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AZNARTE MELLADO, JOSE LUIS

INTELIGENCIA ARTIFICIAL / Universidad Nacional de Educación a Distancia

Publications

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

  • Sherratt, K.
  • Gruson, H.
  • Grah, R.
  • Johnson, H.
  • Niehus, R.
  • Prasse, B.
  • Sandmann, F.
  • Deuschel, J.
  • Wolffram, D.
  • Abbott, S.
  • Ullrich, A.
  • Gibson, G.
  • Ray, E.L.
  • Reich, N.G.
  • Sheldon, D.
  • Wang, Y.
  • Wattanachit, N.
  • Wang, L.
  • Trnka, J.
  • Obozinski, G.
  • Sun, T.
  • Thanou, D.
  • Pottier, L.
  • Krymova, E.
  • Meinke, J.H.
  • Barbarossa, M.V.
  • Leithäuser, N.
  • Mohring, J.
  • Schneider, J.
  • Włazło, J.
  • Fuhrmann, J.
  • Lange, B.
  • Rodiah, I.
  • Baccam, P.
  • Gurung, H.
  • Stage, S.
  • Suchoski, B.
  • Budzinski, J.
  • Walraven, R.
  • Villanueva, I.
  • Tuček, V.
  • Šmíd, M.
  • Zajíček, M.
  • Pérez Álvarez, C.
  • Reina, B.
  • Bosse, N.I.
  • Meakin, S.
  • Castro, L.
  • Fairchild, G.
  • Michaud, I.
  • Osthus, D.
  • Alaimo Di Loro, P.
  • Maruotti, A.
  • Eclerová, V.
  • Kraus, A.
  • Kraus, D.
  • Pribylova, L.
  • Dimitris, B.
  • Li, M.L.
  • Saksham, S.
  • Dehning, J.
  • Mohr, S.
  • Priesemann, V.
  • Redlarski, G.
  • Bejar, B.
  • Ardenghi, G.
  • Parolini, N.
  • Ziarelli, G.
  • Bock, W.
  • Heyder, S.
  • Hotz, T.
  • E. Singh, D.
  • Guzman-Merino, M.
  • Aznarte, J.L.
  • Moriña, D.
  • Alonso, S.
  • Álvarez, E.
  • López, D.
  • Prats, C.
  • Burgard, J.P.
  • Rodloff, A.
  • Zimmermann, T.
  • Kuhlmann, A.
  • Zibert, J.
  • Pennoni, F.
  • Divino, F.
  • Català, M.
  • Lovison, G.
  • Giudici, P.
  • Tarantino, B.
  • Bartolucci, F.
  • Jona Lasinio, G.
  • Mingione, M.
  • Farcomeni, A.
  • Srivastava, A.
  • Montero-Manso, P.
  • Adiga, A.
  • Hurt, B.
  • Lewis, B.
  • Marathe, M.
  • Porebski, P.
  • Venkatramanan, S.
  • Bartczuk, R.
  • Dreger, F.
  • Gambin, A.
  • Gogolewski, K.
  • Gruziel-Słomka, M.
  • Krupa, B.
  • Moszynski, A.
  • Niedzielewski, K.
  • Nowosielski, J.
  • Radwan, M.
  • Rakowski, F.
  • Semeniuk, M.
  • Szczurek, E.
  • Zieliński, J.
  • Kisielewski, J.
  • Pabjan, B.
  • Kheifetz, Y.
  • Kirsten, H.
  • Scholz, M.
  • Biecek, P.
  • Bodych, M.
  • Filinski, M.
  • Idzikowski, R.
  • Krueger, T.
  • Ozanski, T.
  • Bracher, J.
  • Funk, S.
... View more Collapse

eLife - 2023

Editor: eLife Sciences Publications Ltd

10.7554/elife.81916 View at source

  • ISSN/ISBN 2050-084X

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 View at source

  • ISSN/ISBN 1138-2783

Predicciones de tres modelos matemáticos en relación a la estrategia de vacunación frente a la COVID-19 en España. Junio de 2021

  • Olmedo Luceron, Carmen
  • Diez Domingo, Javier
  • Exposito Singh, David
  • Moriña Soler, David
  • Aznarte, Jose Luis
  • Almagro Pedreño, Jose
  • Limia Sanchez, Aurora
... View more Collapse

Revista espanola de salud publica (p. 1-10) - 2/2022

Editor: NLM (Medline)

  • EISSN 2173-9110
  • ISSN 1135-5727
  • ISSN/ISBN 2173-9110

Deep learning classification of tooth scores made by different carnivores: achieving high accuracy when comparing African carnivore taxa and testing the hominin shift in the balance of power

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

Archaeological and Anthropological Sciences - 2021

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/s12520-021-01273-9 View at source

  • ISSN/ISBN 1866-9565

Comparing quantile regression methods for probabilistic forecasting of NO2 pollution levels

  • Vasseur, S.P.
  • Aznarte, J.L.

Scientific Reports - 2021

Editor: Nature Research

10.1038/s41598-021-90063-3 View at source

  • ISSN/ISBN 2045-2322

SOCAIRE: Forecasting and monitoring urban air quality in Madrid

  • de Medrano, R.
  • de Buen Remiro, V.
  • Aznarte, J.L.

Environmental Modelling and Software - 2021

Editor: Elsevier Ltd

10.1016/j.envsoft.2021.105084 View at source

  • ISSN/ISBN 1364-8152

A New Spatio-Temporal Neural Network Approach for Traffic Accident Forecasting

  • de Medrano, R.
  • Aznarte, J.L.

Applied Artificial Intelligence (p. 782-801) - 2021

Editor: Bellwether Publishing, Ltd.

10.1080/08839514.2021.1935588 View at source

  • ISSN/ISBN 1087-6545

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 View at source

  • ISSN/ISBN 1433-3058

Direct assessment of health impacts on hospital admission from traffic intensity in Madrid

  • Navares, R.
  • Diaz, J.
  • Aznarte, J.L.
  • Linares, C.

Environmental Research - 2020

Editor: Academic Press Inc.

10.1016/j.envres.2020.109254 View at source

  • ISSN/ISBN 1096-0953

Consideraciones éticas en torno al uso de tecnologías basadas en datos masivos en la UNED

  • Jose Luis Aznarte Mellado

RIED: revista iberoamericana de educación a distancia (p. 237-252) - 2020

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

10.5944/ried.23.2.26590 View at source

  • ISSN/ISBN 1138-2783

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

Extensión mínima

  • Jose Luis Aznarte Mellado

2007

Editor: Granada : Universidad de Granada, [2007]

  • ISSN/ISBN 978-84-338-4568-9

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 View at source

  • 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 View at source

  • ISSN/ISBN 0924-669X

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 View at source

  • ISSN/ISBN 9783642130243

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 View at source

  • ISSN/ISBN 0218-4885

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 View at source

  • 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 View at source

  • ISSN/ISBN 9780769538723

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 View at source

  • ISSN/ISBN 1611-3349

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

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

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

Reading institution: 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

Reading institution: UNED. Universidad Nacional de Educación a Distancia

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

Reading institution: UNED. Universidad Nacional de Educación a Distancia

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.)
... View more Collapse

2008

Reading institution: Universidad de Granada

This researcher has no patents or software licenses.

Last data update: 9/15/23 10:47 PM