Modeling and Monitoring Dynamic Systems by Chain Graphs. - Alberto Lekuona; Beatriz Lacruz; Pilar Lasala (AISTATS, 1995)

Approximate Inference and Forecast Algorithms in Graphical Models for Partially Observed Dynamic Systems. - Alberto Lekuona; Beatriz Lacruz; Pilar Lasala (AISTATS, 1997)

Graphical dynamic linear models: specification, use and graphical transformations. - Beatriz Lacruz; Pilar Lasala; Alberto Lekuona (Int. J. Approx. Reason., 2000)

Optimal Transformations in Multiple Linear Regression Using Functional Networks. - Enrique F. Castillo; Ali S. Hadi; Beatriz Lacruz (IWANN (1), 2001)

Selecting dynamic graphical models with hidden variables from data. - Beatriz Lacruz; Pilar Lasala; Alberto Lekuona (Comput. Stat., 2001)

Some Applications of Functional Networks in Statistics and Engineering. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi; Beatriz Lacruz (Technometrics, 2001)

Estimating transition-probabilities in a dynamic graphic model with unobservable variables. - Enrique F. Castillo; Beatriz Lacruz; Pilar Lasala; Alberto Lekuona (IEEE Trans. Reliab., 2001)

A First Approach to Solve Classification Problems Based on Functional Networks. - Rosa Eva Pruneda; Beatriz Lacruz; Cristina Solares (ICANN (2), 2005)

Model Selection in Functional Networks via Genetic Algorithms Genetic Algorithms. - Rosa Eva Pruneda; Beatriz Lacruz (World Congress on Engineering, 2007)

Semi-parametric nonlinear regression and transformation using functional networks. - Enrique F. Castillo; Ali S. Hadi; Beatriz Lacruz; Rosa Eva Pruneda (Comput. Stat. Data Anal., 2008)

A bi-objective micro genetic Extreme Learning Machine. - David Lahoz; Beatriz Lacruz; Pedro M. Mateo (HIMA, 2011)

A multi-objective micro genetic ELM algorithm. - David Lahoz; Beatriz Lacruz; Pedro M. Mateo (Neurocomputing, 2013)

μG2-ELM: An upgraded implementation of μ G-ELM. - Beatriz Lacruz; David Lahoz; Pedro M. Mateo (Neurocomputing, 2016)