Enrique Domínguez

100 papers A 1B 14C 1Misc 3Journal 33Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid Model of Transfer Learning and Convolutional Neural Networks for Accurate Coffee Leaf Miner (CLM) Classification. Comput. Mater. Continua Nameer Mezher Baht, Enrique Domínguez
2025	J	`jnl`	Detection of coffee leaf disease and identification using deep learning. PeerJ Comput. Sci. Nameer Mezher Baht, Enrique Domínguez, Saif Aljumaili
2025	—	`conf`	Skin Lesion Hybrid Classification and Segmentation Based on Extracted Deep Features. AIiH (2) Aboubakr Aakaou, Karl Thurnhofer-Hemsi, Enrique Domínguez
2024	—	`conf`	Advancing Photovoltaic Forecasting with Neural Networks: Integrating N-Beats and Sequential Models with Fourier Analysis. IBERAMIA Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez
2024	—	`conf`	Applying Deep Learning Based Super-Resolution to Knee Imaging. AIiH (2) Alvaro Rey-Blanes, Enrique Domínguez
2024	B	`conf`	Deep Learning Models for Gait Event Prediction. IJCNN Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez
2024	J	`jnl`	Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. Neurocomputing Iván García Aguilar, Jorge García-González, Daniel Medina, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2024	—	`conf`	Novel Positional Encoding Methods for Neural Rendering. SOCO (2) Daniel Molina-Pinel, Jorge García-González, Enrique Domínguez, Ezequiel López-Rubio
2023	J	`jnl`	A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2023	J	`jnl`	An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
2023	J	`jnl`	Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 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, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez-Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, Victoria Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, José Manuel Ferrández-Vicente
2023	J	`jnl`	Human Gait Activity Recognition Using Multimodal Sensors. Int. J. Neural Syst. Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez
2023	—	`conf`	Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. IWANN (1) Iván García Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2023	J	`jnl`	Optimized instance segmentation by super-resolution and maximal clique generation. Integr. Comput. Aided Eng. Iván García Aguilar, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, Enrique Domínguez
2023	—	`conf`	Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2023	—	`conf`	Photovoltaic Energy Prediction Using Machine Learning Techniques. IWANN (1) Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez
2023	J	`jnl`	Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation. Sensors Iván García Aguilar, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2022	A	`conf`	Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review. ECAI Nameer Mezher Baht, Enrique Domínguez
2022	B	`conf`	Enhanced Perspective Generation by Consensus of NeX neural models. IJCNN Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez
2022	—	`conf`	Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello
2022	—	`conf`	Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. SOCO Jorge García-González, Iván García Aguilar, Daniel Medina, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez
2021	J	`jnl`	A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. Karl Thurnhofer-Hemsi, Enrique Domínguez
2021	B	`conf`	Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. IJCNN Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2021	B	`conf`	Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. IJCNN Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2021	—	`conf`	Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. SOCO Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2021	—	`conf`	Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. CISIS-ICEUTE Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
2021	—	`conf`	Peer Assessments in Engineering: A Pilot Project. CISIS-ICEUTE Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
2021	J	`jnl`	Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
2020	J	`jnl`	Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. Neurocomputing Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé
2020	J	`jnl`	Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. Integr. Comput. Aided Eng. Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2020	—	`conf`	Human gait model based on a machine learning and filtering noisy signals with recursive algorithm. BIBM P. Diego Teran, Enrique Domínguez
2020	B	`conf`	Image Clustering Using a Growing Neural Gas with Forbidden Regions. IJCNN Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos
2019	—	`conf`	Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) Karl Thurnhofer-Hemsi, Enrique Domínguez
2019	—	`conf`	Cooperative Evaluation Using Moodle. CISIS-ICEUTE Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello
2019	—	`conf`	Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. IWINAC (2) Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2019	—	`conf`	Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio
2019	—	`conf`	Infering Air Quality from Traffic Data Using Transferable Neural Network Models. IWANN (1) Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domínguez, David A. Elizondo, Jolanta Obszynska
2019	J	`jnl`	Motion detection with low cost hardware for PTZ cameras. Integr. Comput. Aided Eng. Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2019	J	`jnl`	Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez
2018	B	`conf`	Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. IJCNN Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2018	—	`conf`	Foreground Detection Enhancement Using Pearson Correlation Filtering. IPMU (3) Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez
2018	J	`jnl`	Foreground Detection by Competitive Learning for Varying Input Distributions. Int. J. Neural Syst. Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Enrique Domínguez
2018	J	`jnl`	Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. Log. J. IGPL Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo
2018	J	`jnl`	Panorama construction for PTZ camera surveillance with the neural gas network. Expert Syst. J. Knowl. Eng. Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2018	C	`conf`	Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben
2018	B	`conf`	Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. IJCNN Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello
2018	J	`jnl`	The effect of noise on foreground detection algorithms. Artif. Intell. Rev. Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2017	J	`jnl`	A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. Int. J. Comput. Vis. Image Process. Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez
2017	—	`conf`	Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE Enrique Domínguez, Ezequiel López-Rubio
2017	J	`jnl`	Dynamic tree topology learning by self-organization. Neural Comput. Appl. Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
2017	J	`jnl`	Growing Neural Forest-Based Color Quantization Applied to RGB Images. Int. J. Comput. Vis. Image Process. Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez
2017	—	`conf`	Motion Detection by Microcontroller for Panning Cameras. IWINAC (2) Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo
2017	B	`conf`	Neural controller for PTZ cameras based on nonpanoramic foreground detection. IJCNN Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi
2017	B	`conf`	Panoramic background modeling for PTZ cameras with competitive learning neural networks. IJCNN Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2017	—	`conf`	Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez
2017	—	`conf`	Vehicle Classification in Traffic Environments Using the Growing Neural Gas. IWANN (2) Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez
2016	—	`conf`	Frame Size Reduction for Foreground Detection in Video Sequences. CAEPIA Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2016	—	`conf`	Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. SOCO-CISIS-ICEUTE Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2016	J	`jnl`	Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video. Neural Process. Lett. Francisco Javier López-Rubio, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2015	J	`jnl`	A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Comput. Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
2015	J	`jnl`	Robust self-organization with M-estimators. Neurocomputing Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez
2015	—	`conf`	Visualization of Complex Datasets with the Self-Organizing Spanning Tree. IWANN (1) Ezequiel López-Rubio, Esteban José Palomo, Rafael Marcos Luque Baena, Enrique Domínguez
2014	J	`jnl`	Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez
2014	B	`conf`	Color space selection for self-organizing map based foreground detection in video sequences. IJCNN Francisco Javier López-Rubio, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2014	J	`jnl`	Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. Esteban J. Palomo, Enrique Domínguez
2013	—	`conf`	3D Hand Pose Estimation with Neural Networks. IWANN (2) Jose Antonio Serra, José García Rodríguez, Sergio Orts-Escolano, Juan Manuel García Chamizo, Anastassia Angelopoulou, Alexandra Psarrou, Markos Mentzelopoulos, Javier Montoyo-Bojo, Enrique Domínguez
2013	J	`jnl`	A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. Neural Process. Lett. Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2013	—	`conf`	A Self-organizing Map for Traffic Flow Monitoring. IWANN (2) Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban José Palomo, José Manuel Jerez
2013	—	`conf`	Hierarchical Self-Organizing Networks for Multispectral Data Visualization. IWANN (2) Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena
2013	J	`jnl`	Image Compression and Video Segmentation Using Hierarchical Self-Organization. Neural Process. Lett. Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz
2012	—	`ch.`	SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. Computational Intelligence for Privacy and Security Esteban J. Palomo, David A. Elizondo, Enrique Domínguez, Rafael Marcos Luque, Tim Watson
2011	Misc	`conf`	A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem. AIAI Gracián Triviño, José Muñoz, Enrique Domínguez
2011	—	`conf`	Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. IWANN (2) Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2011	J	`jnl`	Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps. Int. J. Neural Syst. Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez
2011	B	`conf`	Image compression based on growing hierarchical Self-Organizing Maps. IJCNN Esteban J. Palomo, Enrique Domínguez
2011	—	`conf`	Lossy Image Compression Using a GHSOM. IWANN (2) Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2011	—	`conf`	Video and Image Processing with Self-Organizing Neural Networks. IWANN (2) José García Rodríguez, Enrique Domínguez, Anastassia Angelopoulou, Alexandra Psarrou, Francisco José Mora-Gimeno, Sergio Orts, Juan Manuel García Chamizo
2010	—	`conf`	A Recurrent Neural Network for Channel Assignment Problems in Mobiles. IBERAMIA Gracián Triviño, José Muñoz, Enrique Domínguez
2010	B	`conf`	An ART-type network approach for video object detection. ESANN Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2010	B	`conf`	An anomaly detection system using a GHSOM-1. IJCNN Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
2010	B	`conf`	Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009	—	`conf`	A Neural Recognition System for Manufactured Objects. IWANN (2) Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2009	—	`conf`	A Self-Organized Multiagent System for Intrusion Detection. ADMI Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009	—	`conf`	Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009	—	`conf`	Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009	—	`conf`	Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008	—	`conf`	A Competitive Neural Network for Intrusion Detection Systems. MCO Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008	—	`conf`	A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo
2008	—	`ch.`	A Hybrid Algorithm for Solving Clustering Problems. Innovations in Hybrid Intelligent Systems Enrique Domínguez, José Muñoz
2008	—	`conf`	A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. ICANN (1) Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo
2008	—	`conf`	A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. ICIAR Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2008	—	`conf`	A New GHSOM Model Applied to Network Security. ICANN (1) Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008	J	`jnl`	A neural model for the p-median problem. Comput. Oper. Res. Enrique Domínguez, José Muñoz
2008	Misc	`conf`	An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008	—	`conf`	Detecting Critical Situation in Public Transport. PRIS Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2007	—	`conf`	Solving Clustering Problems Using Hybrid Approaches. GEM Enrique Domínguez, José Muñoz
2006	J	`jnl`	Comparative analysis of modern optimization tools for the Stat. Comput. Enrique Alba, Enrique Domínguez
2005	Misc	`conf`	Applying Bio-inspired Techniques to the p-Median Problem. IWANN Enrique Domínguez, José Muñoz
2004	J	`jnl`	RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante
2003	—	`conf`	A Recurrent Neural Network Model for the p-hub Problem. IWANN (2) Enrique Domínguez, José Muñoz, Enrique Mérida Casermeiro