Gonzalo Ruz

Gonzalo Ruz
Gonzalo Ruz
Profesor Asociado
Área(s): TECNOLOGÍAS DE INFORMACIÓN
FACULTAD DE INGENIERÍA Y CIENCIAS
PH.D. IN MACHINE LEARNING, CARDIFF UNIVERSITY, UNITED KINGDOM, 2008
E-mail: gonzalo.ruz@uai.cl
Sede: SANTIAGO - PEÑALOLÉN
Edificio: E
Número de oficina: 311
Sitio Web: http://www.gonzaloruz.com/

RESUMEN

 Página web:  www.gonzaloruz.com
Su enseñanza básica la realizó en Nueva Zelandia y la enseñanza media en Chillán. Sus estudios superiores los realizó en la Facultad de Ciencias Físicas y Matemáticas de la Universidad de Chile, obteniendo el título de Ingeniero Civil Electricista y el grado de Magíster en Ciencias de la Ingeniería, Mención Ingeniería Eléctrica. Luego trabajó en el departamento de Inteligencia de Negocios de Sonda S.A., en donde se dedicó a diseñar y ejecutar proyectos de data mining, en particular, diseño de sistemas de detección de fraude, y modelos predictivos.  En Julio del 2005, inició sus estudios de PhD en el Manufacturing Engineering Centre, Cardiff University, UK, gracias a la beca ORSA award. Completó sus estudios en el 2008, donde su tema de tesis doctoral consistió en el desarrollo de nuevas técnicas para data mining mediante el uso de Redes Bayesianas. En el 2009 ingresa a la UAI como Postdoctorado para realizar investigación relacionada con modelos de redes de regulación genética junto al Profesor Eric Goles.

Principales Programas y Cursos donde participa/participó
Ingeniería Civil, Diplomado de Business Analytics, Magíster en Ciencias de la Ingeniería.

Principales Publicaciones
- Ruz, G. A. and Pham, D. T., "NBSOM: The naive Bayes self-organizing map", Neural Computing & Applications. (2011 Accepted, DOI: 10.1007/s00521-011-0567-9).
- Pham, D. T. and Ruz, G. A., "Unsupervised training of Bayesian networks for data clustering", Proceedings of the Royal Society A, vol. 465, 2009, pp 2927-2948.
- Ruz, G.A. and Pham, D.T., “Building Bayesian network classifiers through a Bayesian complexity monitoring system”, Proc. IMechE, Part C: J. Mechanical Engineering Science, Vol. 223(C3), 2009, pp.743-755.
- Ruz, G.A., Estévez, P.A. and Ramirez, P.A., “Automated Visual Inspection System for Wood Defect Classification Using Computational Intelligence Techniques”, International Journal of Systems Science, Vol. 40, No. 2, February 2009, pp. 163-172.
- Ruz, G.A., Estévez, P.A., Perez, C.A., "A Neurofuzzy Color Image Segmentation Method for Wood Surface Defect Detection", Forest Products Journal, Vol. 55, N° 4, April 2005, pp. 52-58.

Principales Proyectos
"Constructing genetic regulatory networks from data using evolutionary computation". Proyecto Nº3100044, Concurso Fondecyt Postdoctorado 2010.
"Mathematical modeling for industrial and management science applications: a multidisciplinary approach". Proyecto ACT88, III Concurso Anillos de Ciencia y Tecnología 2009; (integrante Postdoctorado).

 Página web:  www.gonzaloruz.com


Artículos
2017 Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers, Neurocomputing, 226, 109-116
2016 Improving the performance of inductive learning classifiers through the presentation order of the training patterns, Expert Systems with Applications, 58, 1-9
2016 Crisis in complex social systems: A social theory view illustrated with the Chilean case, Complexity, 21, 13-23
2015 Turnover prediction in a call center: Behavioral evidence of loss aversion using random forest and naive Bayes algorithms, Applied Artificial Intelligence, 29, 923-942
2015 Explaining job satisfaction and intentions to quit from a value-risk perspective, Academia Revista Latinoamericana de Administración, 28, 523-540
2015 A Survival Model Based on Met Expectations: Application to Employee Turnover in a Call Center, Academia Revista Latinoamericana de Administración, 28, 177-194
2015 Dynamics of neural networks over undirected graphs, Neural Networks, 63, 156-169
2014 Neutral space analysis for a Boolean network model of the fission yeast cell cycle network, Biological Research, 47, 64
2014 Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach, Biosystems, 115, 23-32
2013 Discovering craniofacial patterns using multivariate cephalometric data for treatment decision making in Orthodontics, International Journal Of Morphology, 1109-1115, 31
2013 Policy making for broadband adoption and usage in Chile through machine learning, Expert Systems With Applications, 6728-6734, 40
2012 Job performance prediction in a call center using a naive Bayes classifier, Expert Systems with Applications, 39, 9939-9945
2012 Deconstruction and dynamical robustness of regulatory networks: Application to the yeast cell cycle networks, Bulletin of Mathematical Biology, ,
2012 Building synthetic networks of the budding yeast cell-cycle using swarm intelligence , Proceedings de la 11th International Conference on Machine Learning and Applications (ICMLA 2012), , 120-125
2012 Reconstruction and update robustness of the mammalian cell cycle network , Proceedings del IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2012), , 397-403
2011 Learning gene regulatory networks using the bees algorithm., Neural Computing and Applications, ,
2011 NBSOM: The naïve Bayes self-organizing map., Neural Computing and Applications, ,
2009 Unsupervised training of Bayesian networks for data clustering., Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences, 2927-2948, 465