.: Marcos Gestal :.     -----
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 Algo he aprendido en mi larga vida:
que toda nuestra ciencia, contrastada con la realidad, es primitiva y pueril;
y, sin embargo, es lo más valioso que tenemos.
Albert Einstein

Gran parte del trabajo de un investigador es mantener su CV actualizado en múltiples sitios y en múltiples formatos :) He aquí algunos de esos sitios...


En mi Curriculum podrás encontrar información acerca de las publicaciones derivadas a partir de los trabajos realizados en estas y otras áreas. Puedes descargarlo directamente en PDF o bien consultar desde esta página una selección de publicaciones.

cvCV CV CicytCICYT CV CicytCVN CV CicytCVA

.: Revistas :. .: Libros :. .: Capítulos Libro :. .: Congresos :. .: Todo :.

Artículos en Revistas Especializadas

  1. Diego Valcarce, Alberto Alvarellos, Juan Ramón Rabuñal, Julián Dorado, Marcos Gestal. Machine Learning-Based Radon Monitoring System. Chemosensors. ISSN 2227-9040, pp. 1-12. MDPI. Junio 2022. (Factor Impacto: 4.229 - Q1)
  2. Cristian Robert Munteanu, Pablo Gutiérrez, M. Blanes-Rodríguez, Ismael Hidalgo-Delgado, María de Jesús Blanco, Brais Castiñeiras, Ana Belén Porto, Marcos Gestal, S. Arrasate, Humberto González-Díaz. Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning. International Journal of Molecular Sciences. ISSN 1422-0067, pp. 1-12. MDPI. Basel (Suiza). Octubre 2021. (Factor Impacto: 5.924 - Q1)
  3. Ángel Rico, Juan Ramón Rabuñal, Marcos Gestal, Omar A., Jerónimo Puertas. An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks. Water. ISSN 2073-4441, vol. 12, 3013, pp. 1-20. MDPI. Octubre 2020. (Factor Impacto: 2.544 - Q2)
  4. Martiño Rivera, Marcos Gestal, José Manuel Vázquez. Implementing a Web Application for W3C WebAuthn Protocol Testing. Proceedings. ISSN 2504-3900, pp. 1-3. MDPI. Agosto 2020.
  5. Diana V. Urista, Diego B. Carrué, Iago Otero, S. Arrasate, Viviana Quevedo-Tumailli, Marcos Gestal, Humberto González-Díaz, Cristian Robert Munteanu. Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models. Biology. ISSN 2079-7737, pp. 1-15. MDPI. Basel (Suiza). Julio 2020. (Factor Impacto: 3.796 - Q1)
  6. Enrique Barreiro, Cristian Robert Munteanu, Marcos Gestal, Juan Ramón Rabuñal, Alejandro Pazos, Humberto González-Díaz, Julián Dorado. Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction. Applied Sciences. ISSN 2076-3417, vol. 10(2) - 1308, pp. 1-13. MDPI. Basel (Suiza). Febrero 2020. (Factor Impacto: 2.474 - Q2)
  7. Alberto Alvarellos, Marcos Gestal, Julián Dorado, Juan Ramón Rabuñal. Developing a secure low-cost radon control system. Sensors. ISSN 1424-8220, pp. 1-18. MDPI. Basel (Suiza). Enero 2020. (Factor Impacto: 3.275 - Q1)
  8. Cristian Robert Munteanu, Marcos Gestal, Yunuen G. Martínez-Acevedo, Nieves Pedreira, Alejandro Pazos, Julián Dorado. Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning. International Journal of Molecular Science. ISSN 1422-0067, vol. 20(18), pp. 1-10. MDPI. Septiembre 2019. (Factor Impacto: 4.556 - Q1)
  9. Carlos Fernandez-Lozano, Marcos Gestal, Cristian Robert Munteanu, Julián Dorado, Alejandro Pazos. A methodology for the design of experiments in computational intelligence with multiple regression models. PeerJ. ISSN 2376-5992, pp. 1-22Londres (UK). Diciembre 2016. (Factor Impacto: 2.183 - Q2)
  10. Carlos Fernandez-Lozano, Francisco Abel Cedrón, Daniel Rivero, Julián Dorado, José Manuel Andrade, Alejandro Pazos, Marcos Gestal. Using Genetic Algorithms to improve Support Vector Regression in the analysis of Atomic spectra of Lubricant Oils. Engineering Computations. ISSN 0264-4401, vol. 33(4), pp. 995-1005. Emerald Group Publishing Limited. Bingley (UK). Mayo 2016. (Factor Impacto: 1.495 - Q3)
  11. Carlos Fernandez-Lozano, José Antonio Seoane, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Alejandro Pazos, Colin Campbell. Texture analysis in gel electrophoresis images using an integrative kernel-based approach. Scientific Reports. , pp. 1-13. Nature Publishing Group. Enero 2016. (Factor Impacto: 5.578 - Q1)
  12. Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian Robert Munteanu, Julián Dorado. A hybrid Evolutionary System for automated Artificial Neural Networks generation and simplification in biomedical applications. Current Bioinformatics. ISSN 1574-8936, vol. 10 (5), pp. 672-691. Bentham Science Publ. LTD. Noviembre 2015. (Factor Impacto: 0.921 - Q4)
  13. Carlos Fernandez-Lozano, José Antonio Seoane, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Colin Campbell. Texture classification using feature selection and kernel-based techniques. Soft Computing. ISSN 1432-7643, vol. Vol 19(9), pp. 2469-2480. Springer-Verlang. Berlín. Septiembre 2015. (Factor Impacto: 1.304 - Q2)
  14. Marcos Gestal, José Manuel Vázquez, Enrique Fernández-Blanco, Daniel Rivero, Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos. Example-Based Learning: Development of Business Applications with .NET Technologies. Revista Digital de Investigación en Docencia Universitaria. ISSN 2223-2516, vol. Vol. 9 (1), pp. 77-99. Indexado en LATINDEX. Lima (Perú) . Julio 2015.
  15. Carlos Fernandez-Lozano, Marcos Gestal, Humberto González-Díaz, Julián Dorado, Alejandro Pazos, Cristian Robert Munteanu. Markov Mean Properties for Cell Death-Related Protein Classification. Journal of Theoretical Biology. ISSN 0022-5193, vol. 349, pp. 12-21. Elsevier. EE.UU.. Mayo 2014. (Factor Impacto: 2.303 - Q1)
  16. Carlos Fernandez-Lozano, Enrique Fernández-Blanco, Kirtan Dave, Nieves Pedreira, Marcos Gestal, Julián Dorado, Cristian Robert Munteanu. Improving Enzyme Regulatory Protein Classification by means of SVM-RFE Feature Selection. Molecular BioSystems. ISSN 1742-206X, vol. 10, pp. 1063-1071. RSC Publishing. Enero 2014. (Factor Impacto: 3.210 - 2)
  17. Carlos Fernandez-Lozano, Cristina Canto, Marcos Gestal, José Manuel Andrade, Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos. Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification. The Scientific World Journal. Issue: Recent Advances on Bioinspired Computation. ISSN 1537-744X, vol. 2013. ID 982438, pp. 1-13. Hindawi Publishing Corporation. EE.UU.. Diciembre 2013. (Factor Impacto: 1.219 - Q2)
  18. Carlos Fernandez-Lozano, Marcos Gestal, Nieves Pedreira, Julián Dorado, Alejandro Pazos. High Order Texture-Based Analysis in Biomedical Images. Current Medical Imaging Reviews. ISSN 1573-4056, vol. Vol 9 (4), pp. 309-317. Bentham Science Publishers. Diciembre 2013. (Factor Impacto: 1.059 - 4)
  19. Carlos Fernandez-Lozano, Marcos Gestal, Nieves Pedreira, Lucian Postelnicu, Julián Dorado, Cristian Robert Munteanu. Kernel-based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices. Current Topics in Medicinal Chemistry. ISSN 1568-0266, vol. 13(14), pp. 1681-1691. Bentham Science Publishers. Julio 2013. (Factor Impacto: 3.453 - Q1)
  20. Daniel Rivero, Vanessa Aguiar, Enrique Fernández-Blanco, Marcos Gestal. Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. International Journal of Data Mining, Modelling and Management. ISSN 1759-1163, vol. 5, pp. 182-191. Inderscience Publishers. Mayo 2013.
  21. Vanessa Aguiar, Marcos Gestal, Maykel Cruz-Monteagudo, Juan Ramón Rabuñal, Julián Dorado, Cristian Robert Munteanu. Evolutionary Computation and QSAR Research. Current Computer-Aided Drug Design . ISSN 1573-4099, vol. 9(2), pp. 206-225. Bentham Science Publishers. Arabia Saudí. Mayo 2013. (Factor Impacto: 1.942 - Q1)
  22. Vanessa Aguiar, Marcos Gestal, Carlos Fernandez-Lozano, Daniel Rivero, Cristian Robert Munteanu. Applied Computational Techniques on Schizophrenia using genetic mutations. Current Topics in Medicinal Chemistry. ISSN 1568-0266, vol. 13 (5), pp. 675-684. Bentham Science Publishers. Abril 2013. (Factor Impacto: 3.453 - Q1)
  23. Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julián Dorado. Classification of signals by means of Genetic Programming. Soft Computing. ISSN 1432-7643, vol. Vol. 17, Issue 10, pp. 1929-1937. Springer. United States. Marzo 2013. (Factor Impacto: 1.304 - Q2)
  24. Vanessa Aguiar, José Antonio Seoane, Marcos Gestal, Julián Dorado. Exploring patterns of epigenetic information with data mining techniques. Current Pharmaceutical Design. Special Issue: Epigenetic and metabolic drug target for anticancer therapy. ISSN 1381-6128, pp. 779-789. Bentham Science Publishers. Febrero 2013. (Factor Impacto: 3.288 - Q1)
  25. Pablo Seoane, Marcos Gestal, Julián Dorado. Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey. International Journal of Interactive Multimedia and Artificial Intelligence. ISSN 1989-1660, vol. 1, pp. 6-13. Open Access Journal. Junio 2012.
  26. Alba Cabarcos, Marcos Gestal, Daniel Rivero, Julián Dorado, Alejandro Pazos. Improving Personal Health Record systems using ontologies: Retrieving context-sensitive information. Journal on Computing. ISSN 210-2283, vol. Vol 2 Number 2, pp. 15-21. Global Science and Technology Forum (GSTF). Singapore. Junio 2012.
  27. Humberto González-Díaz, Cristian Robert Munteanu, Lucian Postelnicu, Francisco Prado-Prado, Marcos Gestal, Alejandro Pazos. LIBP-Pred: Web Server for Lipid Binding Proteins using Structural Network Parameters; PDB Mining of Human Cancer Biomarkers and Drug Targets in Parasites and Bacteria. Molecular BioSystems. ISSN 1742-206X. RSC Publishing. Cambrigde (Reino Unido). Enero 2012. (Factor Impacto: 3.350 - Q2)
  28. Mari Paz Gómez, Marcos Gestal, Julián Dorado, José Manuel Andrade. Chemically driven variable selection by focused multimodal genetic algorithms in mid-IR spectra. Analytical and Bioanalytical Chemistry. ISSN 1618-2642, vol. 389-Nº7-8, pp. 2331-2342. Springer-Verlag. Diciembre 2007. (Factor Impacto: 2.867 - Q1)
  29. Enrique Fernández-Blanco, Julián Dorado, Juan Ramón Rabuñal, Marcos Gestal, Nieves Pedreira. A Computational Morphogenesis Approach to Simple Structure Development. Lecture Notes in Artificial Intelligence. ISSN 0302-9743, vol. LNAI 4648, pp. 825-834. Springer. Berlin Heidelberg (Germany). Julio 2007.
  30. Mari Paz Gómez, Marcos Gestal, Julián Dorado, José Manuel Andrade. Linking chemical knowledge and genetic algorithms using two populations and focused multimodal search. Chemometrics and intelligent laboratory systems. ISSN 0169-7439, vol. 87, pp. 173-184. ELSEVIER. Junio 2007. (Factor Impacto: 2.063 - Q1)
  31. Daniel Rivero, Julián Dorado, Juan Ramón Rabuñal, Marcos Gestal. A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. Lecture Notes in Computer Science. Computational and Ambient Intelligence . ISSN 0302-9743, vol. LNCS 4507, pp. 94-101. Springer-Verlag. Heidelberg, Berlin. Junio 2007. (Factor Impacto: 0.402)
  32. Enrique Fernández-Blanco, Julián Dorado, Juan Ramón Rabuñal, Marcos Gestal, Nieves Pedreira. A New Evolutionary Computation Technique for 2D Morphogenesis and Information Processing. WSEAS Transactions on Information Science & Applications. ISSN 1790-0832, vol. 4, Issue 3, pp. 600-607. WSEAS Press. Athens (Grecia). Marzo 2007.
  33. Juan Ramón Rabuñal, Julián Dorado, Marcos Gestal, Nieves Pedreira. Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development. Lecture Notes in Computer Science. Computacional Intelligence and Bioinspired System. ISSN 0302-9743, vol. LNCS 3512, pp. 382-390. Springer-Verlag. Berlin (Alemania). Junio 2005. (Factor Impacto: 0.513)
  34. Marcos Gestal, Mari Paz Gómez, José Manuel Andrade, Julián Dorado, Esther Fernández, Darío Prada, Alejandro Pazos. Selection of variables by genetic algorithms to classify apple beverages by artificial neural networks. Applied Artificial Intelligence. ISSN 0883-9514, vol. 19(2), pp. 181-198. Taylor & Francis Inc. Philadelphia, PA ( USA). Febrero 2005. (Factor Impacto: 0.629 - Q3)
  35. Marcos Gestal, Mari Paz Gómez, José Manuel Andrade, Julián Dorado, Esther Fernández, Darío Prada, Alejandro Pazos. Classification of Apple Beverages using Artificial Neural Networks with Previous Variable Selection. Analytica Chimica Acta. ISSN 0003-2670, vol. 524, Issue 1-2, pp. 225-234. Elsevier. Amsterdam (Holanda). Septiembre 2004. (Factor Impacto: 2.588 - Q1)
  36. Juan Ramón Rabuñal, Julián Dorado, Miguel Varela, Daniel Rivero, Marcos Gestal. Distributed Genetic Programming by an Object Oriented System using Java and CORBA. Parallel and Distributed Computing and Networks. ISSN 1027-2666, vol. 1, pp. 434-439. Acta Press. Anaheim (EEUU). Febrero 2004.
  37. Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos, Marcos Gestal, Daniel Rivero, Nieves Pedreira. Search the Optimal RANN Architecture, Reduce the Training Set and Make the Training Process by a Distribute Genetic Algorithm. Artificial Intelligence and Applications . ISSN 1027-2666, vol. 1, pp. 415-420Anaheim (EEUU). Febrero 2004.
  38. Marcos Gestal, Julio Claudio Brégains, Juan Antonio Rodríguez, Julián Dorado. Neural Networks & Antennas Design: an Application for Avoiding Interferences. Lecture Notes in Computer Science. ISSN 0302-9743, vol. 2687, pp. 750-757. Springer Verlag. Junio 2003. (Factor Impacto: 0.402)
  39. Julio Claudio Brégains, Julián Dorado, Marcos Gestal, Juan Antonio Rodríguez, Francisco Ares, Alejandro Pazos. Avoiding Interference in Planar Arrays Through the Use of Artificial Neural Networks. IEEE Antennas and Propagation Magazine. ISSN 1045-9243, vol. 44(4), pp. 61-65. IEEE Antenas and Propagation Society . Agosto 2002. (Factor Impacto: 0.905)