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Jorge Ramón Vergara Quezada

Profesor asociado

Universidad Tecnológica Metropolitana

Santiago, Chile

Feature selection/extraction/construction; Machine learning; Computational intelligence, information theory learning, signal processing and pattern recognition, multi-objective optimization, Evolutionary Computation.

Science in engineering, UNIVERSIDAD DE LA FRONTERA. Chile, 2005
Electrical engineering, UNIVERSIDAD DE CHILE. Chile, 2015
Electronic civil engineer, UNIVERSIDAD DE LA FRONTERA. Chile, 2007

Profesor adjunto Part Time

UNIVERSIDAD ANDRES BELLO

Santiago, Chile

2010 - 2011
Profesor adjunto Part Time

UNIVERSIDAD DE VALPARAISO

Valparaiso, Chile

2012 - 2012
Profesor adjunto Other

UNIVERSIDAD DE CHILE

Facultad de Ciencias Físicas y Matemáticas

Santiago, Chile

2008 - A la fecha
Profesor asistente Other

UNIVERSIDAD DE LA FRONTERA

Facultad de Ingeniería y Ciencias

Temuco, Chile

2004 - 2006
Profesor Asociado Full Time

UNIVERSIDAD TECNOLOGICA METROPOLITANA

Ingeniería

Santiago, Chile

2019 - A la fecha

Investigador Postdoctorado Full Time

Universidad de Chile

Santiago, Chile

2016 - 2018
Asesor Part Time

ProteinLab UTEM

Santiago, Chile

2019 - A la fecha

- Research column for the MAS on the work done jointly with the University of Washington for the improvement of the Large Synoptic Survey Telescope (LSST) asteroid alert system. June 7,2017, http://www.astrofisicamas.cl/en/el-moving-object-pipeline-system/
- PROENTA “The Magic of the Volcanoes”. Activity focused on students between 10-13 years to deliver basic knowledge of volcanoes in Chile. University of La Fontera, 2005

Postdoctorado

FONDECYT

Chile, 2016

Postdoctorado FONDECYT 3160772


Co-Expression of Immunohistochemical Markers MRP2, CXCR4, and PD-L1 in Gallbladder Tumors Is Associated with Prolonged Patient Survival Sanders, Evy; Bergqvist, Anna; Brange, Daniel Uribe; Vergara, Jorge Ramon; Carrasco, Cristian Article ISI SCOPUS Cancers (2023)
Model-based battery thermal parameter optimization using symbolic regression De la Sotta, Rafael I.; Estevez, Pablo A. Article ISI SCOPUS Journal of Energy Storage (2023)
Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors Arancibia, A. M. Munoz Article ISI ASTRONOMICAL JOURNAL (2021)
Subset Feature Selection with Structural Variables Urrutia, Juan A.; Estevez, Pablo A.; IEEE Article ISI 2021 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) (2021)
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker Rodríguez-Mancini, D; Alvarez-Maldonado, I.; Donoso-Oliva, C; Munoz-Arancibia, A.; Molina-Ferreiro, R.; Vergara, J. R. Article ISI ASTRONOMICAL JOURNAL (2021)
Dimensionality Reduction of SDSS Spectra with Variational Autoencoders Portillo, Stephen K. N.; Vergara, Jorge R. Article ISI ASTRONOMICAL JOURNAL (2020)
A strategy for time series prediction using segment growing neural gas Vergara, J. R. Article SCOPUS Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (2017)
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features Curilem, M.; Vergara, J; San Martín, C; Fuentealba G.; Cardona, C; Huenupan, F; Chacón, M; Khan, MS; Hussein, W; Yoma, NB Article ISI SCOPUS JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH (2014)
Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms CURILEM G.; Vergara, J; Fuentealba G.; Acuña, G; Chacón, M Article ISI SCOPUS JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH (2009)


Segment Growing Neural Gas for Nonlinear Time Series Analysis Vergara, J. R.; Estevez, PA; Serrano, A ConferencePaper ISI SCOPUS Advances in Intelligent Systems and Computing (2016)
Nonlinear time series analysis by using gamma growing neural gas Estevez, PA; Vergara, J. R. ConferencePaper SCOPUS Advances in Intelligent Systems and Computing (2013)