Publicaciones WoS
•[2024] Solar M., Cisternas Álvarez F., Villacura J.-P., y Dombrovskaia, L. Una revisión sobre el aprendizaje automático cuántico y la criptografía cuántica. Memoria Investigaciones en Ingeniería, n.º 27, pp. 180–199.
https://doi.org/10.36561/ING.27.12
•[2024] Solar, M., Figueroa, V., Manríquez, F., Pizarro, F., Dombrovskaia, L. Implementación Cuántica de un Algoritmo Genético. Memoria Investigaciones en Ingeniería, 27, pp. 220–237.
https://doi.org/10.36561/ing.27.14
•[2024] Solar, M., Villacura J. P., Cisternas F., Dombrovskaia, L. Detectando un Espía con Criptografía Cuántica. Memoria Investigaciones en Ingeniería, 27, pp. 200–219.
https://doi.org/10.36561/ing.27.13
•[2024] Solar, M., Castañeda, V., Ñanculef, R., Dombrovskaia, L., and Araya, M. A Data Ingestion Procedure towards a Medical Images Repository. Sensors, 24 (15).
https://doi.org/10.3390/s24154985
•[2023] Rodríguez, P., Villanueva, A., Dombrovskaia, L. et al. A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile. Education and Information Technologies, 28, 10103–10149.
https://doi.org/10.1007/s10639-022-11515-5
•[2012] Rodríguez, P., Nussbaum, M., Dombrovskaia, L. ICT for education: a conceptual framework for the sustainable adoption of technology-enhanced learning environments in schools. Technology, Pedagogy and Education, 21(3), 291–315.
https://doi.org/10.1080/1475939X.2012.720415
•[2012] Rodríguez, P., Nussbaum, M., Dombrovskaia, L. Evolutionary development: a model for the design, implementation and evaluation of ICT for education programmes. Journal of Computer Assisted Learning, 28(2), 81–98.
https://doi.org/10.1111/j.1365-2729.2011.00419.x
•[2012] Arredondo, T., Candel, D., Leiva, M., Dombrovskaia, L., Agulló, L., Seeger, M. Inference System using Softcomputing and Mixed Data applied in Metabolic Pathway Datamining. International Journal of Data Mining and Bioinformatics, 6(1), 61–85.
https://doi.org/10.1504/IJDMB.2012.045539
•[2007] Arredondo, T., Vásquez, F., Candel, D., Dombrovskaia, L., Agulló, L., Córdova, M., Latorre-Reyes, V., Calderón, F., Seeger, M. Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. Lecture Notes in Computer Science, 4756, pp. 957–966.
•[2006] Dombrovskaia, L., Guzmán, L. Student’s Approach to Linear Programming Modeling. IFIP International Federation for Information Processing, 210/2006, Springer Boston, pp. 303–307.
https://doi.org/10.1007/978-0-387-34731-8_35
•[2006] Arredondo, T., Seeger, M., Dombrovskaia, L., Avarias, J., Calderón, F., Candel, D., Muñoz, F., Latorre, V., Agulló, L., Cordova, M., and Gómez, L. Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. In: Ali, M., Dapoigny, R. (eds), Innovations in Applied Artificial Intelligence. Lecture Notes in Artificial Intelligence, 4031, Springer-Verlag, Berlin, pp. 917–926.
https://doi.org/10.1007/11779568_98
•[1998] Dombrovskaia, L., Rodríguez, P., Nussbaum, M. Knowledge-based language for modeling linear programming problems. Computers & Operations Research, 25(5), 379–388.
https://doi.org/10.1016/S0305-0548(97)00076-2
Conferencias Scopus
•[2025] Maldonado, M., Dombrovskaia, L. An exploratory study of the content of Sprint Retrospectives in Agile software capstone projects. 2025 LI Latin American Computer Conference (CLEI), Valparaíso, Chile, pp. 1–9.
https://doi.org/10.1109/CLEI67442.2025.11420387
•[2025] Perelli V., Dombrovskaia, L., Leonardo Madariaga, L. Microlearning and Chatbots to Enhance Motivation and Performance in User Interface Design Course. 2025 LI Latin American Computer Conference (CLEI), Valparaíso, Chile, pp. 1–4.
https://doi.org/10.1109/CLEI67442.2025.11420800
•[2025] Allendes, T., Dombrovskaia, L., Sierra, C. Improving Immersion and Assessing the Impact of a Virtual Reality Experience on Influencing Discriminatory Attitudes Toward People with Disabilities. 2025 44th International Conference of the Chilean Computer Science Society, Valparaíso, Chile, pp. 1–4.
https://doi.org/10.1109/SCCC67219.2025.11420787
•[2024] Dombrovskaia, L., Riveros, E., and Rodríguez, P. Analysis of trajectories of students in higher technical-professional education using data mining methods. 2024 43rd International Conference of the Chilean Computer Science Society (SCCC), Temuco, Chile, pp. 1–8.
https://doi.org/10.1109/SCCC63879.2024.10767663
•[2024] Dombrovskaia, L., Miranda, V., and Carrillo, D. Gender Approach in the Perception of the University Climate in Informatics Engineering Program. 2024 43rd International Conference of the Chilean Computer Science Society (SCCC), Temuco, Chile, pp. 1–6.
https://doi.org/10.1109/SCCC63879.2024.10767638
•[2024] Solar, M., Araya, M., Ñanculef, R., Dombrovskaia, L., Castañeda, V., and Roberts, I. ALPACS: Interoperable Repository of Medical Images. 2024 L Latin American Computer Conference (CLEI), Buenos Aires, Argentina, pp. 1–9.
https://doi.org/10.1109/CLEI64178.2024.10700554
•[2021] Dombrovskaia L., Vilches A. Guideline for Web pages design inclusive for senior users. 2021 40th International Conference of the Chilean Computer Science Society (SCCC), November 15–19.
https://doi.org/10.1109/SCCC54552.2021.9650420
•[2020] Dombrovskaia L., del Rio J.P., Rodríguez P. Prediction of student’s retention in first year of engineering program at a technological chilean university. 2020 39th International Conference of the Chilean Computer Science Society (SCCC), Coquimbo, Chile, November 16–20.
https://doi.org/10.1109/SCCC51225.2020.9281195
•[2019] Dombrovskaia L., López C., Reyes C. Attrition of women students in the first year of informatics studies at UTFSM. 2019 38th International Conference of the Chilean Computer Science Society (SCCC), Concepción, Chile, November 4–8.
https://doi.org/10.1109/SCCC49216.2019.8966430
•[2019] Calvo R., Dombrovskaia L. Implementation of Agile Methods in Capstone Projects of Higher Education: Diagnostics and Proposal. 2019 38th International Conference of the Chilean Computer Science Society (SCCC), Concepción, Chile, November 4–8.
https://doi.org/10.1109/SCCC49216.2019.8966405
•[2018] Dombrovskaia L., Godoy P. A collaborative learning experience in the programming course. 2018 37th International Conference of the Chilean Computer Science Society (SCCC), Santiago, Chile, November 5–9.
https://doi.org/10.1109/SCCC.2018.8705255
•[2009] Agulló L., Candel D., Arredondo T., Dombrovskaia L., & Seeger M. Reconstruction of the Metabolism in Bacteria Using Bioinformatic Software and in Vivo Studies. 3rd Congress of European Microbiologists, Goteborg, Sweden, June 28–July 2, 2009.
•[2009] Arredondo, T., Leiva M., Candel, D., Dombrovskaia, L., Agulló, L., Seeger, M. & Vásquez, F. Feed-Forward Artificial Neural Network Based Inference System Applied in Bioinformatic Data-Mining. 2009 International Joint Conference on Neural Networks, Atlanta, Georgia, USA, June 14–16, 2009.
https://doi.org/10.1109/IJCNN.2009.5178943
•[2007] Arredondo, T., Vásquez, F., Candel, D., Dombrovskaia, L., Agulló, L., Córdova, M., Latorre-Reyes, V., Calderón, F., & Seeger, M. Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. 12th Iberoamerican Congress on Pattern Recognition, Valparaíso, Chile, November 13–16, 2007.
https://doi.org/10.1007/978-3-540-76725-1_99
•[2006] Dombrovskaia L. & Guzmán L. Student’s approach to Linear Programming Modeling. 19th IFIP World Computer Congress, IFIP Conference on Education for the 21st Century – Impact of ICT and Digital Resources, Santiago, Chile, August 20–25, 2006.
https://doi.org/10.1007/978-0-387-34731-8_35
•[2006] Arredondo, T., Seeger, M., Dombrovskaia, L., Avarías, J., Calderón, F., Candel, D., Muñoz, F., Latorre, V., Agulló, L., Cordova, M., & Gómez, L. Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. The 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE’06), Annecy, France, June 27–30, 2006.
https://doi.org/10.1007/11779568_98
•[2001] Dombrovskaia L. & Janetzko D. ¿Gráfica o texto: cuál es mejor para modelar problemas lineales mixtos? IX Encuentro Chileno de Computación, Punta Arenas, Chile, November 5–9, 2001.
•[1999] Dombrovskaia L. & Nussbaum M. Visual Languages for Linear Programming. Proceedings of the 10th Mini Euro Conference Human Computer Interaction, Brest, France, September 22–24, 1999, pp. 483–490.
•[1997] Dombrovskaia L. & Nussbaum M. Knowledge Based Modeling Tool for Linear Programming. Proceedings of The Joint Pacific Asian Conference on Expert Systems/Singapore International Conference on Intelligent Systems (PACES/SPICIS 97), Singapore, February 24–27, 1997.
•[1995] Dombrovskaia L., Rodriguez P., & Nussbaum M. Knowledge Based Modeling Tool for Linear Programming. Proceedings of XV International Conference of the Chilean Computer Science Society, Arica, Chile, November 1–3, 1995.
