JAVIER MARTÍNEZ TORRES

Associate Professor. Mathematics and Statistics

Oficina de Promoción de I+D

Centro Universitario de la Defensa.

Academia General Militar. Carretera de Huesca s/n, 50090, Zaragoza, España.

Profesor Honorífico en la Universidad de Alcalá

Coordinador del Máster en Técnicas de Ayuda a la Decisión

Cruz al Mérito Militar con Distintivo Blanco (2015)

jmtorres@unizar.es

javier.martinez@uvigo.es

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EDUCATION:

        2006.- Bsc Applied MAthematics. University of Santiago de Compostela.

      2009.- Msc Engineering Mathematics. University of Vigo.

2011.- Phd Environmental Engineering. University of Vigo.

2014.- VII Curso Superior Gestión de Programas (Military Project Management). DGAM, Ministerio de Defensa.

RESEARCH LINES:

        1.- Machine Learning Techniques. Applications and new algorithms.

        2.- Functional Statistics. Outliers Detection and Quality Control.

        3.- Image Processing

 

PUBLICATIONS JCR

  1. E. García-Gonzalo; A. Santos; J. Martínez; H. Pereira; R. Simoes; P. García-Nieto; O. Anjos. Prediction of five softwood paper properties from its density using Spport Vector Machine Regression Techniques. BIORESOURCES, 11 (1), 1892-1904, 2016.
  2. O.Anjos; E. García-Gonzalo; A. Santos; R. Simoes; J. Martínez; H. Pereira; P. García-Nieto. Using apparent density of paper from hardwood kraft to predict sheet properties, based on unsupervised classification and multivariable regression techniques. BIORESOURCES, 10 (3), 5920-5931, 2015.
  3. J. Sancho; C. Iglesias; J. Piñeiro; J. Martínez; J.J. Pastor; M. Araújo; J. Taboada. Study of water quality in a spanish river based on statistical process control and functional data analysis. MATHEMATICAL GEOSCIENCES, (in press), 2015.
  4. A. García; O. Anjos; C. Iglesias; H. Pereira; J. Martínez; J. Taboada. Prediction of a mechanical strength of cork under compression using machine learning techniques. MATERIALS AND DESIGN, 85, pp 304-311 2015.
  5. C. Iglesias; J. Sancho; J.I. Piñeiro; J. Martínez; J. Pastor; J. Taboada. Schewart-type control charts and functional data analysis for water quality analysis based on a global indicator. DESALINATION AND WATER TREATMENT (in press), 2015.
  6. C. Iglesias; O. Anjos; J. Martínez; H. Pereira; J. Taboada. Prediction of tensile properties of cork from its physical properties using neural networks. EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS, 73 (3), pp 347-356, 2015.
  7. O. Anjos; C. Iglesias; F. Peres; J. Martínez; A. García; J. Taboada. Neural Networks Applied to Discriminate Botanical Origin of Honeys. FOOD CHEMISTRY, 175, pp. 128-136. 2015
  8. J.I. Piñeiro; J. Martínez; P.J. García Nieto; J.R. Alonso; C. Díaz; J. Taboada. Analysis and detection of functional outliers in water quality parameters from different automated monitoring stations in the Nalón River Basin (Northern Spain). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 22 (1), pp. 387-396. 2014.
  9. J. Martínez; A. Saavedra; P.J. García-Nieto; J.I. Piñeiro; C. Iglesias, J. Taboada; J. Sancho; J. Pastor. Air Quality Parameters Outliers Detection using Functional Data Analysis in the Langreo Urban Area (Northern Spain). APPLIED MATHEMATICS AND COMPUTATION, 241, pp. 1-10, 2014
  10. J.I. Piñeiro; J. Martínez; I. Pozo; C. Iglesias; L. Cuesta; J. Taboada; P. Gajino; E. Tresaco. Development of an application for quick comparison of pigments from their colorimetric coordinates. DYNA, 81 (184), pp. 49-54. 2014.
  11. J. Martínez; C. Iglesias; J. M. Matías; J. Taboada; M. Araújo. Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach. APPLIED MATHEMATICS AND COMPUTATION, 230, pp. 464-472. 2014.
  12. C. Iglesias; J. Martínez; P.J. García; J. R. Alonso; C. Díaz; J.I. Piñeiro; J. Taboada. Turbidity prediction in a river basin by using artificial neural networks: a case study in northern Spain. WATER RESOURCES MANAGEMENT, 28, pp.319-331. 2014.
  13. J. Sancho; J. Martínez; J.J. Pastor; J. Taboada; J.I. Piñeiro; P.J. García Nieto. New methodology to determine air quality in urban areas based on runs rules for functional data. ATMOSPHERIC ENVIRONMENT, 86, pp. 185-192. 2014 
  14. N. Garijo; J. Martínez; J.M. García-Aznar; M.A. Pérez. Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology. COMPUTER METHODS APPLIED TO MECHANICAL ENGINEERING, 268, pp. 437-450. 2013 
  15. J.I. Piñeiro; J. Martínez; P.J. García; J.R. Alonso; C. Díaz; J. Taboada. Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain). ECOLOGICAL ENGINEERING, 60, pp. 60-66. 2013.
  16. J.R. Alonso; P.J. García; J Martínez; C. Díaz. Analysis of cyanotoxins presence from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) using support vector regression. INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 14(2), pp. 103-112. 2013.
  17. C Ordóñez; R. Argüelles; J Martínez; S. García-Cortés. A mathematical algorithm for dimensional control of tunnels using topographic profiles. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 90 (10), pp. 2072-2078. 2013
  18. J. Martínez; M Lopez; J. Matías; J. TaboadaClassifying Slate Quality using Automated Learning Techniques. MATHEMATICAL AND COMPUTER MODELLING. 57 (7-8), pp. 1716-1721. 2013
  19. C. Ordóñez; J. Martínez; J.F. De Cos; F. Sánchez. Comparison of GPS observations made in a forestry setting using functional data analysis. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 89 - 3, pp. 402 - 408. 2012.
  20. C. Díaz; P.J. García; J.R. Alonso; J. Martínez; J. Taboada. Detection of Outliers in Water Quality Monitoring Samples Using Functional Data Analysis in San Esteban Estuary (Northern Spain). SCIENCE OF THE TOTAL ENVIRONMENT. 439, pp. 54 - 61. 2012.
  21. M. Cilla; J Martínez; E. Peña; M.A. Martínez. Machine Learning Techniques as a Helpful Tool toward Determination of Plaque Vulnerability. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING.59 - 4,pp. 1155 - 1161.2012.
  22. C. Iglesias; J. Martínez; J. Taboada. Metodología de Detección de Microsismología en el Hueco de una Corta Minera Rellena de Agua. DYNA-COLOMBIA . 79 - 175, pp. 81 - 89. 2012.
  23. P.J. García; J. Martínez; A. Araújo; G. Ordóñez. Support Vector Machines and Neural Networks used to Evaluate Paper Manufactured using Eucalyptus Globulus. APPLIED MATHEMATICAL MODELLING. 36-12, pp. 6137 - 6145. 2012. 
  24. P.J. García; J. Martínez; F.J. De Cos; F. Sánchez. Using Multivariate Adaptive Regression Splines and Multilayer Perceptron Networks to Evaluate Paper Manufactured Using Eucalyptus Globulus. APPLIED MATHEMATICS AND COMPUTATION. 219, pp. 755 - 763.2012
  25. C. Ordóñez Galán; J. R. Rodríguez-Pérez; J. Martínez Torres; P. J. García Nieto. Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms. MATHEMATICAL AND COMPUTER MODELLING. 54 - 7-8 , pp. 1829 - 1834. 2011.
  26. J Martínez; P García; L Alejano; A Reyes. Detection of outliers in gas emissions from urban areas using functional data analysis. JOURNAL OF HAZARDOUS MATERIALS. 186, pp. 144 - 149. 2011.
  27. J Martínez; C Ordóñez; J Matías; J Taboada. Determining Noise in an Aggregates Plant Using Functional Statistics. HUMAN AND ECOLOGICAL RISK ASSESSMENT. 17, pp. 521 - 533. 2011.
  28. C Ordóñez; J Martínez; J De Cos; F Sánchez. Determining Vine Leaf Water Stress by Functional Data Analysis. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. 1, pp. 1 - 8. 2011. 
  29. Fj De Cos; P García; J Martínez; J Taboada. Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model. MATHEMATICAL AND COMPUTER MODELLING. 52 - 7-8 , pp. 1177 - 1184. 2010.
  30. M López; J Martínez; J Matías; J Vilán; J Taboada. Application of a Hybrid 3D-2D Laser Scanning System to the Characterization of Slate Slabs. SENSORS. 10, pp. 5949 - 5961. 2010.
  31. C Ordóñez; J Martínez; J Rodríguez-Pérez; A Reyes. Detection of outliers in GPS measurements using functional data analysis. JOURNAL OF SURVEYING ENGINEERING-ASCE. 137 - 4, pp. 150 - 156. 2010.
  32. M López; J Martinez; J Matías; J Vilán; J Taboada. Functional classification of ornamental stone images using machine learning techniques. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. 234 - 4, pp. 1338 - 1345. 2010.
  33. C Ordoñez; J Martínez; J Matías; A Reyes; J Rodríguez. Functional statistical techniques applied to vine leaf water content determination. MATHEMATICAL AND COMPUTER MODELLING. 52 - 7-8 , pp. 1116 - 1122. 2010.
  34. M Araújo; J Martínez; C Ordóñez; J Vilán. Identification of Granite Varieties from Colour Spectrum Data. SENSORS. 10, pp. 8572 - 8584. 2010.
  35. C Ordóñez; J Martínez; A Saavedra; A Mourelle. Intercomparison Exercise for Gases Emitted by a Cement Industry in Spain: a Functional Data Approach. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. 61, pp. 135 - 141. 2010.
  36. M López; J Martínez; J Matías; J Taboada; J Vilán. Shape functional optimization with restrictions boosted with machine learning techniques. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. 234 - 8, pp. 2609 - 2615. 2010.

 

OTHER PUBLICATIONS

  1. J. Sancho, J.J. Pastor, J.Martínez and M.A. García. Variability analyysis by Statistical Control Process and functional Data Analysis. Case of study applied to power system harmonics assesment. KEY ENGINEERING MATERIALS. 615, 118-123. 2014.
  2. J. Sancho, J.J. Pastor, J.Martínez and M.A. García. Evaluation of harmonic variability in electrical power systems trough statistical control of quality and functional data analysis. PROCEDIA ENGINEERING. 63, 295-302. 2013.

BOOKS

  1. J. Martínez; A. Acuña; J.M. Girón; F. del Monte; R. Quintero; D. Ramírez. Biomimesis en los entornos de Defensa y Seguridad. 2014. ISBN 9788494058332.
  2. A. Dena; M.T. Sánchez; J. Martínez. Actas del II Congreso Nacional de I+D en Defensa y Seguridad. 2014. ISBN 9788494058325.
  3. J. Martínez; J. Olmo; M. Rodríguez; S. Vilariño. Introducción a la Estadística. Ejercicios y Prácticas. 2012. ISBN 9788493841157.
  4. J. Martínez; J. Olmo; M. Rodríguez; A. Fiasconaro. Introducción al a Estadística. 2012. ISBN 9788493841140.
  5. J Martínez. Clasificación Automática de Placas de Pizarra. 2011. ISBN 9783846572221.
  6. A. Fiasconaro; J. Martínez; J. Olmo. Elementos de Estadística. Aplicaciones a Ingeniería y Defensa. 2011. ISBN 9788493841119.

 

BOOK CHAPTERS

  1. J.I. Piñeiro; J. Martínez; P.J. García; C. Iglesias; J. Taboada; J. Sancho. Detection of outliers in air quality monitoring samples using functional data analysis in the Langreo urban area (northern Spain). Proceedings of th 2nd International Conference on Wastes. pp. 271-276.  2013. ISSN 2183-0568.
  2. C. Iglesias; J. Martínez; P.J. García; J.R. Alonso; C. Díaz; J.I. Piñeiro; J. Taboada. Study of water quality in the Nalon river basin (NW Spain) from the turbidity estimation using artificial neural networks. Proceedings of th 5th International Conference on Approximation Methods and Numerical Modelling in Enviornment and Natural Resources. pp. 593-603.  2013. ISBN 9788433855237.
  3. S. Val; J. Martínez; R. Acero, P. Pastor; J. Pastor. Stem Curriculum based on Research Results of Research Groups. Proceedings of INTED2013 Conference. 2013. ISBN 9788461626618.
  4. P.J. García; C. Ordóñez; J. Martínez; A. Araújo; E. Giráldez. Study of the influence of forest canopies on the accuracy of GPS measurements by using genetic algorithms. HANDBOOK OF GENETIC ALGORITHMS: NEW RESEARCH. 2012. ISBN 9781620811580.
  5. C Ordóñez; R. Argüelles; J Martínez; S. García-Cortés. Dimensional Control of Tunnels Using Topographic Profiles: A Functional Approach. PROCEEDINGS O THE 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND MATHEMATICAL METHODS IN SCIENCE AND ENGINEERING.pp. 1485 - 1491. 2012. ISBN 9788461553921.
  6. C Ordóñez; J Martínez; Jf De Cos; F Sánchez. Comparison of different classification algorithms for terrestrial laser scanner segmentation. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND MATHEMATICAL METHODS IN SCIENCE AND ENGINEERING.pp. 1543 - 1546. 2011. ISBN 9788461461677.
  7. C Ordóñez; J Martínez; Jf De Cos; F Sánchez. Comparison of GPS observations made in a forestry setting using functional data analysis. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND MATHEMATICAL METHODS IN SCIENCE AND ENGINEERING CMMSE2010.pp. 1199 - 1209. 2010. ISBN 9788461355105.
  8. J Martínez; C Ordóñez; Jm Matías; J Taboada.Determinación del ruido en una planta de tratamiento de áridos mediante la aplicación de técnicas estadísticas funcionales.MINERÍA SOSTENIBLE.pp. 241 - 250. 2009. ISBN 9788469239360.
  9. C Ordóñez; J Martínez; Jf De Cos; F Sánchez. Determining vine leaf water stress by functional data analysis. PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND MATHEMATICAL METHODS IN SCIENCE AND ENGINEERING.pp. 1376 - 1380. 2009. ISBN 9788461297276.

 

INTERNATIONAL CONFERENCE

  1. New Methodology to Determine Water uality in a Spainsh River based on Shewart-Type Control Charts and Functional Data Analysis. GEOENV 10th Conference on Geostatistics for Environmental Applications . Paris (France), 09/07/2014.
  2. Slope Stability Control of a Coal Mine during the filling of the artificial lake. ISRM European Rock Mechanics Symposium (EUROCK 2014). Vigo (Spain), 27/05/2014.
  3. Aplicación de redes neuronales en la determinación de origne botánico de miel a partir de sus propiedades físico-químicas. III Congreso Ibérico de Apicultura. Mirandela (Portugal), 13/04/2014.
  4. Evaluation of Harmonics in Power Systems using Multivariate Statistical Process Control and Process Capability Analysis Methods. Manufacturing Engineering Society International Conference. Zaragoza (Spain), 26/06/2013.
  5. Study of water quality in the Nalón river basin (NW Spain) from the tubidity estimation using artificial neural networks. International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources. Granada (Spain), 22/04/2013.
  6. Stem Curriculum based on Research Results of Research Groups. 7th International Technlogy, Education and Development Conference. Valencia, España. 04/03/2013.
  7. Diferentes técnicas matemáticas para estimar las cargas en el fémur. II Reunión del capítulo español de la Sociedad Europea de Biomecánica. Sevilla, España. 25/10/2012.
  8. DAGSVM Multiclass algorithm based on SVM binary classifiers with 1vsAll approach to the slate tile classification problem. MATHEMATICAL MODELLING IN ENGINEERING & HUMAN BEHAVIOUR 2012. Valencia, España. 09/09/2012.
  9. Atheroma Plaque Vulnerability Prediction Using Machine Learning Techniques. International Congress of Theoretical and Applied Mechanics. Beijing (China), China. 19/08/2012.
  10. Dimensional Control of Tunnels Using Topographic Profiles: A Functional Approach. International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2012). Murcia, España. 02/07/2012.
  11. Classifying slate tile quality using automated learning techniques. Mathematical modelling in Engineering and Human Behaviour. Valencia, España. 06/09/2011.
  12. Comparison of different classification algorithms for terrestrial laser scanner segmentation. International Conference on Computational and Mathematical Methods in Science and Engineering 2011. Benidorm, España. 26/06/2011.
  13. Red Neuronal Artificial para la toma de decisiones en la vulnerabilidad de placa de ateroma. I Reunión del Capítulo Nacional Español de la Sociedad Europea de Biomecánica (ESB). Zaragoza, España. 01/06/2011.
  14. Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms. Modelling for Addictive Behaviour, Medicine and Engineering. Valencia, España. 11/09/2010.
  15. Comparison of GPS observations made in a forestry setting using functional data analysis. International Conference on Computational and Mathematical Methods in Science and Engineering. Almería, España. 30/06/2010.
  16. Slate Characterization using 3D Laser Scanning. International Conference of Computational Methods in sciences and Engineerin. Rhodes, Grecia. 04/10/2009.
  17. Application of functional statistical techniques to detrmine vine leaf water content. Mathematical Models in Medicine, Business & Engineering. Valencia, España. 11/09/2009.
  18. Determining vine leaf water stress by functional data analysis. Computattional and Mathematical Methods in Science and Engineering (CMMSE). Gijón, España. 30/06/2009.
  19. Determinación del ruido en una planta de tratamiento de áridos mediante la aplicación de técnicas estadísticas funcionales. Conferencia Internacional de Minería Sostenible. Santiago de Compostela, España12/05/2009.
  20. Functional classification of ornamental stone images using machine learning techniques. 13th International Congress on Computational and Applied Mathematics. Ghent, Bélgica. 11/07/2008.
  21. Shape functional optimization with restrictions boosted with machine learning techniques. 13th International Congress on Computational and Applied Mathematics. Ghent, Bélgica. 11/07/2008.
  22. Shape functional optimization with restrictions for structural design. Mathematical Inequalities and Applications (MIA 2008). Trogir, Croacia. 08/06/2008.

 

TEACHING

  • 2015-2016: Estadística (Statistics). Centro Unviersitario de la Defensa.
  • 2014-2015: Estadística (Statistics). Centro Unviersitario de la Defensa.
  • 2013-2014: Balística (Ballistics). Centro Universitario de la Defensa.
  • 2012-2013: Matemáticas I (Calculus). Centro Universitario de la Defensa.
  • 2011-2012: Estadística (Statistics). Centro Universitario de la Defensa.
  • 2010-2011: Estadística (Statistics). Centro Universitario de la Defensa.
  • 2009-2010: Estadística (Statistics). University of Vigo.

 

PRÓXIMOS EVENTOS

30 SEP
 
La Noche de los Investigadores Zaragoza 2016
 
14 SEP
 
Apertura del curso 2016-2017 en la Academia General Militar y el Centro Universitario de la Defensa
 
12 SEP
 
Inicio del Curso Avanzado de Ciberdefensa

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