Kernel Density-Based Pattern Classification in Blind Fasteners Installation. - Alberto Diez-Olivan; Mariluz Penalva; Fernando Veiga; Lutz Deitert; Ricardo Sanz; Basilio Sierra (HAIS, 2017)

Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score. - Alberto Diez-Olivan; José A. Pagán; Ricardo Sanz; Basilio Sierra (Neurocomputing, 2017)

Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming. - Alberto Diez-Olivan; Xavier Averós; Ricardo Sanz; Basilio Sierra; Inma Estevez (Comput. Electron. Agric., 2019)

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0. - Alberto Diez-Olivan; Javier Del Ser; Diego Galar; Basilio Sierra (Inf. Fusion, 2019)

Deep evolutionary modeling of condition monitoring data in marine propulsion systems. - Alberto Diez-Olivan; José A. Pagán; Ricardo Sanz; Basilio Sierra (Soft Comput., 2019)

Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks. - Patxi Ortego; Alberto Diez-Olivan; Javier Del Ser; Basilio Sierra (IDEAL (2), 2020)

Evolutionary LSTM-FCN networks for pattern classification in industrial processes. - Patxi Ortego; Alberto Diez-Olivan; Javier Del Ser; Fernando Veiga; Mariluz Penalva; Basilio Sierra (Swarm Evol. Comput., 2020)

Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions. - Alberto Diez-Olivan; Patxi Ortego; Javier Del Ser; Itziar Landa-Torres; Diego Galar; David Camacho; Basilio Sierra (IEEE Trans. Ind. Informatics, 2021)