Man

José Angel Vásquez Coronel

Docente Par-Time

Universidad Católica del Maule

Talca, Chile

Líneas de Investigación


Numerical Analysis; Pattern Recognition; Machine Learning; Image Processing; Neural Networks, Deep Learning; Mathematical Optimisation

Educación

  •  Licenciado en Matemáticas, Universidad Nacional Pedro Ruíz Gallo. Peru, 2015
  •  Magister en Matemática Aplicada, UNIVERSIDAD DEL BIO-BIO. Chile, 2017
  •  Doctor en Modelamiento Matemático Aplicado, UNIVERSIDAD CATÓLOICA DEL MAULE. Chile, 2023

Experiencia Académica

  •   Docente Part Time

    UNIVERSIDAD DEL BIO-BIO

    Concepción, Chile

    2015 - 2018

  •   Docente Part Time

    Universidad Católica de la Santísima Concepción

    Concepción, Chile

    2017 - 2018

  •   Docente Part Time

    UNIVERSIDAD CATÓLICA DEL MAULE

    CIENCIAS BÁSICAS

    TALCA, Chile

    2023 - A la fecha

Experiencia Profesional

  •   Docente Part Time

    Universidad del Bío - Bío

    Concepción, Chile

    2015 - 2018

  •   Docente Part Time

    Universidad Católica de la Santísima Concepción

    Concepción, Chile

    2018 - 2018

  •   Docente Part Time

    Universidad Católica del Maule

    Talca, Chile

    2023 - A la fecha


 

Article (10)

Prediction of survival of Pinus radiata seedlings subjected to physical-water restriction extreme using learn- ing neural networks.
Classification of Parkinson’s disease patients based on spec- trogram using local binary pattern descriptors.
Training of an Extreme Learning Machine Autoencoder Based on an Iterative Shrinkage-Thresholding Optimization Algorithm
Generating Style-based Palm Vein Synthetic Images for the Creation of Large-Scale Datasets.
Automatic Generation of Synthetic Palm Vein Images: a Nature-based Approach.
A model for incompressible fluids using finite element methods for the Brinkman problem
Conditioning of extreme learning machine for noisy data using heuristic optimization
Extreme learning machine adapted to noise based on optimization algorithms
Analysis of a Galerkin scheme to avoid the locking phenomenon: solid-fluid interaction problem. In Journal of Physics
Writer verification based on simple graphemes and extreme learning machine approaches.
10
José Vásquez

Docente Par-Time

Departamento de Matemática, Física y Estadística

Universidad Católica del Maule

Talca, Chile

1
Marco Mora

Academico

Universidad Católica del Maule

Talca, Chile

1
Karina Vilches

Auxiliar

Computación e Industrias

Universidad Católica del Maule

Talca, Chile