Marcelo Espinoza

发表

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering

Johan A. K. Suykens, Bart De Moor, Carlos Alzate, 2009, ICANN.

Load Forecasting Using Fixed-Size Least Squares Support Vector Machines

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2005, IWANN.

Clustering time series, subspace identification and cepstral distances

Marcelo Espinoza, B. De Moor, Jeroen Boets, 2005, Commun. Inf. Syst..

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2006, Comput. Manag. Sci..

ADAPTIVE MODELING FOR CONTROL OF GLYCEMIA IN CRITICALLY ILL PATIENTS

Bart De Moor, Greet Van den Berghe, Marcelo Espinoza, 2007 .

Vinculando el Repositorio Institucional Dspace con la Plataforma Virtual Moodle

Marcelo Espinoza, Liliana Raquel Cuenca Pletsch, Manuel Zubieta, 2015 .

Bankruptcy prediction with least squares support vector machine classifiers

Johan A. K. Suykens, Bart De Moor, Bart Baesens, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

Primal-Dual Monotone Kernel Regression

Johan A. K. Suykens, Bart De Moor, Kristiaan Pelckmans, 2005, Neural Processing Letters.

Structured Kernel Based Modeling: An Exploration in Short-Term Load Forecasting

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2006 .

Local Load Analysis with Periodic Time Series and Temperature Adjustment

Bart De Moor, Ronnie Belmans, Marcelo Espinoza, 2005 .

Electric Load Forecasting: Using Kernel-Based Modeling for Nonlinear System Identification

Johan A. K. Suykens, Ronnie Belmans, Bart De Moor, 2007 .

Model Structure Determination and Identification with Kernel Based Partially Linear Models

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2004 .

Optimal placement and sizing of distributed generator units using genetic optimization algorithms

Johan Driesen, Marcelo Espinoza, Bert Pluymers, 2005 .

Kernel based partially linear models and nonlinear identification

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2005, IEEE Transactions on Automatic Control.

USING KERNEL-BASED MODELING FOR NONLINEAR SYSTEM IDENTIFICATION

Bart De Moor, Ronnie Belmans, Marcelo Espinoza, 2007 .

A Perturbation Analysis using Second Order Cone Programming for Robust Kernel Based Regression

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2008 .

Short Term Chaotic Time Series Prediction using Symmetric LS-SVM Regression

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2005 .

A minimal model for glycemia control in critically ill patients

Bart De Moor, Bert Pluymers, Marcelo Espinoza, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

DEVELOPMENT OF A CRITICALLY ILL PATIENT INPUT-OUTPUT MODEL

Bart De Moor, Greet Van den Berghe, Bert Pluymers, 2006 .

Bayesian input selection for nonlinear regression with LS-SVMS

Johan A. K. Suykens, Marcelo Espinoza, B. De Moor, 2003 .

LS-SVM REGRESSION WITH AUTOCORRELATED ERRORS

Johan A. K. Suykens, Bart De Moor, Marcelo Espinoza, 2006 .