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Sergio Ivan Hernandez Alvarez

UNIVERSIDAD CATOLICA DEL MAULE

Talca, Chile

data mining; machine learning

Computer Science, VICTORIA UNIVERSITY OF WELLINGTON. Nueva Zelanda, 2010
Informatica, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2005


Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo Valdenegro-Toro M. Article ISI SCOPUS Soft Computing (2020)
Robust single target tracking using determinantal point process observations Sallis P. Article SCOPUS International Journal on Smart Sensing and Intelligent Systems (2020)
Probability hypothesis density filter using determinantal point processes for multi object tracking Article ISI SCOPUS COMPUTER VISION AND IMAGE UNDERSTANDING (2019)
Multi target tracking using determinantal point processes Jorquera F. Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
A machine-learning algorithm for wind gust prediction Sallis, PJ; Claster W.; Hernandez S. Article ISI SCOPUS Computers and Geosciences (2011)
Bayesian multiple person tracking using probability hypothesis density smoothing Hernandez S.; Frean M. Article SCOPUS International Journal on Smart Sensing and Intelligent Systems (2011)
Geospatial state space estimation using an ensemble Kalman Filter Sallis P.; Hernandez S. Article SCOPUS International Journal of Simulation: Systems, Science and Technology (2010)
Neuro-fuzzy method for automated defect detection in aluminium castings Hernandez S.; Saez D.; Mery D. Article ISI SCOPUS PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, IWAIPR 2018 (2004)


Multinomial Naive Bayes for real-time gender recognition ConferencePaper ISI SCOPUS 2019 XXII SYMPOSIUM ON IMAGE, SIGNAL PROCESSING AND ARTIFICIAL VISION (STSIVA) (2016)
Distributed minimum temperature prediction using mixtures of gaussian processes Hernandez S.; Sallis P. ConferencePaper SCOPUS IFIP Advances in Information and Communication Technology (2015)
Combining environmental information from multiple and disparate data sources for minimum temperature prediction Hernandez S.; Baltierra S.; Becerra G.; Sallis P. ConferencePaper SCOPUS IET Seminar Digest (2014)
Likelihood Function for Multi-target Color Tracking Using Discrete Finite Mixtures Hernandez S.; Hernandez M. ConferencePaper ISI PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, IWAIPR 2018 (2014)
Bayesian model averaging for estimating non-stationary soil moisture data Hernandez S.; Sallis P. ConferencePaper ISI 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013) (2013)
A signal denoising method for text meaning vectors Hernandez S.; Sallis P.; Garden K. ConferencePaper 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES (2011)
Estimation of Reference Evapotranspiration Using Limited Climatic Data And Bayesian Model Averaging Hernandez S.; Morales L.; Sallis P. ConferencePaper ISI SCOPUS Proceedings - UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011 (2011)
Sentiment-preserving reduction for social media analysis Hernandez S.; Sallis P. ConferencePaper PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, IWAIPR 2018 (2011)
Ensemble interpolation methods for spatio-temporal data modelling Sallis P.; Hernandez S. ConferencePaper 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES (2010)

1

Doris Saez

Full Professor

Electrical Engineering

Universidad de Chile

Santiago, Chile

1

DOMINGO MERY

Profesor Titular

Computación

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

18

Sergio Hernandez

UNIVERSIDAD CATOLICA DEL MAULE

Talca, Chile

1

LUIS MORALES

Académico

Ciencias Ambientales y Recursos Naturales Renovables

UNIVERSIDAD DE CHILE

SANTIAGO, Chile

1

Sergio Baltierra

Coordinador de Prácticas y Titulación

Facultad de Ingeniería

Universidad Autónoma de Chile

Talca, Chile