Otras Publicaciones


  1. Garay, M., Curilem, M., Huenupan, F., Martin, C. S., & Castilla, M. J. (2021). LSTM network for the detection of P and S waves in seismic signals from the nevados de chillán volcano (chile). Paper presented at the 2021 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2021, doi:10.1109/LA-CCI48322.2021.9769852 (Scopus).

  2. Rios, B. G., & Saldias, M. C. (2021). A systematic mapping of smart farming and image recognition in agriculture. Paper presented at the 2021 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2021, doi:10.1109/LA-CCI48322.2021.9769828 (Scopus).

  3. Curilem, M., Soto, R., Huenupan, F., Martin, C. S., Franco, L., & Cardona, C. (2019). Hierachical classification structure based on SVM for volcano seismic events. Paper presented at the 2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019, doi:10.1109/LA-CCI47412.2019.9037048 (Scopus).

  4. Moncada, R. H., Pavez, B. J., Huenupan, F. F., Curilem, G. M., & Hunter, R. A. (2018). Permanent-magnet machine selection for precise matching with a wind turbine. Paper presented at the Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018, 926-933. (Scopus).

  5. Curilem, M., Canário, J. P., Franco, L., & Rios, R. A. (2018). Using CNN to classify spectrograms of seismic events from llaima volcano (chile). International Joint Conference on Neural Networks, 2018-July doi:10.1109/IJCNN.2018.8489285 Retrieved from www.scopus.com. (Scopus).

  6. Curilem, M., Soto, C., Huenupan, F., San Martin, C., Fuentealba, G., Cardona, C., Franco, L. Improving the classification of volcanic seismic events extracting new seismic and speech features. 22nd Iberoamerican Congress on Pattern Recognition. CIARP 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS, 2017. (Scopus).

  7. Curilem, M., Cuevas, A., Soto, C., Huenupan, F., San Martin, C., Khan, M. S., Gil, F., Cardona, C., Franco, L. Classification of Volcanic Seismic Events: an Expert Knowledge analysis for Feature Selection. 8th International Conference on Pattern Recognition Systems. ICPRS 2017. July 2017. Madrid. Spain. IET Seminar Digest. 2017. (IET).

  8. Khattak, G., Khan M. S., Khan, G. M., Huenupan, F., Curilem, M. Automatic Classification of Seismic Signals of the Chilean Llaima Volcano using Cartesian Genetic Programming based Artificial Neural Network. 8th International Conference on Pattern Recognition Systems. ICPRS 2017. July 2017. Madrid. Spain. IET Seminar Digest. 2017. (IET).

  9. Bustos, P. M., Garrido, S. S., Saldias, M. C., Vargas, H. M., & Sanzana, M. B. (2017). Selection of determinant attributes for the results of the simce matemática 2015 of 8° degree, region de la araucanía Chile, using genetic algorithms and support vector machines. Paper presented at the 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, 2017-January 1-6. doi:10.1109/CHILECON.2017.8229698. (Scopus).

  10. Curilem, M., Huanquilef, C., Acuña, G., Cubillos, F., Araya, B., Segovia, G., Pérez, C. (2016). Prediction of the criticality of a heavy duty mining equipment. Paper presented at the 2015 Latin-America Congress on Computational Intelligence, LA-CCI 2015. doi:10.1109/LA-CCI.2015.7435946. (Scopus).

  11. Curilem, M., Soto C., Huenupan, F., San Martin, C., Cardona, C., Franco, L., Acuña, G., Chacón, M., Khan, M.S., Becerra Yoma N. Feature Selection for Discrimination between Volcanic and Tectonic Events of The Llaima Volcano (Chile). 7th International Conference on Pattern Recognition Systems. Abril 2016. Talca. Chile. IET Seminar Digest 2016(2). (Scopus).

  12. Acuña, G., Cubillos, F., Araya, B., Segovia, G., Pérez, C., Curilem, M., Huanquilef, C. (2016). NARX neural network model for predicting availability of a heavy duty mining equipment. Paper presented at the 2015 Latin-America Congress on Computational Intelligence, LA-CCI 2015. doi:10.1109/LA-CCI.2015.7435945. (Scopus).

  13. Curilem M., Huenupan F., San Martin C., Fuentealba G., Cardona C., Franco L., Acuña G., Chacón M. Feature analysis for the classification of volcanic seismic events using Support Vector Machines. A. Gelbukh et al. (Eds.): MICAI 2014, Part II, Lecture Notes in Artificial Intelligence, LNAI 8857, pp. 160–171. © Springer International Publishing Switzerland 2014. (Scopus).

  14. Acuña G., Curilem M., Araya B., Cubillos F., Miranda R., Garrido F. Predictive Models Applied to a Heavy Duty Equipment Management. A. Gelbukh et al. (Eds.): MICAI 2014, Lecture Notes in Artificial Intelligence, LNAI 8857,pp 198-205. © Springer International Publishing Switzerland 2014. (Scopus).

  15. Maffon, H.P., Brasil, L.M., Melo, J.S., Klavdianos, P.B., Curilem, G.M.J.S., Lamas, J.M. Modeling the architecture of an Intelligent Tutoring System applied to breast cancer (2013) Pan American Health Care Exchanges, PAHCE, art. no. 6568295. (Scopus).

  16. Acuna, G., Curilem, M. Time-variant parameter estimation using a SVM Gray-Box model: Application to a CSTR Process. (2013) 2013 3rd International Conference on Systems and Control, ICSC 2013, art. no. 6750892, pp. 414-418. (Scopus).

  17. Acuña, G., González, J., Curilem, M., Cubillos, F. A SVM gray-box model for a solid substrate fermentation process (2013) Chemical Engineering Transactions, 35, pp. 961-966. (Scopus).

  18. Acuna, G., Ramirez, C., Curilem, M. Software sensors for biomass concentration in a SSC process using Artificial Neural Networks and Support Vector Machine (2012) 2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings, art. no. 6265664, pp. 359-363. (Scopus).

  19. Acuna, G., Ramirez, C., Curilem, M. Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM. (2012) Proceedings of the International Joint Conference on Neural Networks, art. no. 6252476. (Scopus).

  20. Curilem, M., Acuña, G., Cubillos, F., Vyhmeister, E. Neural Networks and Support Vector Machine models applied to energy consumption optimization in semiautogeneous grinding (2011) Chemical Engineering Transactions, 25, pp. 761-766. (Scopus).

  21. San-Martin, C., Melgarejo, C., Gallegos, C., Soto, G., Curilem, M., Fuentealba, G. Feature extraction using circular statistics applied to volcano monitoring. (2010) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6419 LNCS, pp. 458-466. (Scopus).

  22. Chacón, M., Pardo, C., Puppo, C., Curilem, M., Landerretche, J. Non-invasive Intracranial Pressure estimation using Support Vector Machine. (2010) 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, art. no. 5627816, pp. 996-999. (Scopus).

  23. Curilem, M., Chacón, M., Acuña, G., Ulloa, S., Pardo, C., Defilippi, C., Madrid, A.M. Comparison of artificial neural networks an support vector machines for feature selection in electrogastrography signal processing. (2010) 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, art. no. 5626362, pp. 2774-2777. (Scopus).

  24. Curilem, M., Cuevas, A., Soto, C., Huenupan, F., San Martin, C., Khan, M. S., Gil, F., Cardona, C., Franco, L. Classification of Volcanic Seismic Events: an Expert Knowledge analysis for Feature Selection. 8th International Conference on Pattern Recognition Systems. ICPRS 2017. July 2017. Madrid. Spain. IET Seminar Digest. 2017. (IET).

  25. Khattak, G., Khan M. S., Khan, G. M., Huenupan, F., Curilem, M. Automatic Classification of Seismic Signals of the Chilean Llaima Volcano using Cartesian Genetic Programming based Artificial Neural Network. 8th International Conference on Pattern Recognition Systems. ICPRS 2017. July 2017. Madrid. Spain. IET Seminar Digest. 2017. (IET).

  26. Acuña, G., Curilem, M. Comparison of neural networks and support vector machine dynamic models for state estimation in semiautogenous mills. (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5845 LNAI, pp. 478-487. (Scopus).

  27. Pavez-Lazo, B., Soto-Cartes, J., Urrutia, C., Curilem, M. Deterministic selection and annular crossover in genetic algorithms: An application to the planning of termal generating units. (2009) Ingeniare, 17 (2), pp. 175-181. (SCiELO).

  28. BARBOSA, ATR, CURILEM, GM, de AZEVEDO, F. M. Metodologia para desenvolvimento e implementação de Manuais on-line adaptativos ao usuário para equipamentos eletromédicos. Revista Brasileira de Engenharia Biomédica, v. 24, pp 3-15, 2008. (Otros).