José Luis Aznarte

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 13

Top Topics

Financial Time Series Forecasting

Top Venues

Neural Comput. Appl.

Ecol. Informatics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Rodrigo de Medrano, José Luis Aznarte
A New Spatio-Temporal Neural Network Approach for Traffic Accident Forecasting. Appl. Artif. Intell. 35 (10) (2021)
Rodrigo de Medrano, José Luis Aznarte
On the inclusion of spatial information for spatio-temporal neural networks. Neural Comput. Appl. 33 (21) (2021)
Rodrigo de Medrano, Víctor de Buen Remiro, José Luis Aznarte
SOCAIRE: Forecasting and monitoring urban air quality in Madrid. Environ. Model. Softw. 143 (2021)
Rodrigo de Medrano, Víctor de Buen Remiro, José Luis Aznarte
SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid. CoRR (2020)
Rodrigo de Medrano, José Luis Aznarte
A Spatio-Temporal Spot-Forecasting Framework forUrban Traffic Prediction. CoRR (2020)
María Vega García, José Luis Aznarte
forecasting. Ecol. Informatics 56 (2020)
Sebastián Pérez Vasseur, José Luis Aznarte
episodes: a comparison of models. CoRR (2020)
Damir Valput, Ricardo Navares, José Luis Aznarte
Forecasting hourly ${\hbox {NO}_{2}}$ concentrations by ensembling neural networks and mesoscale models. Neural Comput. Appl. 32 (13) (2020)
Rodrigo de Medrano, José Luis Aznarte
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks. CoRR (2020)
Ricardo Navares, José Luis Aznarte
Deep learning architecture to predict daily hospital admissions. Neural Comput. Appl. 32 (20) (2020)
Ricardo Navares, José Luis Aznarte
Predicting air quality with deep learning LSTM: Towards comprehensive models. Ecol. Informatics 55 (2020)
Rodrigo de Medrano, José Luis Aznarte
A spatio-temporal attention-based spot-forecasting framework for urban traffic prediction. Appl. Soft Comput. 96 (2020)
Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. Comput. Geosci. 115 (2018)
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
José Luis Aznarte, Jesús Alcalá-Fdez, Antonio Arauzo-Azofra, José Manuel Benítez
Financial time series forecasting with a bio-inspired fuzzy model. Expert Syst. Appl. 39 (16) (2012)
José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters. Appl. Intell. 34 (3) (2011)
Antonio Arauzo-Azofra, José Luis Aznarte, José Manuel Benítez
Empirical study of feature selection methods based on individual feature evaluation for classification problems. Expert Syst. Appl. 38 (7) (2011)
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
Linearity testing for fuzzy rule-based models. Fuzzy Sets Syst. 161 (13) (2010)
José Luis Aznarte, José Manuel Benítez
Equivalences between neural-autoregressive time series models and fuzzy systems. IEEE Trans. Neural Networks 21 (9) (2010)
José Luis Aznarte, José Manuel Benítez
Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models. IEA/AIE (2) (2010)
José Luis Aznarte, Marcelo C. Medeiros, José Manuel Benítez
Testing for Remaining Autocorrelation of the residuals in the Framework of Fuzzy Rule-Based Time Series Modelling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18 (4) (2010)
Rafael Navajas-Pérez, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos, José Luis Aznarte, Cristina Rubio-Escudero
(Polygonaceae). BIRD (2007)
Rafael Navajas-Pérez, Cristina Rubio-Escudero, José Luis Aznarte, Manuel Ruiz Rejón, Manuel A. Garrido-Ramos
SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis. Bioinform. 23 (6) (2007)
José Luis Aznarte, José Manuel Benítez, Juan Luis Castro
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. Fuzzy Sets Syst. 158 (24) (2007)
José Luis Aznarte, José Manuel Benítez Sánchez, Diego Nieto Lugilde, Concepción de Linares Fernández, Consuelo Díaz de la Guardia, Francisca Alba Sánchez
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Syst. Appl. 32 (4) (2007)
José Luis Aznarte, José Manuel Benítez
On the Identifiability of TSK Additive Fuzzy Rule-Based Models. SMPS (2006)
José Luis Aznarte, Diego Nieto Lugilde, José Manuel Benítez, Concepción de Linares Fernández
Neuro-Fuzzy prediction of airborne pollen concentrations. EUSFLAT Conf. (2005)