A Competitive Neural Network for Blind Separation of Sources Based on Geometric Properties. - Alberto Prieto; Carlos García Puntonet; Beatriz Prieto; Manuel Rodríguez Álvarez (IWANN, 1997)

Separation of sources in a class of post-nonlinear mixtures. - Carlos García Puntonet; Manuel Rodríguez Álvarez; Alberto Prieto; Beatriz Prieto (ESANN, 1998)

A neural learning algorithm for blind separation of sources based on geometric properties. - Alberto Prieto; Carlos García Puntonet; Beatriz Prieto (Signal Process., 1998)

Separation of Speech Signals for Nonlinear Mixtures. - Carlos García Puntonet; Manuel Rodríguez Álvarez; Alberto Prieto; Beatriz Prieto (IWANN (2), 1999)

A stochastic and competitive network for the separation of sources. - Carlos García Puntonet; Ali Mansour; Manuel Rodríguez Álvarez; Beatriz Prieto; Ignacio Rojas Ruiz (ESANN, 2001)

Mapping weblog communities - Juan Julián Merelo Guervós; Beatriz Prieto; Fatima Rateb; Fernando Tricas (CoRR, 2003)

Reconfigurable Hardware Implementation of Neural Networks for Humanoid Locomotion. - Beatriz Prieto; Javier de Lope Asiaín; Darío Maravall (IWINAC (2), 2005)

Analyzing a Web-Based Social Network Using Kohonen's SOM. - Beatriz Prieto; Juan Julián Merelo Guervós; Alberto Prieto; Fernando Tricas (IWANN, 2007)

Visualizing the evolution of a web-based social network. - Beatriz Prieto; Fernando Tricas; Juan Julián Merelo Guervós; Antonio Mora García; Alberto Prieto (J. Netw. Comput. Appl., 2008)

Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines. - Ignacio Álvarez; Juan Manuel Górriz; Javier Ramírez 001; Diego Salas-Gonzalez; Míriam López; Fermín Segovia; Carlos García Puntonet; Beatriz Prieto (IWANN (1), 2009)

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. - Alberto Guillén; Héctor Pomares; Jesús González 001; Ignacio Rojas; Olga Valenzuela; Beatriz Prieto (Neurocomputing, 2009)

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees. - A. M. Trujillo; Ignacio Rojas; Héctor Pomares; Alberto Prieto; Beatriz Prieto; A. Aránega; Francisco Rodríguez; P. J. Álvarez-Aranega; José C. Prados (IEA/AIE (1), 2010)

PCA filtering and probabilistic SOM for network intrusion detection. - Eduardo de la Hoz Correa; Emiro de la Hoz Franco; Andrés Ortiz 001; Julio Ortega Lopera; Beatriz Prieto (Neurocomputing, 2015)

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments. - Francisco M. Ortuño Guzman; Olga Valenzuela; Beatriz Prieto; María José Saéz-Lara; Carolina Torres; Héctor Pomares; Ignacio Rojas (Neurocomputing, 2015)

Neural networks: An overview of early research, current frameworks and new challenges. - Alberto Prieto; Beatriz Prieto; Eva M. Ortigosa; Eduardo Ros 001; Francisco J. Pelayo; Julio Ortega 001; Ignacio Rojas (Neurocomputing, 2016)

Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. - Juan José Escobar; Julio Ortega 001; Jesús González 001; Miguel Damas; Beatriz Prieto (EvoApplications (1), 2017)

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost. - Olga Valenzuela; Beatriz Prieto; Elvira Delgado-Márquez; Héctor Pomares; Ignacio Rojas (UCAmI, 2018)

Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning. - Nasem Badreldin; Beatriz Prieto; Ryan Fisher (Remote. Sens., 2021)

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. - Juan José Escobar; Francisco Rodríguez; Rukiye Savran Kiziltepe; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (IWANN (1), 2023)

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. - Juan José Escobar; Francisco Rodríguez; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (Computing, 2023)

Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. - Juan José Escobar; Jesús López-Rodríguez; Diego García-Gil; Roberto Morcillo-Jiménez; Beatriz Prieto; Andrés Ortiz 001; Dragi Kimovski (IWBBIO (1), 2024)

Five questions and answers about artificial intelligence. - Alberto Prieto; Beatriz Prieto (CoRR, 2024)

Vampire: A smart energy meter for synchronous monitoring in a distributed computer system. - Antonio F. Díaz; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (J. Parallel Distributed Comput., 2024)

Identifying native grasslands and key phenological stages using time series Sentinel-2 data and deep learning models. - Yihan Pu; Amy Nixon; Beatriz Prieto; Xulin Guo (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters. - Juan José Escobar; Pablo Sánchez-Cuevas; Beatriz Prieto; Rukiye Savran Kiziltepe; Fernando Díaz-del-Río; Dragi Kimovski (Future Gener. Comput. Syst., 2025)

Evolution of computing energy efficiency: Koomey's law revisited. - Alberto Prieto; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (Clust. Comput., 2025)