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Héctor Gabriel Allende Cid

Profesor Asociado

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

Machine Learning Pattern Recognition Distributed and Parallel Computing

Ingeniería Informática, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2015
Ciencias de la Ingeniería Informática, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2009
Ciencias de la Ingeniería Informatica, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2007

Profesor Asociado Full Time

PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO

Ingeniería

Valparaíso, Chile

2015 - A la fecha

Consultor Part Time

SOLEM

Chile

2015 - 2015

Tesis pregrado
Miguel Arriagada. Reconocimiento de Dígitos Manuscritos mediante algoritmo de K Vecinos Más Cercanos. Ingeniería En Ejecución Informática (2015)
Felipe Acosta. Detección de Células Mitóticas mediante Redes Convolucionales Profundas. Ingeniería Civil Informática. (En Ejecución)
Marcos Casas, Felipe Contreras. Implementación de Aprendizaje Incremental para Modelos de Scoring Financieros. Ingeniería Civil Informática. (En Ejecución)
Ignacio Salazar. Pronóstico de Series de Tiempo con Redes Recurrentes Profundas. Ingeniería Civil Informática. (En Ejecución)

Tesis posgrado (Magíster y Doctorado)
Randal Contreras. Pronóstico de resultados electorales con datos masivos de redes sociales usando la plataforma de Apache Spark. Magíster en Ingeniería Informática. (En Ejecución)
Alexis Romo. Minería de Reglas de Asociación en Grandes Volumenes de Datos. Magíster en Ingeniería Informática. (En Ejecución)
Ismael Alvarez. Integrating a Chatbot as skill of a social robot with dialogue Manager. Magíster en Ingeniería Informática. (En Ejecución)
Carlos González. Implementación de análisis genómico basados en la nube para el estudio de organismos de interés en la acuicultura mundial. Magíster en Ingeniería Informática. (En Ejecución)
Andrés Ramos. Análisis de Sentimientos Automático para Artículos Médicos. Doctorado en Ingeniería Informático. (En Ejecución)
Andrés Leiva. Detección de Eventos Anormales en Grafos de Movilidad. Doctorado en Ingeniería Informática. (En Ejecución)

He realizado charlas para el programa Conicyt Explora 1000 aulas 1000 científicos, charlas de difusión en instituciones como la Armada y otras universidades del CRUCH

Premio en Docencia Distinguida

PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO

Chile, 2016

Premio a docentes con excelentes evaluaciones docentes.
Premio Maestro Destacado

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

Chile, 2015

Premio por obtener excelentes evaluaciones docentes.
Best Paper Award

9th International Conference on Social Computing and Social Media

Canada, 2017

Premio al Mejor Paper de la Conferencia
Best Presentation Award

International Conference on Pattern Recognition Systems

Chile, 2016

Premio a la mejor presentación de la conferencia


A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations Querales, Marvin; Salas, Rodrigo; Morales, Yerel; Allende-Cid, Héctor; Rosas, Harvey Article APPLIED SOFT COMPUTING (2022)
Predicting Brazilian Court Decisions Lage-Freitas, Andre; Allende-Cid, Héctor; Santana, Orivaldo; Oliveira-Lage, Livia Article PeerJ Computer Science (2022)
Predicting student performance in computing courses based on programming behavior Araya, Ignacio; Beas, Victor; Stamulis, Katrina; Allende-Cid, Héctor Article COMPUTER APPLICATIONS IN ENGINEERING EDUCATION (2022)
A self-identification Neuro-Fuzzy inference framework for modeling rainfall-runoff in a Chilean watershed Morales, Yerel; Querales, Marvin; Rosas, Harvey; Allende-Cid, Héctor; Salas, Rodrigo Article Journal of Hidrology (2021)
Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images Villavicencio Arancibia, Gabriel; Pina Bustamante, Osvaldo; Hermosilla Vigneau, Gabriel; Allende-Cid, Héctor; Suazo Fuentealba, Gonzalo; Araya Nieto, Victor Article IEEE ACCESS (2021)
Thermal Face Generation Using StyleGAN Hermosilla, Gabriel; Henriquez Tapia, Diego-Ignacio; Allende-Cid, Héctor; Farias Castro, Gonzalo; Vera, Esteban Article IEEE Access (2021)
Analyzing social media, analyzing the social? A methodological discussion about the demoscopic and predictive potential of social media Santander, Pedro; Alfaro, Rodrigo; Allende-Cid, Héctor; Elórtegui, Claudio; González, Cristian Article SCOPUS Quality and Quantity (2020)
Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis Ramos, Andrés; Allende-Cid, Héctor; Taramasco, Carla; Becerra, Carlos; Figueroa , Rosa L. Article IEEE ACCESS (2020)
Leveraging Phase Transition of Topics for Event Detection in Social Media Barros, Pedro H.; Cardoso-Pereira, Isadora; Allende-Cid, Hector; Rosso, Osvaldo A.; Ramos, Heitor S. Article ISI IEEE ACCESS (2020)
A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse Allende-Cid, Hector; Zamora, Juan; Alfaro-Faccio, Pedro; Francisca Alonso-Sanchez, Maria Article ISI SCOPUS IEEE ACCESS (2019)
Developing usability heuristics with PROMETHEUS: A case study in virtual learning environments Figueroa, Ismael; Jimenez, Cristhy; Allende-Cid, Hector; Leger, Paul Article ISI SCOPUS COMPUTER STANDARDS INTERFACES (2019)
Distributed Clustering of Text Collections Zamora, Juan; Allende-Cid, Hector; Mendoza, Marcelo. Article ISI SCOPUS IEEE ACCESS (2019)
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables Vivas, Eliana; Allende-Cid, Hector; salas, rodrigo; Bravo, Lelys Article ISI SCOPUS Entropy (2019)
Redes sociales, inteligencia computacional y predicción electoral: el caso de las primarias presidenciales de Chile 2017. Santander, Pedro; Elórtegui, Claudio; González, Cristian; Allende-Cid, Héctor; Palma, Wenceslao Article Scopus CUADERNOS.INFO (2018)
PROMETHEUS: Procedural Methodology For Developing Heuristics Of Usability Jimenez, Cristhy; Figueroa, Ismael; Allende Cid, Héctor Article ISI IEEE LATIN AMERICA TRANSACTIONS (2017)
Redes sociales, inteligencia computacional y predicción electoral=> el caso de las primarias presidenciales de Chile 2017 Pedro Santander, Claudio Elórtegui; Cristián González, Héctor Allende-Cid Article Cuadernos.info (2017)
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model Veloz A.; Salas, R.; Allende-Cid, H.; Allende, H.; Moraga, C. Article ISI SCOPUS Neural Processing Letters (2016)
Soft Computing Applied to Distributed Regression with Context-Heterogeneity Allende-Cid, Héctor Article ISI Journal of Multiple-Valued Logic and Soft Computing (2016)
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System Allende-Cid, H.; Salas, R.; Veloz A.; Moraga, C.; Allende, H. Article ISI SCOPUS International Journal of Computational Intelligence Systems (2016)
Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression Héctor Allende-Cid; Héctor Allende; Raúl Monge; Claudio Moraga Article ISI JOURNAL OF UNIVERSAL COMPUTER SCIENCE (2015)
ROBUST SIEVE BOOTSTRAP PREDICTION INTERVALS FOR CONTAMINATED TIME SERIES Ulloa, G., Allende-Cid, H., Allende, H. Article ISI International Journal of Pattern Recognition and Artificial Intelligence (2014)
An Improved Fuzzy Rule-Based Automated Trading Agent Allende-Cid, H; Canessa, E; Quezada, A; Allende, H. Article ISI SCOPUS Studies in Informatics and Control (2011)


Distributed Machine Learning with Context-Awareness for the Regression Task Allende-Cid, Héctor; Seising, Héctor; Allende-Cid, Héctor BookSection (2016)
Prediction Intervals in Linear and Nonlinear Time Series with Sieve Bootstrap Methodology Allende, Héctor; Ulloa, Gustavo; Allende-Cid, Héctor; Beran J.; Feng Y.; Hebbel H. BookSection (2014)


A Distributed Shared Nearest Neighbors Clustering Algorithm. Zamora, Juan; Allende-Cid, Héctor; Mendoza, Marcelo. ConferencePaper Scopus (2018)
Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. Cardoso, Isadora; Almeida, Eliana; Allende-Cid, Héctor; Frery, Alejandro; Rangayyan, Rangaraj; Azevedo-Marques, Paulo; Ramos, Heitor S ConferencePaper Scopus (2018)
Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement. Pérez-Vera, Sebastian; Alfaro, Rodrigo; Allende-Cid, Héctor ConferencePaper Scopus (2018)
Automatic tweets classification under an intelligent agents framework. Rodriguez, Sebastian; Alfaro, Rodrigo; Allende-Cid, Héctor; Cubillos, Claudio ConferencePaper Scopus (2017)
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets Allende-Cid, Héctor; Acuña, Diego; Allende, Héctor; Beltrán-Castañón C.; Nyström I.; Famili F. ConferencePaper SCOPUS (2016)
Wind Speed Forecast under a Distributed Learning Approach Allende-Cid, H; Allende, H; Monge, R; moraga, c ConferencePaper ISI (2016)
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach Ulloa, Gustavo; Allende-Cid, Héctor; Allende, Héctor; Pardo A.; Kittler J. ConferencePaper SCOPUS (2015)
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach Allende-Cid, Héctor; Valle, Carlos; Moraga, Claudio; Allende, Héctor; salas, Rodrigo ConferencePaper SCOPUS (2015)
Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models Allende-Cid, Héctor; Moraga, Claudio; Allende, Héctor; Monge, Raúl; Camacho D.; Braubach L.; Venticinque S. ConferencePaper SCOPUS (2015)
The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting Acuña, Diego; Allende-Cid, Héctor; Allende, Héctor; Pardo A.; Kittler J. ConferencePaper SCOPUS (2015)
A Machine Learning Method for High-Frequency Data Forecasting López, Erick; Allende, Héctor; Allende-Cid, Héctor; Eduardo Bayro-Corrochano; Edwin Hancock ConferencePaper SCOPUS (2014)
Context-Aware Regression from Distributed Sources Allende-Cid, Héctor; Moraga, Claudio; Allende, Héctor; Monge, Raúl; Zavoral F.; Jung J.; Badica C. ConferencePaper SCOPUS (2014)
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes Ulloa, Gustavo; Allende-Cid, Héctor; Allende, Héctor; Ruiz-Shulcloper J.; Sanniti di Baja G. ConferencePaper SCOPUS (2013)
Robust Asymmetric Adaboost Ormeño, Pablo; Ramirez, Felipe; Valle, Carlos; Allende-Cid, Héctor; Allende, Héctor; Alvarez L.; Mejail M.; Gomez L.; Jacobo J. ConferencePaper SCOPUS (2012)
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model Veloz A.; Salas, R.; Allende-Cid, H; Allende, H. ConferencePaper ISI SCOPUS Proceedings of The International Symposium on Multiple-Valued Logic (2012)
An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments Ñanculef, Ricardo; López, Erick; Allende, Héctor; Allende-Cid, Héctor; San Martin C.; Kim SW. ConferencePaper SCOPUS (2011)
Neuro-fuzzy-based arrhythmia classification using heart rate variability features RamÃrez F.; Allende-Cid, H.; Veloz A.; Allende, H. ConferencePaper SCOPUS Proceedings - International Conference of the Chilean Computer Science Society, SCCC (2011)
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting Veloz, Alejandro; Allende-Cid, Héctor; Allende, Héctor; Moraga, Claudio; salas, Rodrigo; Velásquez J.D.; Ríos S.A.; Howlett R.J.; Jain L.C. ConferencePaper SCOPUS (2009)
Semi-supervised Robust Alternating AdaBoost Allende-Cid, Héctor; Mendoza, Jorge; Allende, Héctor; Canessa, Enrique ConferencePaper SCOPUS (2009)
Self-Organizing Neuro-Fuzzy Inference System Allende-Cid, Héctor; Veloz, Alejandro; salas, Rodrigo; Chabert, Stéren; Allende, Héctor; Ruiz-Shulcloper J.; Kropatsch W.G. ConferencePaper SCOPUS (2008)
Robust Alternating AdaBoost Allende-Cid, Héctor; salas, Rodrigo; Allende, Héctor; Ñanculef, Ricardo; Rueda L.; Mery D.; Kittler J. ConferencePaper SCOPUS (2007)
Forecasting the Chilean electoral year: Using Twitter to predict the presidential elections of 2017. Rodriguez, Sebastian; Allende-Cid, Héctor; Palma, Wenceslao; Alfaro, Rodrigo; González, Cristian; Elórtegui, Claudio; Santander, Pedro ConferencePaper Scopus


DEEP RECURRENT NEURAL NETWORKS FOR MULTI-SCALE TIME SERIES FORECASTING FONDECYT (1170123) Proyecto 2017-2020 Coinvestigador(a)
Deep Recurrent Neural Networks for Multi-Scale Time Series Forecasting Allende, HÉctor M.; Héctor Allende-Cid; Valle, Carlos Proyecto (2016)
Adaptive Distributed Machine Learning: Learning from Large Heterogeneous Data Sources under Non-Stationary Environments. Héctor Allende-Cid Proyecto (2015)
ADAPTIVE DISTRIBUTED MACHINE LEARNING=> LEARNING FROM LARGE HETEROGENEOUS DATA SOURCES UNDER NON-STATIONARY ENVIRONMENTS FONDECYT (11150248) Proyecto 2015-2018 Inv. Responsable
ENSEMBLE OF MACHINE LEARNING-BASED LOCAL ESTIMATORS FOR HIGH FREQUENCY TIME SERIES FORECASTING FONDECYT (1110854) Proyecto 2011-2014 Tesista
ENSEMBLE LEARNING STRATEGIES FOR HIGH-DIMENSIONAL AND NON-STATIONARY DATA FONDECYT (1070220) Proyecto 2007-2010 Tesista
DESARROLLO DE MODELOS DE ARQUITECTURAS FLEXIBLES DE REDES NEURONALES ARTIFICIALES APRENDEN BAJO AMBIENTES CAMBIANTES EN EL TIEMPO FONDECYT (1061201) Proyecto 2006-2008 Tesista
Deep Recurrent Neural Networks for Multi-Scale Time Series Forecasting. Nº1170123 Héctor Allende; Héctor Allende-Cid; Erick López Proyecto Fondecyt Regular 1170123 (0)
Adaptive Distributed Machine Learning: Learning from Large Heterogeneous Data Sources under Non-Stationary Environments. Nº11150248 Héctor Allende-Cid Proyecto Fondecyt Iniciación en Investigación - Conicyt (0)