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Rodríguez, P., Nussbaum, M., & Dombrovskaia, L. (2012). Evolutionary development: a model for the design, implementation and evaluation of ICT for education programmes. Journal of Computer Assisted Learning, 28(2), 81–98.doi:10.1111/j.1365-2729.2011.00419.x
Arredondo, T., Candel, D., Leiva, M., Dombrovskaia, L., Agulló, L., Seeger, M. (2012). InferenceSystem using Softcomputing and Mixed Data applied inMetabolic Pathway Datamining. International Journal of Data Mining and Bioinformatics, Vol. 6, Nº 1, 61-85. doi:10.1504/IJDMB.2012.045539
Leiva, M., Arredondo, T. Candel, D., Dombrovskaia, L., Agulló, L. Seeger, M., Vásquez, F. (2009). Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining. International Joint Conference on Neural Networks, Atlanta, June 14-19. 1744-1749. doi:10.1109/IJCNN.2009.5178943
Arredondo, T., Vásquez, F., Candel, D., Dombrovskaia, L., Agulló, L., Córdova, M., Latorre-Reyes, V., Calderón, F., Seeger, M. (2007). Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. Lecture Notes in Computer Science, Vol. 4756. Springer-Verlag, Berlin (2007) p. 957-96. doi: 10.1007/978-3-540-76725-1_99
Arredondo, T., Seeger, M., Dombrovskaia, L., Avarias, J., Calderón, F., Candel, D., et al. (2006). Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. In Ali, M., Dapoigny, R.(eds): Innovations in Applied Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol. 4031, 2006, Springer-Verlag, Berlin, p. 917-926. doi:10.1007/11779568_98
Dombrovskaia, L., Guzmán, L. (2006). Student's Approach to Linear Programming Modeling. Education for the 21st Century 2006: 303-307. doi: 10.1007/978-0-387-34731-8_35
Dombrovskaia, L., Rodríguez, P., & Nussbaum, M. (1998). Knowledge-based language for modeling linear programming problems. Computers & Operations Research, 25(5), 379–388. doi:10.1016/S0305-0548(97)00076-2