Publicaciones en Revistas Indexadas (WoS)


  1. Ferreira, A., Curilem, M., Gomez, W. et al. Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile). Neural Computing & Applications (2023). https://doi.org/10.1007/s00521-023-08994-z

  2. Castilla, M. -., Huenupan, F., Curilem, M., Fustos, I., San Martin, C., & Franco-Marin, L. (2023). P and S wave detection for the nevados de chillan volcanic complex (chile), based on spectro-temporal features. Journal of Volcanology and Geothermal Research, 435 doi:10.1016/j.jvolgeores.2023.107756.

  3. Estevez, P.A., Sbarbaro, D. & Curilem, M. Special issue on Latin–American computational intelligence. Neural Comput & Applic 35, 9267–9268 (2023). https://doi.org/10.1007/s00521-023-08437-9.

  4. Canário, J. P., de Mello, R. F., Curilem, M., Huenupan, F., & Rios, R. A. (2020). Llaima volcano dataset: In-depth comparison of deep artificial neural network architectures on seismic events classification. Data in Brief, 30 doi:10.1016/j.dib.2020.105627.

  5. Canário, J. P., Mello, R., Curilem, M., Huenupan, F., & Rios, R. (2020). In-depth comparison of deep artificial neural network architectures on seismic events classification. Journal of Volcanology and Geothermal Research, 401 doi:10.1016/j.jvolgeores.2020.106881.

  6. Salman Khan Muhammad, Curilem Millaray, Huenupán Fernando, Farhan Khan Muhammad, Becerra Yoma Néstor. A Signal Processing Perspective of Monitoring Active Volcanoes. IEEE SIGNAL PROCESSING MAGAZINE. 1053-5888/19©2019IEEE November 2019. 125-133.

  7. Curilem M., Mello R., Huenupan F., San Martin C., Franco L., Hernndez E, Rios R. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations. Journal of Volcanology and Geothermal Research 367, pp 63-78.2018.

  8. Soto R., Huenupan F., Meza P., Curilem M., Franco L. Spectro-temporal features applied to the automatic classification of volcanic seismic events. Journal of Volcanology and Geothermal Research. 2018. 358.pp.194-206.

  9. Firoozabadi, D. A., Seguel, F.,Soto, I., Guevara, D. Huenupan, F., Curilem, M., Franco, L. Evaluation of Llaima volcano activities for localization and classification of LP, VT and TR events. Journal of Electrical Engineering . 2017. 68(5).325-338.

  10. Bhatti S., Khan, S., Wuth, J., Huenupan, F., Curilem, M., Franco, L., Becerra-Yoma, N. Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models. Journal of Volcanology and Geothermal Research.2016.324.134-143.

  11. Curilem, M, Huenupan, F., Beltran, D., San Martin, C., Fuentealba, G., Franco, L., Cardona, C., Acuna, G., Chacon, M., Khan, S., Becerra-Yoma, N. Pattern recognition applied to seismic signals of Llaima volcano (Chile): An evaluation of station dependent classifiers. Journal of Volcanology and Geothermal Research.2016.315.15-27.

  12. Curilem, M., Vergara, J., San Martin, C., Fuentealba, G., Cardona, C., Huenupan, F., Chacón, M., Khan, S., Hussein, W., Becerra-Yoma, N. Pattern Recognition applied to Seismic Signals of the Llaima Volcano (Chile): An analysis of the events’ features. Journal of Volcanology and Geothermal Research.2014.282.134-147.

  13. Acuña, G., Curilem, M, Cubillos, F. Desarrollo de un Sensor Virtual basado en Modelo NARMAX y Máquina de Vectores de Soporte para Molienda Semiautógena. Revista Iberoamericana de Automática e Informática industrial.2014.11(1).109-116.

  14. Acuña, G., Ramirez, C., Curilem, M. Software sensors for biomass concentration in a SSC process using artificial neural networks and support vector machine. Bioprocess and Biosystems Engineering.2014.37(1).27-36.

  15. Curilem, G., Villarroel, F., Muñoz, C., Vargas, A., Maureira, I. Image Correlation Method for DNA Sequence Alignment. PLoS ONE.2012.7(6).E39221.

  16. Chacón, M., Curilem, G., Acuña, G., Defilippi, C., Madrid, A.M., Jara, S. Detection of patients with functional dyspepsia using wavelet transform applied to their electrogastrograms. Brazilian Journal of Medical and Biological Research.2009.42(12).1203-1209.

  17. Muñoz, C., Vargas, F., Bustos, J., Curilem, M., Salvo, S., Miranda, H. Fuzzy Logic in Genetic Regulatory Network Models.International Journal of Computers, Communications & Control.2009.4(4).363-373.

  18. Curilem, G.M.S, Vergara, J., Fuentealba, G, Acuña, G, Chacón, M. Classification of Seismic Signals at Villarrica Volcano (Chile) using Neural Networks and Genetic Algorithms. Journal of Volcanology and Geothermal Research.2009.180(1).1-8.

  19. Curilem, G.M.S., Barbosa A.R. & De Azevedo F.M. .Intelligent Tutoring Systems: Formalization as Automata and Interface Design Using Neural Networks. Computer & Education.2007.49(3).545-561.

  20. Curilem, G. M. S., De Azevedo, F. M., Barbosa A. R. Adaptive Interface Methodology for Intelligent Tutoring Systems. Lecture Notes in Computer Science.2004.3220.741-750.

  21. Ferneda, E., De Barros, C. E., De Almeida, O. Hyggo, Brasil, L. M., Lima Jr.A. P., Curilem, G. M.An e-Learning Environment in Cardiology Domain. Lecture Notes in Computer Science.2004.3220.818-820.