RDF/XML JSON-LD N3/Turtle RDF/JSON

AZNARTE MELLADO, JOSE LUIS

INTELIGENCIA ARTIFICIAL / Universidad Nacional de Educación a Distancia

Actividades

Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study

  • Aznarte, J.L.
  • Siebert, N.

IEEE Transactions on Power Delivery (p. 335-343) - 2017

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/tpwrd.2016.2543818 Ver en origen

  • ISSN/ISBN 0885-8977

The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting

  • Aznarte, J.L.
  • Benítez, J.M.

Intelligent Systems Reference Library (p. 1-30) - 2013

10.1007/978-3-642-33439-9_1 Ver en origen

  • ISSN/ISBN 9783642334382

Predicting the Poaceae pollen season: six month-ahead forecasting and identification of relevant features

  • Navares, R.
  • Aznarte, J.L.

International Journal of Biometeorology (p. 647-656) - 2017

Editor: Springer New York LLC

10.1007/s00484-016-1242-8 Ver en origen

  • ISSN/ISBN 0020-7128

Deep learning improves taphonomic resolution: High accuracy in differentiating tooth marks made by lions and jaguars: Deep learning improves taphonomic resolution: High accuracy in differentiating tooth marks made by lions and jaguars

  • Jiménez-García, B.
  • Aznarte, J.
  • Abellán, N.
  • Baquedano, E.
  • Domínguez-Rodrigo, M.

Journal of the Royal Society Interface - 2020

Editor: Royal Society Publishing

10.1098/rsif.2020.0446rsif20200446 Ver en origen

  • ISSN/ISBN 1742-5662

On the inclusion of spatial information for spatio-temporal neural networks

  • Medrano, R.
  • Aznarte, J.L.

Neural Computing and Applications (p. 14723-14740) - 2021

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/s00521-021-06111-6 Ver en origen

  • ISSN/ISBN 1433-3058

Forecasting hourly NO 2 concentrations by ensembling neural networks and mesoscale models

  • Valput, D.
  • Navares, R.
  • Aznarte, J.L.

Neural Computing and Applications (p. 9331-9342) - 2020

Editor: Springer

10.1007/s00521-019-04442-z Ver en origen

  • ISSN/ISBN 1433-3058

Deep learning architecture to predict daily hospital admissions

  • Navares, R.
  • Aznarte, J.L.

Neural Computing and Applications (p. 16235-16244) - 2020

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/s00521-020-04840-8 Ver en origen

  • ISSN/ISBN 1433-3058

Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks

  • Sevillano, V.
  • Aznarte, J.L.

PLoS ONE - 2018

Editor: Public Library of Science

10.1371/journal.pone.0201807 Ver en origen

  • ISSN/ISBN 1932-6203

Precise automatic classification of 46 different pollen types with convolutional neural networks

  • Sevillano, V.
  • Holt, K.
  • Aznarte, J.L.

PLoS ONE - 2020

Editor: Public Library of Science

10.1371/journal.pone.0229751 Ver en origen

  • ISSN/ISBN 1932-6203

Sobre el uso de tecnologías de reconocimiento facial en la universidad: el caso de la UNED

  • Jose Luis Aznarte Mellado
  • Mariano Melendo Pardos
  • Juan Manuel Lacruz López

RIED: revista iberoamericana de educación a distancia (p. 261-270) - 2022

Editor: AIESAD (Asociación Iberoamericana de Educación Superior a Distancia)

10.5944/ried.25.1.31533 Ver en origen

  • ISSN/ISBN 1138-2783

Extensión mínima

  • Jose Luis Aznarte Mellado

2007

Editor: Granada : Universidad de Granada, [2007]

  • ISSN/ISBN 978-84-338-4568-9

Modelling time series through fuzzy rule-based models: a statiscal approach

  • Jose Luis Aznarte Mellado

2008

Editor: Granada : Editorial de la Universidad de Granada, 2008

  • ISSN/ISBN 978-84-691-7892-8

Avoiding e-protoring, ensuring trust: UNED’s AvEx

  • Jose Luis Aznarte Mellado
  • Ángeles Sánchez-Elvira Paniagua
  • Miguel Santamaría Lancho
  • Llanos Tobarra
  • Jesús G. Boticario

Designing online assessment. Solutions that are rigorous, trusted, flexible and scalable (p. 75-77) - 2022

Editor: European Association of Distance Teaching Universities (EADTU)

Forecasting the Start and End of Pollen Season in Madrid

  • Navares, Ricardo
  • Luis Aznarte, Jose

ADVANCES IN TIME SERIES ANALYSIS AND FORECASTING (p. 387-399) - 2017

Editor: SPRINGER INTERNATIONAL PUBLISHING AG

10.1007/978-3-319-55789-2_27 Ver en origen

  • ISSN/ISBN 978-3-319-55789-2

A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters

  • Aznarte, J.L.
  • Molina, D.
  • Sánchez, A.M.
  • Benítez, J.M.

Applied Intelligence (p. 386-393) - 2011

10.1007/s10489-011-0288-x Ver en origen

  • ISSN/ISBN 0924-669X

Testing for serial independence of the residuals in the framework of fuzzy rule-based time series modeling

  • Aznarte M, J.L.
  • Arauzo, A.
  • Sánchez, J.M.B.

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications (p. 1383-1387) - 2009

10.1109/isda.2009.249 Ver en origen

  • ISSN/ISBN 9780769538723

Empirical study of individual feature evaluators and cutting criteria for feature selection in classification

  • Arauzo-Azofra, A.
  • Aznarte, J.L.M.
  • Benítez, J.M.

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications (p. 541-546) - 2009

10.1109/isda.2009.175 Ver en origen

  • ISSN/ISBN 9780769538723

Testing for remaining autocorrelation of the residuals in the framework of fuzzy rule-based time series modelling

  • Aznarte, J.L.
  • Medeiros, M.C.
  • Benítez, J.M.

International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems (p. 371-387) - 2010

10.1142/s021848851000660x Ver en origen

  • ISSN/ISBN 0218-4885

satDNA analyzer 1.2 as a valuable computing tool for evolutionary analysis of satellite-DNA families: Revisiting Y-linked satellite-DNA sequences of Rumex (Polygonaceae)

  • Navajas-Pérez, R.
  • Rejón, M.R.
  • Garrido-Ramos, M.
  • Aznarte, J.L.
  • Rubio-Escudero, C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 131-139) - 2007

Editor: Springer Verlag

10.1007/978-3-540-71233-6_11 Ver en origen

  • ISSN/ISBN 1611-3349

Testing for heteroskedasticity of the residuals in fuzzy rule-based models

  • Aznarte M., J.L.
  • Benítez, J.M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 239-246) - 2010

10.1007/978-3-642-13025-0_26 Ver en origen

  • ISSN/ISBN 9783642130243

Neuro-fuzzy prediction of airborne pollen concentrations

  • Aznarte M., J.L.
  • Lugilde, D.N.
  • Benítez, J.M.
  • De Linares Fernández, C.

Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference (p. 1325-1330) - 2005

  • ISSN/ISBN 9788476538722

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Modelling time series through fuzzy rule-based models: a statistical approach

  • Jose Luis Aznarte Mellado
  • José Manuel Benítez Sánchez (dir. tes.)
  • Francisco Herrera Triguero (pres.)
  • Francesco Marcelloni (voc.)
  • Marcelo C, Medeiros (voc.)
  • Óscar Cordón García (secr.)
  • G.I. Sáinz (voc.)
... Ver más Contraer

2008

Defensa realizada en: Universidad de Granada

Deep Neural Architectures and Time Series: A scalable system for air quality prediction and its application

  • Ricardo Navares Echegaray
  • Jose Luis Aznarte Mellado (dir. tes.)
  • Francisco Javier Díez Vega (pres.)
  • Francisco Martínez Álvarez (secr.)
  • Héctor Pomares Cintas (voc.)

2020

Defensa realizada en: UNED. Universidad Nacional de Educación a Distancia

Reconocimiento y clasificación automatizada de especies de polen alergénicas

  • Ramón Gallardo Caballero
  • Carlos Javier García Orellana (dir. tes.)
  • Antonio García Manso (dir. tes.)
  • Miguel Macías Macías (pres.)
  • Jose Luis Aznarte Mellado (secr.)
  • Francisco Luna Valero (voc.)

2021

Defensa realizada en: Universidad de Extremadura

Spatio-temporal neural models for sustainable mobility and air quality

  • Rodrigo de Medrano López
  • Jose Luis Aznarte Mellado (dir. tes.)
  • Luis Manuel Sarro (pres.)
  • Cristina Rubio Escudero (secr.)
  • Juan Gómez Romero (voc.)

2021

Defensa realizada en: UNED. Universidad Nacional de Educación a Distancia

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 15/09/23 22:47