Least squares support vector machines and primal space estimation. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (CDC, 2003)

Bankruptcy prediction with least squares support vector machine classifiers. - Tony Van Gestel; Bart Baesens; Johan A. K. Suykens; Marcelo Espinoza; Dirk-Emma Baestaens; Jan Vanthienen; Bart De Moor (CIFEr, 2003)

Partially linear models and least squares support vector machines. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (CDC, 2004)

Imposing Symmetry in Least Squares Support Vector Machines Regression. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (CDC/ECC, 2005)

Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (IWANN, 2005)

Clustering time series, subspace identification and cepstral distances. - Jeroen Boets; Katrien De Cock; Marcelo Espinoza; Bart De Moor (Commun. Inf. Syst., 2005)

Primal-Dual Monotone Kernel Regression. - Kristiaan Pelckmans; Marcelo Espinoza; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neural Process. Lett., 2005)

Kernel based partially linear models and nonlinear identification. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Autom. Control., 2005)

A minimal model for glycemia control in critically ill patients. - Tom Van Herpe; Bert Pluymers; Marcelo Espinoza; Greet Van den Berghe; Bart De Moor (EMBC, 2006)

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting. - Marcelo Espinoza; Johan A. K. Suykens; Bart De Moor (Comput. Manag. Sci., 2006)

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. - Carlos Alzate; Marcelo Espinoza; Bart De Moor; Johan A. K. Suykens (ICANN (2), 2009)