Genetic Programming Bibliography entries for Jose Raul Romero Salguero

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8129

GP coauthors/coeditors: Rafael Barbudo Lunar, Sebastian Ventura, Aurora Ramirez Quesada, Francisco Javier Servant Cortes, Jose Maria Luna, Cristobal Romero Morales, Juan Luis Olmo, Alberto Cano Rojas,

Genetic Programming Articles by Jose Raul Romero Salguero

  1. Rafael Barbudo and Aurora Ramirez and Jose Raul Romero. Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity. Applied Soft Computing, 153:111292, 2024. details

  2. Rafael Barbudo and Aurora Ramirez and Francisco Servant and Jose Raul Romero. GEML: A grammar-based evolutionary machine learning approach for design-pattern detection. Journal of Systems and Software, 175:110919, 2021. details

  3. Aurora Ramirez and Jose Raul Romero and Sebastian Ventura. A comparative study of many-objective evolutionary algorithms for the discovery of software architectures. Empirical Software Engineering, 21(6):2546-2600, 2016. details

  4. Aurora Ramirez and Jose Raul Romero and Sebastian Ventura. An approach for the evolutionary discovery of software architectures. Information Sciences, 305:234-255, 2015. details

  5. J. M. Luna and C. Romero and J. R. Romero and S. Ventura. An Evolutionary Algorithm for the Discovery of Rare Class Association Rules in Learning Management Systems. Applied Intelligence, 42(3):501-513, 2015. details

  6. Juan L. Olmo and Jose R. Romero and Sebastian Ventura. Swarm-based metaheuristics in automatic programming: a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(6):445-469, 2014. details

  7. J. M. Luna and J. R. Romero and S. Ventura. On the adaptability of G3PARM to the extraction of rare association rules. Knowledge and Information Systems, 38(2):391-418, 2014. details

  8. Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura. Single and multi-objective ant programming for mining interesting rare association rules. International Journal of Hybrid Intelligent Systems, 11(3):197-209, 2014. details

  9. Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura. Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integrated Computer-Aided Engineering, 21(4):321-337, 2014. details

  10. Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura. On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Transactions on Cybernetics, 44(12):2329-2341, 2014. details

  11. Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. Mining association rules with single and multi-objective grammar guided ant programming. Integrated Computed-Aided Engineering, 20(3):217-234, 2013. details

  12. J. M. Luna and J. R. Romero and S. Ventura. Grammar-based multi-objective algorithms for mining association rules. Data \& Knowledge Engineering, 86:19-37, 2013. details

  13. Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowledge and Information Systems, 32(1):53-76, 2012. details

  14. J. L. Olmo and J. R. Romero and S. Ventura. Classification rule mining using ant programming guided by grammar with multiple Pareto fronts. Soft Computing, 16(12):2143-2163, 2012. details

  15. Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura. Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(6):1585-1599, 2011. details

Genetic Programming conference papers by Jose Raul Romero Salguero

  1. Rafael Barbudo and Sebastian Ventura and Jose Raul Romero. Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence. In Ajith Abraham and Andries Engelbrecht and Fabio Scotti and Niketa Gandhi and Pooja Manghirmalani Mishra and Giancarlo Fortino and Virgilijus Sakalauskas and Sabri Pllana editors, Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021), volume 417, pages 647-656, 2021. Springer. details

  2. Jose M. Luna and Jose R. Romero and Cristobal Romero and Sebastian Ventura. Discovering Subgroups by Means of Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 121-132, Vienna, Austria, 2013. Springer Verlag. details

  3. Juan Luis Olmo Ortiz and Jose-Raul Romero and Sebastian Ventura. On the Use of Ant Programming for Mining Rare Association Rules. In Simone Ludwig and Patricia Melin and Ajith Abraham and Ana Maria Madureira and Kendall Nygard and Oscar Castillo and Azah Kamilah Muda and Kun Ma and Emilio Corchado editors, 5th World Congress on Nature and Biologically Inspired Computing, pages 220-225, Fargo, USA, 2013. IEEE. details

  4. Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura. Multi-objective Ant Programming for Mining Classification Rules. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 146-157, Malaga, Spain, 2012. Springer Verlag. details

  5. Juan Luis Olmo and Alberto Cano and Jose Raul Romero and Sebastian Ventura. Binary and multiclass imbalanced classification using multi-objective ant programming. In 12th International Conference on Intelligent Systems Design and Applications (ISDA 2012), pages 70-76, 2012. details

  6. Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura. A genetic programming free-parameter algorithm for mining association rules. In 12th International Conference on Intelligent Systems Design and Applications (ISDA 2012), pages 64-69, 2012. details

  7. Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. Association rule mining using a multi-objective grammar-based ant programming algorithm. In 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pages 971-977, Cordoba, 2011. details

  8. Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. Mining and representing rare association rules through the use of genetic programming. In Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), pages 86-91, Salamanca, 2011. details

  9. Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura. A grammar based Ant Programming algorithm for mining classification rules. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  10. Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  11. Jose Maria Luna and Aurora Ramirez and Jose Raul Romero and Sebastian Ventura. An intruder detection approach based on infrequent rating pattern mining. In 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010), pages 682-688, 2010. details

  12. J. M. Luna and J. R. Romero and S. Ventura. Analysis of the Effectiveness of G3PARM Algorithm. In Emilio Corchado and Manuel Grana Romay and Alexandre Manhaes Savio editors, Proceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) Part II, volume 6077, pages 27-34, San Sebastian, Spain, 2010. Springer. details

Genetic Programming book chapters by Jose Raul Romero Salguero