Año: 2009 (4)


• P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero-Ruz y J.C. Fernández. "Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks", Neurocomputing, Vol. 72(13-15). 2009, pp. 2731-2742. JCR (2009): 1.440 Position: 47/103 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. García-Alonso, J. Guardiola y C. Hervás-Martínez. "Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households", European Journal of Operational Research, Vol. 195(2). 2009, pp. 543-551. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez, C. Hervás-Martínez y C. García-Alonso. "Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector", Expert Systems with Applications, Vol. 36(10). 2009, pp. 12225-12235. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, M. Jurado-Expósito, J. Peña-Barragán y F. López-Granados. "Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data", Neural Network World, Vol. 19(1). 2009, pp. 3-20. JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2008 (7)

• C. Hervás-Martínez, F.J. Martínez-Estudillo y M. Carbonero-Ruz. "Multilogistic Regression by means of Evolutionary Product-Unit Neural Networks", Neural Networks, Vol. 21(7). 2008, pp. 951-961. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• F.J. Martínez-Estudillo, C. Hervás-Martínez, P.A. Gutiérrez y A.C. Martínez-Estudillo. "Evolutionary Product-Unit Neural Networks Classifiers", Neurocomputing, Vol. 72(1-3). 2008, pp. 548-561. JCR (2008): 1.234 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 53/94, Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• D. Ortiz-Boyer, C. Hervás-Martínez y N. García-Pedrajas. "Robust confidence intervals applied to crossover operator for real-coded genetic algorithms", Soft Computing, Vol. 12(8). 2008, pp. 809-833. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• S. Ventura, C. Romero, A. Zafra, J.A. Delgado y C. Hervás-Martínez. "JCLEC: A Java Framework for Evolutionary Computing", Soft Computing, Vol. 12(4). 2008, pp. 381-392. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, M. Silva, P.A. Gutiérrez y A. Serrano. "Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters", Chemometrics and Intelligent Laboratory Systems, Vol. 92(2). 2008, pp. 179-185. JCR (2008): 1.940 (category STATISTICS & PROBABILITY, position 11/92 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, F. López-Granados, J. Peña Barragán, M. Jurado-Expósito y C. Hervás-Martínez. "Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data", Computers and Electronics in Agriculture, Vol. 64(2). 2008, pp. 293-306. JCR (2008): 1.273 (category AGRICULTURE, MULTIDISCIPLINARY, position 8/35 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, F. López-Granados, J. Peña-Barragán, M. Jurado-Expósito, M.T. Gómez-Casero y C. Hervás-Martínez. "Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying Evolutionary Product Unit Neural Networks to remote sensed data", Computers and Electronics in Agriculture, Vol. 60(2). 2008, pp. 122-132. JCR (2008): 1.273 (category AGRICULTURE, MULTIDISCIPLINARY, position 8/35 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2007 (7)

• D. Ortiz-Boyer, C. Hervás-Martínez y N. García. "Improving crossover operator for real-coded genetic algorithms using virtual parents", Journal of Heuristics, Vol. 13. 2007, pp. 265-314. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez y F.J. Martínez-Estudillo. "Logistic Regression using covariates obtained by Product Unit Neural Networks models", Pattern Recognition, Vol. 40(1). 2007, pp. 52-64. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez y M. Silva. "Memetic Algorithm Based Artificial Multiplicative Neural Model Selection for Resolving Multi-Component Mixtures Based On Dynamic Responses", Chemometics and Intelligent Laboratory Systems, Vol. 85(2). 2007, pp. 232-242. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, P.A. Gutiérrez, M. Silva y J.M. Serrano. "Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks", Journal of Chemometrics, Vol. 21(12). 2007, pp. 567-577. JCR (2007): 1.367 (category AUTOMATION & CONTROL SYSTEMS, position 9/52, Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• A. Valero, C. Hervás-Martínez, G. Zurera y R.M. García. "Product unit neural network models for predicting the growth limits of Listeria monocytogenes", Food Microbiology, Vol. 24(5). 2007, pp. 452-464. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• A. Valero, C. Hervás-Martínez, R.M. García y G. Zurera. "Searching for new mathematical growth model approaches for Listeria monocytogenes", Journal of Food Science, Vol. 72(1). 2007, pp. 16-25. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, R.M. Jimeno, A.C. Martínez-Estudillo, F. Fernandez-Navarro y G.Z. Cosano. "Improving Microbial Growth Prediction by Product Unit Neural Network", Journal of Food Science, Vol. 71(2). 2007, pp. 31-38. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2006 (5)

• A.C. Martínez-Estudillo, C. Hervás-Martínez, F.J. Martínez-Estudillo y N. Garcia. "Hybridation of evolutionary algorithms and local search by means of a clustering method", IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 36(3). 2006, pp. 534-546. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• N. García, D. Ortiz-Boyer y C. Hervás-Martínez. "An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization", Neural Network, Vol. 19(4). 2006, pp. 514-528. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• A.C. Martínez-Estudillo, F.J. Martínez-Estudillo, C. Hervás-Martínez y N. Garcia. "Evolutionary Product Unit based Neural Networks for Regression", Neural Networks, Vol. 19(4). 2006, pp. 477-486. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• P.G. Espejo, C. Hervás-Martínez, S. Ventura y C. Romero. "Elección de Operadores Lógicos para la Inducción de Conocimiento Comprensible", Revista Iberoamericana de Inteligencia Artificial, Vol. 10(29). 2006, pp. 19-30. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• G. Zurera-Cosano, R.M. Jimeno, R. Rodriguez-Pérez y C. Hervás-Martínez. "Performance of Response Surface model for prediction of Leuconostoc mesenteroides growth parameters under different experimental conditions", Food Control, Vol. 17. 2006, pp. 429-438. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2005 (5)

• N. García, C. Hervás-Martínez y D. Ortiz-Boyer. "Cooperative coevolution of artificial neural network ensembles for pattern classification", IEEE Transactions on Evolutionary Computation, Vol. 9(3). 2005, pp. 271-302. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• D. Ortiz-Boyer, C. Hervás-Martínez y N. García. "CIXL2: a crossover operator for evolutionary algorithms based on population features", Journal of Artificial Intelligence Research, Vol. 24. 2005, pp. 1-48. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez y D. Ortiz-Boyer. "Analyzing the statistical features of CIXL2 crossover offspring", Soft Computing, Vol. 9(4). 2005, pp. 270-279. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, A.C. Martínez-Estudillo, M. Silva y J.M. Serrano. "Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm", Journal of Chemical Information and Modeling, Vol. 45(4). 2005, pp. 894-903. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez, C. Hervás-Martínez y F. Amador. "Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms", Computers and Operations Research, Vol. 32(10). 2005, pp. 2653-2670. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Sin año (1)

• J.-. Alvarez-Galvez, M.L. Rodero-Cosano, C. García-Alonso, J.A. Salinas-Pérez y L. Salvador-Carulla. "The impact of socio-economic status on self-rated health: study of 29 countries using European social surveys (2002–2008).", International journal of environmental research and public health, Vol. 10(3), pp. 747-761. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]