Exploració per autor "Monte Moreno, Enrique"
Ara es mostren els items 61-80 de 139
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Let the data do the talking: empirical modelling of survey-based expectations by means of genetic programming
Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-07-05)
Report de recerca
Accés obertIn this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ... -
Looking for efficient and accurate ways of computing the global ionospheric electron density distribution from huge amounts of GNSS observations
Hernández Pajares, Manuel; Juan Zornoza, José Miguel; Sanz Subirana, Jaume; Monte Moreno, Enrique; Aragón Ángel, María Ángeles (2011)
Presentació
Accés obertIn this work the authors will explore different potential ways of estimating efficiently and accurately the global number density of ionospheric free electrons from the most part of nowadays available GNSS ... -
Method for forecasting ionospheric electron content fluctuations based on the optical flow algorithm
Monte Moreno, Enrique; Hernández Pajares, Manuel; Yang, Heng; García Rigo, Alberto; Jin, Yaqi; Høeg, Per; Miloch, Wojciech J.; Wielgosz, Pawel; Jarmolowski, Wojciech; Paziewski, Jacek; Milanowska, Beata; Hoque, Mainul; Orús Pérez, Raul (2022-01-01)
Article
Accés obertWe present the optical flow algorithm for forecasting the rate of total electron content index (OFROTI). It consists of a method for predicting maps of rapid fluctuations of ionospheric electron content in terms of global ... -
Modelado de la trayectoria de los polos en la secuencia de LPC
Freitag, Fèlix; Monte Moreno, Enrique; Hernando Pericás, Francisco Javier (Universidad de Valladolid, 1995)
Text en actes de congrés
Accés obertA alternative way of representing time variations of the speech spectra is presented. We propose to model the trajectories of the poles of the LPC analysis spectra using exponential functions as alternative to delta ... -
Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-08-16)
Article
Accés obertThis study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and ... -
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection
Claveria, Oscar; Torra Porras, Salvador; Monte Moreno, Enrique (2016-12-01)
Article
Accés obertThis study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recastaccuracy of Support Vector Regression (SVR) to Neural Network (NN) ... -
Modelos de Markon y cuantificacion vectorial por medio de redes de Kohoen
Monte Moreno, Enrique; Mariño Acebal, José Bernardo (1991)
Text en actes de congrés
Accés obertIn this paper we present a speech recogmuon system based on Hidden Markov Models, which uses as a quantifier a fonotropic map. This kind of arquitecture has been used for tasks like discriminating the phonemes of the ... -
Multi-camera multi-object voxel-based Monte Carlo 3D tracking strategies
Canton Ferrer, Cristian; Casas Pla, Josep Ramon; Pardàs Feliu, Montse; Monte Moreno, Enrique (HINDAWI, 2011-11-23)
Article
Accés obertThis article presents a new approach to the problem of simultaneous tracking of several people in low-resolution sequences from multiple calibrated cameras. Redundancy among cameras is exploited to generate a discrete 3D ... -
Multi-TID detection and characterization in a dense Global Navigation Satellite System receiver network
Yang, Heng; Monte Moreno, Enrique; Hernández Pajares, Manuel (2017-09-01)
Article
Accés obertThe medium-scale traveling ionospheric disturbances (MSTIDs) constitute the most frequent ionospheric wave signatures. We propose a method for detecting the number of simultaneous MSTIDs from a time series of high-pass-filtered ... -
Multiple-input multiple-output vs. single-input single-output neural network forecasting
Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-07-09)
Report de recerca
Accés obertThis study attempts to improve the forecasting accuracy of tourism demand by using the existing common trends in tourist arrivals form all visitor markets to a specific destination in a multiple-input multiple-output (MIMO) ... -
Neural networks principal component analysis for estimating the generative multifactor model of returns under a statistical approach to the arbitrage pricing theory: Evidence from the mexican stock exchange
Ladrón de Guevara Cortés, Rogelio; Torra Porras, Salvador; Monte Moreno, Enrique (2019-01-01)
Article
Accés obertA nonlinear principal component analysis (NLPCA) represents an extension of the standard principal component analysis (PCA) that overcomes the limitation of the PCA’s assumption about the linearity of the model. The NLPCA ... -
New Backpropagation Algorithm Using Quadratic Potential Functions, and an Experiment on Isolated Word Recognition
Monte Moreno, Enrique; Lleida Solano, Eduardo; Mariño Acebal, José Bernardo (1989)
Text en actes de congrés
Accés obertThis paper presents a new algorithm to train multilayered perceptrons, using quadratical potential functions. This new algorithm is compared in an isolated word recognition task, with the back propagation algorithm that ... -
Non parametric coding of speech by means of a MLP with hints
Hernández, G; Monte Moreno, Enrique; Mariño Acebal, José Bernardo (Springer, 1997)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper presents a non parametric compression system which makes use of the fact that a MLP has an internal representation of the data in the hidden layer. The system that we present makes a compression by using 4 or 8 ... -
Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques
Monte Moreno, Enrique (2011-10)
Article
Accés restringit per política de l'editorialObjective: This work presents a system for a simultaneous non-invasive estimate of the blood glucose level (BGL) and the systolic (SBP) and diastolic (DBP) blood pressure, using a photoplethysmograph (PPG) and machine ... -
Nowcasting and forecasting GDP growth with machine-learning sentiment indicators
Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2021-02-17)
Report de recerca
Accés obertWe apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country-specific sentiment indicators that provide estimates of year-on-year GDP growth rates. In the first step, by means of ... -
Occurrence of solar flares viewed with GPS: statistics and fractal nature
Monte Moreno, Enrique; Hernández Pajares, Manuel (2014-11-01)
Article
Accés restringit per política de l'editorialIn 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 Vertical Total Electron Content double difference ... -
On the use of the derivative of pole trajectories of the LPC analysis parameter sequence as an alternative to delta parameters
Freitag, Fèlix; Monte Moreno, Enrique; Hernando Pericás, Francisco Javier (1995)
Text en actes de congrés
Accés obertIn this paper a new approach for modelling time variations in the speech spectra is presented. We propose to approximate the trajectories of the frequency and amplitude of the poles of the LPC spectra with exponential ... -
On the use of the derivative of the pole trajectories of the LPC analysis parameter sequence as an alternative to delta parameters
Freitag, Fèlix; Monte Moreno, Enrique; Hernando Pericás, Francisco Javier (ESCA - J.M. PARDO, E. ENRIQUEZ, J. ORTEGA, J. FERREIROS GTM-UPM, 1995)
Text en actes de congrés
Accés obertIn this paper a new approach for modelling time variations in the speech spectra is presented. We propose to approximate the trajectories of the frequency and amplitude of the poles of the LPC spectra with exponential ... -
Optimización de los parámetros de un hmm mediante entrenamiento discriminativo
Esteban, F J; Monte Moreno, Enrique (SERVICIO DE PUBLICACIONES. ETSI TELECOMUNICACIÓN UPM, 1996)
Text en actes de congrés
Accés obert -
Optimization of speech parameter weighting for CDHMM word recognition
Hernando Pericás, Francisco Javier; Ayarte, J; Monte Moreno, Enrique (1995)
Text en actes de congrés
Accés obertSpeech dynamic feature are routinely used in current speech recognition systems in combination with short-term (static) spectral features. The aim of this paper is to propose a method to automatically estimate the optimum ...