Study of Two ANN Digital Implementations of a Radar Detector Candidate to an On-Board Satellite Experiment. - Raoul Velazco; Christelle Godin; Ph. Cheynet; Santiago Torres-Alegre; Diego Andina; Mirka B. Gordon (IWANN (2), 1999)

Advances in Neyman-Pearson Neural Detectors Design. - Diego Andina; Santiago Torres-Alegre; Antonio Vega-Corona; Antonio Álvarez-Vellisco (IWANN (2), 2003)

Using self-organizing maps to identify potential halo white dwarfs. - Enrique García-Berro; Santiago Torres-Alegre; Jordi Isern (Neural Networks, 2003)

Application of Artificial Metaplasticity Neural Networks to Cardiac Arrhythmias Classification. - Yasmine Benchaib; Alexis Marcano-Cedeño; Santiago Torres-Alegre; Diego Andina (IWINAC (1), 2013)

Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification. - Juan Fombellida; Santiago Torres-Alegre; Juan Antonio Piñuela-Izquierdo; Diego Andina (IWINAC (2), 2015)

Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database. - Santiago Torres-Alegre; Juan Fombellida; Juan Antonio Piñuela-Izquierdo; Diego Andina (IWINAC (1), 2015)

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

Supervised Metaplasticity for Big Data: Application to Pollutant Concentrations Forecast. - Juan Fombellida; Martin J. Alarcon; Santiago Torres-Alegre; Diego Andina (IWINAC (2), 2017)

Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification. - Santiago Torres-Alegre; Yasmine Benchaib; José Manuel Ferrández de Vicente; Diego Andina (IWINAC (2), 2019)

Tackling business intelligence with bioinspired deep learning. - Juan Fombellida; Irene Martín-Rubio; Santiago Torres-Alegre; Diego Andina (Neural Comput. Appl., 2020)

AMSOM: artificial metaplasticity in SOM neural networks - application to MIT-BIH arrhythmias database. - Santiago Torres-Alegre; Juan Fombellida; Juan Antonio Piñuela-Izquierdo; Diego Andina (Neural Comput. Appl., 2020)