    Accés obert
    Facioscapulohumeral muscular dystrophy (FSHD) is a neuromuscular disorder that shows a preference for the facial, shoulder and upper arm muscles. FSHD affects about one in 20-400,000 people, and no effective therapeutic ...
  • Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian decomposition and Bayesian neural networks 

    Arizmendi Pereira, Carlos Julio; Sierra Bueno, Daniel Alfonso; Vellido Alcacena, Alfredo; Romero Merino, Enrique (2014-09)
    Article
    Accés restringit per política de l'editorial
    Neuro-oncologists must ultimately rely on their acquired knowledge and accumulated experience to undertake the sensitive task of brain tumour diagnosis. This task strongly depends on indirect, non-invasive measurements, ...

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