Ferreira, A., Campos, D., Lagos, D., Leal, P., & Reinecke, C. (2026). Systematic generation of a dataset to study university dropout in Chile using public data and open source frameworks. En Proceedings of the International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2026). (Trabajo aceptado para publicación).

Ferreira, A., Gómez, W., & Grünewald, I. (2025). Natural language processing techniques to identify work profiles from online job postings. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-83207-9_28

Acuña, I., Cravero, A., & Ferreira, A. (2024). Caso de estudio aplicado en una universidad: Marco de gobernanza de datos en instituciones de educación superior. IEEE Latin America Transactions. https://ieeexplore.ieee.org/document/10767672

Ferreira, A., Curilem, M., Gómez, W., & Ríos, R. (2023). Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile). Neural Computing and Applications, 35, 30935–30952. https://doi.org/10.1007/s00521-023-08994-z

Esparza, P., Ferreira, A., Gómez, W., Huenchulao, H., & Oliva, J. (2023). Automatic crack detection in ore leach dump using transfer learning. En 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI). https://doi.org/10.1109/LA-CCI58595.2023.10409487

Ferreira, A., Gómez, W., & Kliebs, R. (2021). Using deep learning predictors and latent Dirichlet allocation to identify key issues affecting clients in Chilean restaurants. En 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI). https://doi.org/10.1109/LA-CCI54723.2021.9769840

Ferreira, A. (Investigador). (2025–2027). MIL-SWIS®: Sistema Integrado Multidimensional para la Inclusión Laboral de Personas con Discapacidad (ANID, Proyecto IT25I0082).