A Recurrent Neural Network Model for the p-hub Problem. - Enrique Domínguez; José Muñoz; Enrique Mérida Casermeiro (IWANN (2), 2003)

RealNet: a neural network architecture for real-time systems scheduling. - Enrique Domínguez; José M. Jerez; Luis Llopis; Arturo Morante (Neural Comput. Appl., 2004)

Applying Bio-inspired Techniques to the p-Median Problem. - Enrique Domínguez; José Muñoz (IWANN, 2005)

Comparative analysis of modern optimization tools for the p-median problem. - Enrique Alba 001; Enrique Domínguez (Stat. Comput., 2006)

Solving Clustering Problems Using Hybrid Approaches. - Enrique Domínguez; José Muñoz (GEM, 2007)

An Intrusion Detection System Based on Hierarchical Self-Organization. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (CISIS, 2008)

A Dipolar Competitive Neural Network for Video Segmentation. - Rafael Marcos Luque; Domingo López-Rodríguez; Enrique Domínguez; Esteban J. Palomo (IBERAMIA, 2008)

A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. - Rafael Marcos Luque Baena; Enrique Domínguez; Domingo López-Rodríguez; Esteban J. Palomo (ICANN (1), 2008)

A New GHSOM Model Applied to Network Security. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICANN (1), 2008)

A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (ICIAR, 2008)

A Competitive Neural Network for Intrusion Detection Systems. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (MCO, 2008)

Detecting Critical Situation in Public Transport. - Rafael Marcos Luque; Francisco L. Valverde; Enrique Domínguez; Esteban J. Palomo; José Muñoz (PRIS, 2008)

A neural model for the p-median problem. - Enrique Domínguez; José Muñoz (Comput. Oper. Res., 2008)

A Hybrid Algorithm for Solving Clustering Problems. - Enrique Domínguez; José Muñoz (Innovations in Hybrid Intelligent Systems, 2008)

A Self-Organized Multiagent System for Intrusion Detection. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ADMI, 2009)

Network Security Using Growing Hierarchical Self-Organizing Maps. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICANNGA, 2009)

Spam Detection Based on a Hierarchical Self-Organizing Map. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICIC (2), 2009)

Image Hierarchical Segmentation Based on a GHSOM. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICONIP (1), 2009)

A Neural Recognition System for Manufactured Objects. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (IWANN (2), 2009)

An ART-type network approach for video object detection. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (ESANN, 2010)

Web Document Clustering based on a Hierarchical Self-Organizing Model. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ESANN, 2010)

A Recurrent Neural Network for Channel Assignment Problems in Mobiles. - Gracián Triviño; José Muñoz; Enrique Domínguez (IBERAMIA, 2010)

An anomaly detection system using a GHSOM-1. - Esteban J. Palomo; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; Rafael Marcos Luque (IJCNN, 2010)

A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem. - Gracián Triviño; José Muñoz; Enrique Domínguez (AIAI, 2011)

Image compression based on growing hierarchical Self-Organizing Maps. - Esteban J. Palomo; Enrique Domínguez (IJCNN, 2011)

Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. - Rafael Marcos Luque; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo (IWANN (2), 2011)

Lossy Image Compression Using a GHSOM. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (IWANN (2), 2011)

Video and Image Processing with Self-Organizing Neural Networks. - José García Rodríguez 001; Enrique Domínguez; Anastassia Angelopoulou; Alexandra Psarrou; Francisco José Mora-Gimeno; Sergio Orts; Juan Manuel García Chamizo (IWANN (2), 2011)

Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps. - Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez (Int. J. Neural Syst., 2011)

SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. - Esteban J. Palomo; David A. Elizondo; Enrique Domínguez; Rafael Marcos Luque; Tim Watson (Computational Intelligence for Privacy and Security, 2012)

A Self-organizing Map for Traffic Flow Monitoring. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban José Palomo; José Manuel Jerez (IWANN (2), 2013)

Hierarchical Self-Organizing Networks for Multispectral Data Visualization. - Esteban José Palomo; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena (IWANN (2), 2013)

3D Hand Pose Estimation with Neural Networks. - Jose Antonio Serra; José García Rodríguez 001; Sergio Orts-Escolano; Juan Manuel García Chamizo; Anastassia Angelopoulou; Alexandra Psarrou; Markos Mentzelopoulos; Javier Montoyo-Bojo; Enrique Domínguez (IWANN (2), 2013)

A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. - Rafael Marcos Luque Baena; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo (Neural Process. Lett., 2013)

Image Compression and Video Segmentation Using Hierarchical Self-Organization. - Esteban J. Palomo; Enrique Domínguez; Rafael M. Luque-Baena; José Muñoz (Neural Process. Lett., 2013)

Color space selection for self-organizing map based foreground detection in video sequences. - Francisco Javier López-Rubio; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Esteban J. Palomo (IJCNN, 2014)

Bregman Divergences for Growing Hierarchical Self-Organizing Networks. - Ezequiel López-Rubio; Esteban José Palomo; Enrique Domínguez (Int. J. Neural Syst., 2014)

Hierarchical Color Quantization Based on Self-organization. - Esteban J. Palomo; Enrique Domínguez (J. Math. Imaging Vis., 2014)

Visualization of Complex Datasets with the Self-Organizing Spanning Tree. - Ezequiel López-Rubio; Esteban José Palomo; Rafael Marcos Luque Baena; Enrique Domínguez (IWANN (1), 2015)

Robust self-organization with M-estimators. - Ezequiel López-Rubio; Esteban J. Palomo; Enrique Domínguez (Neurocomputing, 2015)

A self-organizing map to improve vehicle detection in flow monitoring systems. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo; José M. Jerez (Soft Comput., 2015)

Frame Size Reduction for Foreground Detection in Video Sequences. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Esteban J. Palomo; Enrique Domínguez (CAEPIA, 2016)

Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Esteban J. Palomo (SOCO-CISIS-ICEUTE, 2016)

Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video. - Francisco Javier López-Rubio; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Rafael Marcos Luque Baena (Neural Process. Lett., 2016)

Neural controller for PTZ cameras based on nonpanoramic foreground detection. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Karl Thurnhofer-Hemsi (IJCNN, 2017)

Panoramic background modeling for PTZ cameras with competitive learning neural networks. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (IJCNN, 2017)

Vehicle Classification in Traffic Environments Using the Growing Neural Gas. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; José Muñoz-Pérez (IWANN (2), 2017)

Unsupervised Color Quantization with the Growing Neural Forest. - Esteban José Palomo; Jesús Benito-Picazo; Ezequiel López-Rubio; Enrique Domínguez (IWANN (2), 2017)

Motion Detection by Microcontroller for Panning Cameras. - Jesús Benito-Picazo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; Esteban J. Palomo (IWINAC (2), 2017)

Developing Cooperative Evaluation Methodologies in Higher Education. - Enrique Domínguez; Ezequiel López-Rubio (SOCO-CISIS-ICEUTE, 2017)

Growing Neural Forest-Based Color Quantization Applied to RGB Images. - Jesús Benito-Picazo; Ezequiel López-Rubio; Enrique Domínguez (Int. J. Comput. Vis. Image Process., 2017)

A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. - Miguel A. Molina-Cabello; Rafael M. Luque-Baena; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez (Int. J. Comput. Vis. Image Process., 2017)

Dynamic tree topology learning by self-organization. - Ezequiel López-Rubio; Rafael M. Luque-Baena; Esteban J. Palomo; Enrique Domínguez (Neural Comput. Appl., 2017)

Real-Time Robot Vision on Low-Performance Computing Hardware. - Gongjin Lan; Jesús Benito-Picazo; Diederik M. Roijers; Enrique Domínguez; A. E. Eiben (ICARCV, 2018)

Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato (IJCNN, 2018)

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Núria Roé-Vellvé; Enrique Domínguez; Miguel A. Molina-Cabello (IJCNN, 2018)

Foreground Detection Enhancement Using Pearson Correlation Filtering. - Rafael Marcos Luque Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio; Enrique Domínguez (IPMU (3), 2018)

The effect of noise on foreground detection algorithms. - Francisco Javier López-Rubio; Ezequiel López-Rubio; Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Esteban J. Palomo; Enrique Domínguez (Artif. Intell. Rev., 2018)

Panorama construction for PTZ camera surveillance with the neural gas network. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (Expert Syst. J. Knowl. Eng., 2018)

Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael M. Luque-Baena; Enrique Domínguez; Esteban J. Palomo (Log. J. IGPL, 2018)

Foreground Detection by Competitive Learning for Varying Input Distributions. - Ezequiel López-Rubio; Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Enrique Domínguez (Int. J. Neural Syst., 2018)

Cooperative Evaluation Using Moodle. - Enrique Domínguez; Ezequiel López-Rubio; Miguel A. Molina-Cabello (CISIS-ICEUTE, 2019)

Diabetic Wound Segmentation using Convolutional Neural Networks. - Can Cui; Karl Thurnhofer-Hemsi; Reza Soroushmehr; Abinash Mishra; Jonathan Gryak; Enrique Domínguez; Kayvan Najarian; Ezequiel López-Rubio (EMBC, 2019)

Infering Air Quality from Traffic Data Using Transferable Neural Network Models. - Miguel A. Molina-Cabello; Benjamin N. Passow; Enrique Domínguez; David A. Elizondo; Jolanta Obszynska (IWANN (1), 2019)

Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. - Karl Thurnhofer-Hemsi; Enrique Domínguez (IWANN (2), 2019)

Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio (IWINAC (2), 2019)

Motion detection with low cost hardware for PTZ cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato (Integr. Comput. Aided Eng., 2019)

Piecewise Polynomial Activation Functions for Feedforward Neural Networks. - Ezequiel López-Rubio; Francisco Ortega-Zamorano; Enrique Domínguez; José Muñoz-Pérez (Neural Process. Lett., 2019)

Human gait model based on a machine learning and filtering noisy signals with recursive algorithm. - P. Diego Teran; Enrique Domínguez (BIBM, 2020)

Image Clustering Using a Growing Neural Gas with Forbidden Regions. - Jesús Benito-Picazo; Esteban J. Palomo; Enrique Domínguez; Antonio Díaz Ramos (IJCNN, 2020)

Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio (Integr. Comput. Aided Eng., 2020)

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Núria Roé-Vellvé (Neurocomputing, 2020)

Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. - Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Enrique Domínguez; Ezequiel López-Rubio; Esteban J. Palomo (CISIS-ICEUTE, 2021)

Peer Assessments in Engineering: A Pilot Project. - Karl Thurnhofer-Hemsi; Miguel A. Molina-Cabello; Esteban J. Palomo; Ezequiel López-Rubio; Enrique Domínguez (CISIS-ICEUTE, 2021)

Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Gonzalo Ramos-Jiménez; Ezequiel López-Rubio (IJCNN, 2021)

Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. - Karl Thurnhofer-Hemsi; Rosa Maza-Quiroga; Enrique Domínguez; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IJCNN, 2021)

Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. - Esteban J. Palomo; Jesús Benito-Picazo; Enrique Domínguez; Ezequiel López-Rubio; Francisco Ortega-Zamorano (SOCO, 2021)

Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; David A. Elizondo (IEEE Access, 2021)

A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. - Karl Thurnhofer-Hemsi; Enrique Domínguez (Neural Process. Lett., 2021)

Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review. - Nameer Mezher Baht; Enrique Domínguez (ECAI, 2022)

Enhanced Perspective Generation by Consensus of NeX neural models. - Marcos Sergio Pacheco dos Santos Lima Junior; Jose David Fernández Rodriguez; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Enrique Domínguez (IJCNN, 2022)

Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. - Ricardo Javier Fuentes-Fino; Saúl Calderón Ramírez; Enrique Domínguez; Ezequiel López-Rubio; Marco A. Hernandez-Vasquez; Miguel A. Molina-Cabello (IWBBIO (2), 2022)

Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. - Jorge García-González; Iván García Aguilar; Daniel Medina; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez (SOCO, 2022)

Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. - Iván García Aguilar; Lipika Deka; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (IWANN (1), 2023)

Photovoltaic Energy Prediction Using Machine Learning Techniques. - Gonzalo Surribas Sayago; Jose David Fernández Rodriguez; Enrique Domínguez (IWANN (1), 2023)

Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. - Jesús Benito-Picazo; Jose David Fernández Rodriguez; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio (SOCO (2), 2023)

Optimized instance segmentation by super-resolution and maximal clique generation. - Iván García Aguilar; Jorge García-González; Rafael M. Luque-Baena; Ezequiel López-Rubio; Enrique Domínguez (Integr. Comput. Aided Eng., 2023)

A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. - José David Fernández-Rodríguez; Esteban J. Palomo; Jesús Benito-Picazo; Enrique Domínguez; Ezequiel López-Rubio; Francisco Ortega-Zamorano (Neurocomputing, 2023)

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation. - Iván García Aguilar; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (Sensors, 2023)

An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. - Ricardo Javier Fuentes-Fino; Saúl Calderón Ramírez; Enrique Domínguez; Ezequiel López-Rubio; David A. Elizondo; Miguel A. Molina-Cabello (Neural Comput. Appl., 2023)

Human Gait Activity Recognition Using Multimodal Sensors. - Diego Teran-Pineda; Karl Thurnhofer-Hemsi; Enrique Domínguez (Int. J. Neural Syst., 2023)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - J. M. Górriz; I. Álvarez Illán; Agustín Álvarez-Marquina; Juan Eloy Arco; Martin Atzmüller; F. Ballarini; Emilia I. Barakova; Guido Bologna; María Paula Bonomini; Germán Castellanos-Domínguez; Diego Castillo-Barnes; S. B. Cho; et al. (Inf. Fusion, 2023)

Applying Deep Learning Based Super-Resolution to Knee Imaging. - Alvaro Rey-Blanes; Enrique Domínguez (AIiH (2), 2024)

Advancing Photovoltaic Forecasting with Neural Networks: Integrating N-Beats and Sequential Models with Fourier Analysis. - Gonzalo Surribas Sayago; Jose David Fernández Rodriguez; Enrique Domínguez (IBERAMIA, 2024)

Deep Learning Models for Gait Event Prediction. - Diego Teran-Pineda; Karl Thurnhofer-Hemsi; José David Fernández-Rodríguez; Enrique Domínguez (IJCNN, 2024)

Novel Positional Encoding Methods for Neural Rendering. - Daniel Molina-Pinel; Jorge García-González; Enrique Domínguez; Ezequiel López-Rubio (SOCO (2), 2024)

Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. - Iván García Aguilar; Jorge García-González; Daniel Medina; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (Neurocomputing, 2024)

Skin Lesion Hybrid Classification and Segmentation Based on Extracted Deep Features. - Aboubakr Aakaou; Karl Thurnhofer-Hemsi; Enrique Domínguez (AIiH (2), 2025)