A statistical model selection strategy applied to neural networks. - Joaquín Pizarro Junquera; Elisa Guerrero Vázquez; Pedro L. Galindo (ESANN, 2000)

Multiple Comparison Procedures for Determining the Optimal Complexity of a Model. - Pedro L. Galindo; Joaquín Pizarro Junquera; Elisa Guerrero Vázquez (SSPR/SPR, 2000)

A Penalization Criterion Based on Noise Behaviour for Model Selection. - Joaquín Pizarro Junquera; Pedro Galindo Riaño; Elisa Guerrero Vázquez; Andrés Yáñez Escolano (IWANN (2), 2001)

Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks. - Elisa Guerrero Vázquez; Andrés Yáñez Escolano; Pedro Galindo Riaño; Joaquín Pizarro Junquera (IWANN (2), 2001)

A resampling and multiple testing-based procedure for determining the size of a neural network. - Andrés Yáñez Escolano; Elisa Guerrero Vázquez; Pedro Galindo Riaño; Joaquín Pizarro Junquera (ESANN, 2002)

Noise derived information criterion for model selection. - Joaquín Pizarro Junquera; Pedro L. Galindo; Elisa Guerrero Vázquez; Andrés Yáñez Escolano (ESANN, 2002)

Empirical Performance Assessment of Nonlinear Model Selection Techniques. - Elisa Guerrero Vázquez; Joaquín Pizarro Junquera; Andrés Yáñez Escolano; Pedro Galindo Riaño (IBERAMIA, 2002)

Multiple comparison procedures applied to model selection. - Joaquín Pizarro Junquera; Elisa Guerrero Vázquez; Pedro L. Galindo (Neurocomputing, 2002)

A new Meta Machine Learning (MML) method based on combining non-significant different neural networks. - Andrés Yáñez Escolano; Joaquín Pizarro Junquera; Elisa Guerrero Vázquez; Pedro Galindo Riaño (ESANN, 2003)

A New Penalty-Based Criterion for Model Selection in Regularized Nonlinear Models. - Elisa Guerrero Vázquez; Joaquín Pizarro Junquera; Andrés Yáñez Escolano; Pedro L. Galindo (IWANN (1), 2003)

Model selection methods in multilayer perceptrons. - Elisa Guerrero Vázquez; Pedro L. Galindo; Joaquín Pizarro Junquera; Andrés Yáñez Escolano (IJCNN, 2004)

Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques. - Andrés Yáñez Escolano; Pedro Galindo Riaño; Joaquín Pizarro Junquera; Elisa Guerrero Vázquez (IWANN, 2005)

Genetic Algorithms Applied to the Design of 3D Photonic Crystals. - Agustín Morgado-León; Alejandro Escuín; Elisa Guerrero Vázquez; Andrés Yáñez Escolano; Pedro L. Galindo; Lorenzo Sanchis (IWANN (1), 2011)

Using Deep Learning for Image Similarity in Product Matching. - Mario Rivas-Sánchez; Maria De La Paz Guerrero-Lebrero; Elisa Guerrero Vázquez; Guillermo Bárcena-Gonzalez; Jaime Martel; Pedro L. Galindo (IWANN (1), 2017)

Application of Super-Resolution Techniques to Transmission Electron Microscopy Images. - Guillermo Bárcena-González; Maria De La Paz Guerrero-Lebrero; Elisa Guerrero; D. F. Reyes; B. Nuñez-Moraleda; Mario Rivas-Sánchez; Andrés Yáñez; David González; Pedro L. Galindo (APPIS, 2018)

Topological Homogeneity for Electron Microscopy Images. - Helena Molina-Abril; Fernando Díaz del Río; Maria De La Paz Guerrero-Lebrero; Pedro Real 001; Guillermo Bárcena-Gonzalez; Veronica Braza; Elisa Guerrero Vázquez; David González; Pedro L. Galindo (CTIC, 2019)

AL4LA: Active Learning for Text Labeling Based on Paragraph Vectors. - Damián Nimo-Járquez; Magaly Margarita Narvaez-Rios; Mario Rivas-Sánchez; Andrés Yáñez; Guillermo Bárcena-González; Maria De La Paz Guerrero-Lebrero; Elisa Guerrero; Pedro L. Galindo (IWANN (1), 2019)

SpikeBALL: Neuromorphic Dataset for Object Tracking. - Maria De La Paz Guerrero-Lebrero; Fernando M. Quintana; Elisa Guerrero (IWANN (2), 2023)

Event-Based Regression with Spiking Networks. - Elisa Guerrero; Fernando M. Quintana; Maria De La Paz Guerrero-Lebrero (IWANN (2), 2023)

Release 2.0 - NEMSIM-RT: A real-time distributed spiking neural network simulator. - Fernando M. Quintana; Juan Carlos de la Torre; Guillermo Bárcena-Gonzalez; Maria De La Paz Guerrero-Lebrero; Elisa Guerrero (SoftwareX, 2024)