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Billy Mark Peralta Marquez

Profesor Asistente

Universidad Andrés Bello

Santiago, Chile

Machine learning, computer vision, deep learning, pattern recognition, probabilistic graphical models

Ciencias de la Computación, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2013
Ciencia de la Computacion, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2009
Ingeniero de Sistemas, Universidad Nacional deTrujillo. Peru, 2004

Profesor Asistente Full Time

UNIVERSIDAD CATOLICA DE TEMUCO

Ingenieria

Temuco, Chile

2014 - 2018
Profesor Asistente Part Time

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Ingenieria

Santiago, Chile

2011 - 2013
Profesor Asistente Full Time

UNIVERSIDAD ANDRES BELLO

Ingenieria

Santiago, Chile

2018 - At present

Profesor Asistente Full Time

Universidad Catolica de Temuco

Temuco, Chile

2014 - At present
Profesor Investigador Full Time

Universidad Andres Bello

Santiago, Chile

2018 - At present

He guiado 6 tesis de pregrado:

Modelo de detección de outliers usando redes profundas, R. Soria. Universidad Andrés Bello. 2019.
Modelamiento de mezcla de expertos usando penalización entrópica de compuertas, A. Saavedra. Universidad Católica de Temuco. 2016.
Finetuning de redes neuronales profundas aplicadas a reconocimiento de atributos, E. Paillao. Universidad Católica de Temuco. 2016.
Análisis Sentimental de Textos en Opiniones Cinematográficas Utilizando las Cadenas Ocultas de Markov, V. Tirapegui. Universidad Católica de Temuco. 2016.
Selección automática de variables relevantes para la predicción de la deserción y graduación universitaria, T. Poblete. Universidad Católica de Temuco. 2015.
Detección de personas basada en aprendizaje profundo utilizando autocodificadores apilados. L. Parra. Universidad Católica de Temuco. 2015.

He guiado 1 tesis de postgrado:

Modelo de contexto adaptivo jerárquico para reconocimiento de objetos. N. Vergaray. UCT. 2016

Actualmente estoy guiando 1 tesis de pregrado y 2 tesis de postgrado en deep learning.

He participado de actividades de comunicacion de proyecto Fondecyt de Iniciacion 2016 en Universidad Catolica de Temuco

Beca CONICYT

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Chile, 2012

Beca para estudios de doctorado.
Proyecto FONDECYT de Iniciacion

UNIVERSIDAD CATOLICA DE TEMUCO

Chile, 2014

Proyecto seleccionado para financiamiento de FONDECYT de Iniciacion 1114092
Quinto Superior

UNIVERSIDAD NACIONAL TRUJILLO

Peru, 2004

Quinto Superior entre egresados de mi carrera profesional de pregrado.

Buscar:


Gender screening on question-answering communities Figueroa, Alejandro; Nicolis, Orietta Article ISI EXPERT SYSTEMS WITH APPLICATIONS (2023)
Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile Soria, Richard; Nicolis, Orietta; Bronfman, Andres Article ISI SENSORS (2023)
Space-Time Prediction of PM2.5 Concentrations in Santiago de Chile Using LSTM Networks Nicolis, Orietta Article ISI APPLIED SCIENCES-BASEL (2022)
Spatio-Temporal Seismicity Prediction in Chile Using a Multi-Column ConvLSTM Gonzalez Fuentes, Alex; Nicolis, Orietta Article ISI IEEE ACCESS (2022)
Co-Training for Visual Object Recognition Based on Self-Supervised Models Using a Cross-Entropy Regularization Diaz, Gabriel; Nicolis, Orietta Article ISI ENTROPY (2021)
Coming to Grips with Age Prediction on Imbalanced Multimodal Community Question Answering Data Figueroa, Alejandro; Nicolis, Orietta Article ISI INFORMATION (2021)
Gender Identification From Community Question Answering Avatars Figueroa, Alejandro; Nicolis, Orietta; Trewhela, Alvaro Article ISI IEEE ACCESS (2021)
Predicción de casos de COVID-19 y modelo de localización asignación de bases y ambulancias considerando factores de vulnerabilidad Samantha Reid Calderón; Orietta Nicolis; Billy Peralta; Franco Menares Article SCIELO INGENIARE. REVISTA CHILENA DE INGENIERIA (2021)
Prediction of COVID-19 cases and location-allocation optimization model for bases and ambulances considering vulnerability factors \| [Predicción de casos de COVID-19 y modelo de localización asignación de bases y ambulancias considerando factores de vulnerabilidad] Nicolis, Orietta Article SCOPUS INGENIARE. REVISTA CHILENA DE INGENIERIA (2021)
Detection of Anomalous Pollution Sensors Using Deep Learning Strategies Schiappacasse, N. Article SCOPUS (2020)
Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks Esquivel, Nicolas; Nicolis, Orietta; Mateu, Jorge Article ISI IEEE ACCESS (2020)
Mixture of Experts with Entropic Regularization for Data Classification Peralta, Billy; Saavedra, Ariel; Soto, Alvaro. Article ISI SCOPUS ENTROPY (2019)
Unsupervised local regressive attributes for pedestrian re-identification Peralta, B; Caro, L Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
A proposal for supervised clustering with Dirichlet Process using labels Peralta, B; Caro, A; Soto, A. Article ISI SCOPUS PATTERN RECOGNITION LETTERS (2016)
Improved object recognition with decision trees using subspace clustering Peralta, B; Caro, L.A. Article SCOPUS Journal of Advanced Computational Intelligence and Intelligent Informatics (2016)
Multi-target tracking with sparse group features and position using discrete-continuous optimization Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015)
Embedded local feature selection within mixture of experts Peralta, B; Soto, A. Article ISI SCOPUS INFORMATION SCIENCES (2014)
Enhancing K-Means using class labels Peralta, B; Espinace P.; Soto, A. Article ISI SCOPUS Intelligent Data Analysis (2013)

Buscar:


A Proposal of Neural Networks with Intermediate Outputs ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models Tirapegui V. ConferencePaper ISI SCOPUS SOCIAL COMPUTING AND SOCIAL MEDIA: APPLICATIONS IN EDUCATION AND COMMERCE, SCSM 2022, PT II (2019)
Crime Level Prediction using Stacked Maps with Deep Convolutional Autoencoder Esquivel N. ConferencePaper SCOPUS Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020 (2019)
Outlier Detection on Vehicle Trajectories in Santiago, Chile using Unsupervised Deep Learning ConferencePaper SCOPUS Proceedings - International Conference of the Chilean Computer Science Society, SCCC (2019)
Predictions of PM2.5 concentrations and critical events in Santiago, Chile using Recurrent Neural Networks Sepúlveda, T. ConferencePaper SCOPUS Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020 (2019)
Recurrent Neural Networks applied to Forecasting of Speed of Freight Transport in Dense Areas of Santiago, Chile Montecinos D. ConferencePaper SCOPUS Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020 (2019)
A proposal of adaptive probabilistic model of context applied to visual recognition ConferencePaper Indexación SCOPUS (2018)
Distributed mixture-of-experts for Big Data using PETUUM framework Peralta, B; Herrera, O; Caro, L ConferencePaper SCOPUS Proceedings - International Conference of the Chilean Computer Science Society, SCCC (2018)
A Proposal for Mixture of Experts with Entropic Regularization Peralta, B; Caro, L ConferencePaper ISI SCOPUS 2017 XLIII Latin American Computer Conference (CLEI) (2017)
Automatic feature selection for desertion and graduation prediction: A chilean case ConferencePaper SCOPUS Proceedings - International Conference of the Chilean Computer Science Society, SCCC (2017)
Evaluation of stacked autoencoders for pedestrian detection ConferencePaper SCOPUS Proceedings - International Conference of the Chilean Computer Science Society, SCCC (2017)
Real-time recognition of arm motion using artificial neural network multi-perceptron with arduino one microcontroller and EKG/EMG shield sensor Caro, L.A.; Silva C.; Peralta, B; Barrientos, S ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015)
Visual recognition to access and analyze people density and flow patterns in indoor environments Ruz, C; Pieringer, C.; Peralta, B; Lillo, I; Espinace P.; González R.; Wendt B.; Mery, D; Soto, A. ConferencePaper SCOPUS Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015 (2015)
Adaptive hierarchical contexts for object recognition with conditional mixture of trees Peralta, B; Espinace P.; Soto, A. ConferencePaper ISI SCOPUS BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012 (2012)
Mixing Hierarchical Contexts for Object Recognition Peralta, B; Soto, A. ConferencePaper ISI SCOPUS SOCIAL COMPUTING AND SOCIAL MEDIA: APPLICATIONS IN EDUCATION AND COMMERCE, SCSM 2022, PT II (2011)

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EFFICIENT OBJECT RECOGNITION USING MACHINE LEARNING TECHNIQUES FOR BIG DATA ERA FONDECYT (11140892) Proyecto 2014-2017 Inv. Responsable
Medición de flujos y densidades espaciales de clientes en grandes tiendas de retail usando múltiples cámaras de video FONDEF (FONDEF D10) Proyecto 2012-2014 Investigador(a)
Millennium Nucleus in Plant Functional Genomics Millenium (0) Proyecto 2009-2009 Investigador(a)
A mobile robot using a decision theoretical planner based on Hierarchical and spatio-temporal reasoning to adaptively communicate relevant content FONDECYT (Fondecyt-1) Proyecto 2008-2008 Tesista