DYNA

González, M., Jurado, E., González, S., Aguirre, O., Jiménez, J. and Návar-Cháidez, J.D.J., Cambio climático mundial: Origen y consecuencias. Ciencia UANL, 6(3), pp. 377-385, 2003.

Tilling, R. y Beate, B., Los peligros volcánicos. Apuntes breves sobre un curso breve. Organización Mundial de Observatorios Vulcanológicos, 1993. pp. 2-3.

Nugroho, A., and Winarko, E., Geographical information system and Web Service implementation for volcanic eruptions geologic disasters surveillance, monitoring, and mitigation system. International Conference on Electrical Engineering and Informatics (ICEEI), 2011. pp. 17-19. DOI: 10.1109/ICEEI.2011.6021766

Wener-Allen, G., Johnson J., Ruiz, M. and Lees, J., Monitoring volcanic eruptions with a wireless sensor network, Wireless Sensor Networks, 2005. Workshop on Proceeedings of the Second European, 2005. pp. 108-120. DOI: 10.1109/EWSN.2005.1462003

Wassermann, J., Volcano seismology. Fürstenfeldbruck, Geophysikalisches Observatorium der Ludwig-Maximilians Universität München, 2011. pp. 1-67.

Arciniega-Ceballos, A., Chouet, B. and Dawson, P., Long-period events and tremor at Popocatepetl volcano (1994-2000) and their broadband characteristics. Bulletin of Volcanology, 65(2), pp. 124-135, 2003. DOI: 10.1007/s00445-002-0248-8

Ibs-von Seht, M., Detection and identification of seismic signals recorded at Krakatau volcano (Indonesia) using artificial neural networks, Journal of Volcanology and Geothermal Research, 176(4), pp. 448-456, 2008. DOI: 10.1016/j.jvolgeores.2008.04.015

Curilem, G., Vergara, J., Fuentealba, G., Acuña, G. and Chacón, M., Classification of seismic signals al Villarrica volcano (Chile) using neural networks and genetic algorithms. Journal of Volcanology and Geothermal Research, 180(1), pp. 1-8, 2009. DOI: 10.1016/j.jvolgeores.2008.12.002

Celik, E., Atalay, M. and Bayer, H. Earthquake prediction using seismic bumps with Artificial Neural Networks and Support Vector Machines. Signal Processing and Communications Applications Conference (SIU), 2014. pp. 730-733. DOI: 10.1109/SIU.2014.6830333

Doroslovacki, M., Discrete-time signals and uncertainty relations involving ordinary second moments in time and frequency. Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 1994. pp. 186-189. DOI: 10.1109/TFSA.1994.467262

Ahuja, N., Lertrattanapanich, S. and Bose, N., Properties determining choice of mother wavelet. IEE Proceedings-Vision, Image and Signal Processing, 152(5), pp. 659-664, 2005. DOI: 10.1049/ip-vis:20045034

Magotra, N., Nalley, D. and Brozek, J., Seismic event detection using three-component data. IEEE Transactions on Geoscience and Remote Sensing, 30(3), pp. 642-644, 1992. DOI: 10.1109/36.142949

Gabarda, S. and Cristóbal, G., Detection of events in seismic time series by time–frequency methods. Signal Processing, IET, 4(4), pp. 413-420, 2010. DOI: 10.1049/iet-spr.2009.0125

Thanasopoulos, I.A. and Avaritsiotis, J.N., Seismic detection and time of arrival estimation in noisy environments based on the haar wavelet transform. Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE, Darmstadt, 2008. pp. 433- 436. DOI: 10.1109/SAM.2008.4606906

Lara-Cueva, R.A., Benítez, D.S., Carrera, E.V., Ruiz, M. and Rojo-Álvarez, J.L., Automatic recognition of long period events from volcano tectonic earthquakes at Cotopaxi volcano. IEEE Transactions on Geoscience and Remote Sensing, 54(9), pp. 5247-5257, 2016. DOI: 10.1109/TGRS.2016.2559440

Hurtado, J.E., Henao, R. y Castellanos G. Clasificación de señales sísmicas por medio de onditas y máquinas de soporte vectorial. Universidad Nacional de Colombia. Colombia. Observatorio Sismológico de Quindio. Colombia. INGEOMINAS. sfsl CO, 2002.

Gutiérrez, L., Ibáez, J., Cortes, G., Ramírez, J., Benítez, C., Tenorio, V. and Isaac, A., Volcano-seismic signal detection and classification processing using hidden Markov models. Application to San Cristóbal volcano, Nicaragua. Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009, pp. 12-17. DOI: 10.1109/IGARSS.2009.5417428

Hoffman, A., Hoogenboezem, C., van der Merwe, N. and Tollig, J.A. Seismic buffer recognition using wavelet based features. Geoscience and Remote Sensing Symposium Proceedings, 1998 IEEE International, IGARSS 1998, pp. 1333-1335. DOI: 10.1109/IGARSS.1998.691399

Andrade, D., Hall, M., Mothes, P., Troncoso, L., Eissen, J., Samaniego, P., Egred, J., Ramón, P., Rivero, D. y Yepes, H., Los peligros volcánicos asociados con el Cotopaxi. Corporación Editorial Nacional, 2005.

Salazar, D. y D´Ercole, D., Percepción del riesgo asociado al volcán Cotopaxi y vulnerabilidad en el Valle de Los Chillos (Ecuador), l’Institut Français d’Études Andines, 38 (3), pp. 849-871, 2009.

Rivera, K., Mapa de periodos predominantes del suelo del área urbana de la ciudad de Loja (Ecuador), obtenidos a partir de medidas de ruido ambiental, Tesis, Departamento de Geología y Minas, Universidad Técnica Particular de Loja, Loja, Ecuador, 2013.

Cortes, G., Benitez, M., García, L., Álvarez, I., Ibánez, J., A comparative study of dimensionality reduction algorithms applied to volcano-seismic signals. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (99), pp. 1-11, 2015. DOI: 10.1109/JSTARS.2015.2479300

Chouet, B., Page, R., Stephens, C, Lahr, J. and Power, J., Precursory swarms of long-period events at Redoubt volcano (1989–1990), Alaska: Their origin and use as a forecasting tool. Journal of Volcanology and Geothermal Research, 62(1), pp. 95-135, 1994. DOI: 10.1016/0377-0273(94)90030-2

Burrus, C., Gopinath, R. and Guo, H., Introduction to wavelets and wavelet transforms: A primer, Prentice-Hall International, 1997.

Mojsilovic, A., Popovic, M. and Rackov, D., On the selection of an optimal wavelet basis for texture characterization. IEEE Transactions on Image Processing, 9(12), pp. 2043-2050, 2000. DOI: 10.1109/83.887972

Bishop, C., Pattern recognition and machine learning, Springer, 2006.

Landgrebe, D., A survey of decision tree classifier methodology. IEEE transactions on Systems, Man and Cybernetics, 21(3), pp. 660-674, 1991. DOI: 10.1109/21.97458

Magerman, D., Statistical decision-tree models for parsing. Proceedings of the 33rd annual meeting on Association for Computational Linguistics, pp. 276-283, 1995. DOI: 10.3115/981658.981695

Dougherty, G., Pattern recognition and classification: An introduction. Springer Science & Business Media, 2012.

Esposito, F., Malerba, D., Semeraro, G. and Kay, J., A comparative analysis of methods for pruning decision trees, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(5), pp. 476-491, 1997. DOI: 10.1109/34.589207

Dai, Q., A competitive ensemble pruning approach based on cross-validation, Knowledge-Based Systems, 37, pp. 394-414, 2013. DOI: 10.1016/j.knosys.2012.08.024