Recent Submissions

  • A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules 

    Bagherpour, Solmaz; Múgica Álvarez, Francisco; Nebot Castells, M. Àngela (2015)
    Conference lecture
    Restricted access - publisher's policy
    Generalizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of ...
  • A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems 

    Múgica Álvarez, Francisco; Paz Ortiz, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique (2015)
    Conference report
    Restricted access - publisher's policy
    Algorithmic composition systems are now widely understood. However, its capacity for producing outputs consistently showing high level structures is still a field of research. In the present work, the Fuzzy Inductive ...
  • A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data 

    Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), 2015)
    Conference report
    Open Access
    Load forecasting in buildings and homes has been in recent years a task of increasing importance. New services and functionalities can be offered in the home environment due to this predictions, for instance, the detection ...
  • Exploratory visualization of misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques 

    Cárdenas Domínguez, Martha Ivón; Vellido Alcacena, Alfredo; König, Caroline; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (Copicentro Granada, 2014)
    Conference report
    Open Access
    Class C G-protein-coupled receptors (GPCRs) are cell membrane proteins of great relevance to biology and pharmacology. Previous research has revealed an upper boundary on the accuracy that can be achieved in their ...
  • Misclassification of class C G-protein-coupled receptors as a label noise problem 

    König, Caroline; Vellido Alcacena, Alfredo; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (2014)
    Conference lecture
    Open Access
    G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins of relevance to biology and pharmacology. Their supervised classification in subtypes is hampered by label noise, which stems from a combination of expert ...
  • Finding class C GPCR subtype-discriminating n-grams through feature selection 

    König, Caroline; Alquézar Mancho, René; Vellido Alcacena, Alfredo; Giraldo Arjonilla, Jesús (Springer International Publishing, 2014)
    Conference report
    Open Access
    G protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest ...
  • Low level control of an omnidirectional mobile robot 

    Comasòlivas Font, Ramon; Quevedo Casín, Joseba Jokin; Escobet Canal, Teresa; Escobet Canal, Antoni; Romera Formiguera, Juli (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
  • Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences 

    Cárdenas Domínguez, Martha Ivón; Vellido Alcacena, Alfredo; Giraldo Arjonilla, Jesús (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Restricted access - publisher's policy
    This brief paper addresses the problem of visually assessing the natural discriminability of the different subtypes that characterize class C G-Protein-Coupled Receptors, which are membrane proteins of interest in pharmacology, ...
  • Assessment of electrocardiograms with pretraining and shallow networks 

    Ribas Ripoll, Vicent; Wojdel, Anna; Ramos, Pablo; Romero Merino, Enrique; Brugada Terradellas, Josep (Computing in Cardiology, 2014)
    Conference report
    Open Access
    Objective: Clinical Decision Support Systems normally resort to annotated signals for the automatic assessment of ECG signals. In this paper we put forward a new method for the assessment of normal/abnormal heart function ...
  • Stopping criteria in contrastive divergence: Alternatives to the reconstruction error 

    Buchaca, David; Romero Merino, Enrique; Mazzanti Castrillejo, Fernando Pablo; Delgado Pin, Jordi (2014)
    Conference report
    Open Access
    Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Divergence learning algorithm (CD), an ...

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