Man

José Nibaldo Rodriguez Agurto

profesor

Pontificia Universidad Católica de Valparaíso

valparaiso, Chile

Líneas de Investigación


Time Frequency Analysis Machine learning Diagnosis methods

Educación

  •  informática, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 1998
  •  matematica y computación, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 1994
  •  profesor de estado matematica y computacion, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 1994
  •  ciencias de la ingenieria mención automática, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2002

Experiencia Académica

  •   adjunto Full Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO

    ingenieria

    valpariso, Chile

    2002 - A la fecha


 

Article (8)

Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis
Stationary Wavelet-Fourier Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis
Local Search Algorithms for the Beam Angles Selection Problem in Radiotherapy
The potential of non-invasive pre- and post-mortem carcass measurements to predict the contribution of carcass components to slaughter yield of guinea pigs
A Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain
Extreme Learning Machine Based on Stationary Wavelet Singular Values for Bearing Failure Diagnosis
Stationary Wavelet Singular Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis
Hybrid Models Based on Singular Values and Autoregressive Methods for Multistep Ahead Forecasting of Traffic Accidents

EditorialMaterial (1)

Optimization Algorithms Combining (Meta)heuristics and Mathematical Programming and Its Application in Engineering

Proyecto (4)

Multi-step-ahead Forecasting Based on High and Low Frequency For Fisheries Time Series
Modelo Multiescala MIMO Basado en Analisis Wavelet para Pronostico de Series de Tiempo de Pesquerias
HARMONIC COEFFICIENTS FORECASTING OF NON-STATIONARY TIME SERIES TO SUPPORT THE MANAGEMENT OF THE SMALL PELAGIC FISHING IN CHILE
Harmonic Coeficients Forecasting of Non-stationary Time Series to Support the Management of the Small Pelagic Fishing in Chile
9
José Rodriguez

profesor

informatica

Pontificia Universidad Católica de Valparaíso

valparaiso, Chile

5
Guillermo Cabrera

Profesor

Ingeniería Informática

Pontificia Universidad Catolica de Valparaiso

Valparaíso, Chile