Basic-Evolutive Algorithms for Neural Networks Architecture Configuration and Training. - Juan Seijas; José L. Sanz-González (ISCAS, 1995)

Genetic Algorithms: Two Different Elitism Operators for Stochastic and Deterministic Applications. - Juan Seijas; Carmen Morató; José L. Sanz-González (PPAM, 2001)

Importance Sampling and Mean Square Error in Neural Detector Training. - José L. Sanz-González; Diego Andina; Juan Seijas (Neural Process. Lett., 2002)

Improving the Efficiency of Multiple Sequence Alignment by Genetic Algorithms. - Juan Seijas; Carmen Morató; Diego Andina; Antonio Vega-Corona (IWANN (2), 2003)

Wavelet Time Shift Properties Integration with Support Vector Machines. - Jaime Gómez; Ignacio Melgar; Juan Seijas (MDAI, 2004)

Optimum Signal Linear Detector in the Discrete Wavelet Transform-Domain - Ignacio Melgar; Jaime Gómez; Juan Seijas (CoRR, 2005)

Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines - Jaime Gómez; Ignacio Melgar; Juan Seijas; Diego Andina (CoRR, 2005)

Upgrading Pulse Detection with Time Shift Properties Using Wavelets and Support Vector Machines - Jaime Gómez; Ignacio Melgar; Juan Seijas (CoRR, 2005)

Combining edge detection algorithms in intensity SAR images. - Juan Fombellida; Ignacio Melgar; Juan Seijas (INDIN, 2009)

Swarm architectures for Ground-based Air Defense Systems of Systems. - Ignacio Melgar; Juan Fombellida; Aleksandar Jevtic; Juan Seijas (INDIN, 2009)

Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters. - Joel Quintanilla-Domínguez; Benjamín Ojeda-Magaña; Juan Seijas; Antonio Vega-Corona; Diego Andina (IWANN (1), 2009)

Robustness of artificial metaplasticity learning algorithm. - Diego Andina; Santiago Torres-Alegre; Martin J. Alarcon; Juan Seijas; Marta de Pablos Álvaro (Neurocomputing, 2015)