Ara es mostren els items 1-20 de 75

  • A data-driven approach to construct survey-based indicators by means of evolutionary algorithms 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-11-09)
    Article
    Accés obert
    In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...
  • A multivariate neural network approach to tourism demand forecasting 

    Claveria, Oscar; Monte Moreno, Enrique; Torra, Salvador (2013-12-04)
    Report de recerca
    Accés obert
    This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a multiple-output framework. We test the forecasting accuracy of three different types of architectures: ...
  • A new approach for the quantification of qualitative measures of economic expectations 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-09-24)
    Article
    Accés obert
    In this study a new approach to quantify qualitative survey data about the direction of change is presented. We propose a data-driven procedure based on evolutionary computation that avoids making any assumption about ...
  • A new forecasting approach for the hospitality industry 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-10-01)
    Article
    Accés obert
    Purpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations ...
  • A segmentation algorithm based on acoustical features using a self organizing neural network. 

    Monte Moreno, Enrique (. EUROSPEECH, 1993)
    Text en actes de congrés
    Accés obert
    In this paper we investigate the use of a self-organizing map in an acoustic segmentation task. The aim is to obtain a limited number of acoustic classes and to segment whenever a change in the class between two adjacent ...
  • A self organizing feature map based on the fisher discriminant 

    Monte Moreno, Enrique (1994)
    Text en actes de congrés
    Accés obert
    In this paper we propose a modification of the Self Organising map, where we is train the units using a transformation related to the Fisher Discriminant, in order to maximise the discrimination between units. The algorithm ...
  • A VQ based speaker recognition system based in histogram distances. Text independent and for noisy environements 

    Monte Moreno, Enrique; Arqué, Ramón; Miro, Xavi (Robert H. Mannel and Jordi Robert-Ribes, 1998)
    Text en actes de congrés
    Accés obert
    In speaker recognition systems based on VQ, normally each speaker is assigned a codebook, and the classification is done by means of the a distortion distance of the utterance computed by means of each codebook. In [1] ...
  • An adaptive gradient-search based algorithm for discriminative training of hmm's 

    Nogueiras Rodríguez, Albino; Mariño Acebal, José Bernardo; Monte Moreno, Enrique (Robert H. Mannel and Jordi Robert-Ribes, 1998)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Although having revealed to be a very powerful tool in acoustic modelling, discriminative training presents a major drawback: the lack of a formulation guaranteeing convergence in no matter which initial conditions, such ...
  • Assessment of the effect of the financial crisis on agents’ expectations through symbolic regression 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-12-16)
    Article
    Accés restringit per política de l'editorial
    Agents’ perceptions on the state of the economy can be affected during economic crises. Tendency surveys are the main source of agents’ expectations. The main objective of this study is to assess the impact of the 2008 ...
  • Biometric applications related to human beings: there is life beyond security 

    Faúndez Zanuy, Marcos; Hussain, Amir; Mekyska, Jiri; Sesa Nogueras, Enric; Monte Moreno, Enrique; Esposito, Anna; Chetouani, Mohamed; Garre Olmo, Josep; Abel, Andrew; Smékal, Zdenek; Lopez-de-Ipina, Karmele (2013-03-01)
    Article
    Accés restringit per política de l'editorial
    The use of biometrics has been successfully applied to security applications for some time. However, the extension of other potential applications with the use of biometric information is a very recent development. ...
  • Classifing stars: a comparison between clasical, genetic and neural network algorithms 

    Hernández Pajares, Manuel; Comellas Padró, Francesc de Paula; Monte Moreno, Enrique (F. MURTAGH AND A. HECK, 1992)
    Text en actes de congrés
    Accés obert
  • Codificación no parametrica de voz basada en redes neuronales sobredimensionadas 

    Hernández Abrego, Gustavo Adolfo; Batlle Mont, Eloi; Antón Haro, Carles; Monte Moreno, Enrique (1997)
    Text en actes de congrés
    Accés obert
  • Combination forecasts of tourism demand with machine learning models 

    Claveria, Oscar; Monte Moreno, Enrique; Torra, Salvador (2015-09-11)
    Article
    Accés restringit per política de l'editorial
    The main objective of this study is to analyse whether the combination of regional predictions generated with machine learning (ML) models leads to improved forecast accuracy. With this aim, we construct one set of forecasts ...
  • Data pre-processing for neural network-based forecasting: does it really matter? 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-11-04)
    Article
    Accés restringit per política de l'editorial
    This study aims to analyze the effects of data pre-processing on the forecasting performance of neural network models. We use three different Artificial Neural Networks techniques to predict tourist demand: multi-layer ...
  • Evolutionary computation for macroeconomic forecasting 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-07)
    Article
    Accés restringit per política de l'editorial
    The main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations. We use evolutionary algorithms ...
  • Extended version. Occurrence of solar flares viewed with GPS: statistics and fractal nature 

    Monte Moreno, Enrique; Hernández Pajares, Manuel (2014-09-05)
    Report de recerca
    Accés restringit per política de l'editorial
    In this paper we describe the statistical properties of the EUV solar flux sudden variation. The solar flux variation is modeled as a time series characterized by the subsolar VTEC (Vertical Total Electron Content) ...
  • Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes 

    Fiz Fernández, José Antonio; Monte Moreno, Enrique; Andreo, Felipe; Auteri, Santiago Jose; Sanz Santos, Jose; Serra Coromina, Pere; Bonet, Gloria; Castella, Eva; Ruiz Manzano, Juan (2014-06-12)
    Article
    Accés obert
    Background: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of ...
  • Generation of multiple hypothesis in connected phonetic-unit recognition by a modified one-stage dynamic programming algorithm 

    Mariño Acebal, José Bernardo; Monte Moreno, Enrique (1989)
    Text en actes de congrés
    Accés obert
    One of the most popular algorithms for connected word (or subword phonetic unit) recognition is the one-stage dynamic programming algorithm. In its available formulation, this algorithm is not designed to provide multiple ...
  • Global prediction of the vertical total electron content of the ionosphere based on GPS data 

    García Rigo, Alberto; Monte Moreno, Enrique; Hernández Pajares, Manuel; Juan Zornoza, José Miguel; Sanz Subirana, Jaume; Aragón Ángel, María Ángeles; Salazar Hernández, Dagoberto José (2011-12-29)
    Article
    Accés obert
    Although vertical total electron content (VTEC) forecasting is still an open subject of research, the use of predictions of the ionospheric state at a scale of several days is an area of increased interest. A global VTEC ...
  • GPS as a solar observational instrument: real-time estimation of EUV photons flux rate during strong, medium, and weak solar flares 

    Singh, Talwinder; Hernández Pajares, Manuel; Monte Moreno, Enrique; García Rigo, Alberto; Olivares Pulido, Germán (2015-12-15)
    Article
    Accés obert
    In this manuscript, the authors show how the Global Navigation Satellite Systems, GNSS (exemplified in the Global Positioning System, GPS), can be efficiently used for a very different purpose from that for which it was ...