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ORCIDEnrique Domínguez
Enrique Domínguez Merino – Enrique Domínguez-Merino
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2020 – today
- 2026
[c76]Aboubakr Aakaou, Karl Thurnhofer-Hemsi
, Enrique Domínguez:
Contrast-Focused Preprocessing for Skin Lesion Segmentation and Classification. IWINAC (2) 2026: 63-72- [c75]Edison Solorzano, Jorge Parraga-Alava, Enrique Domínguez:
Evaluating Long Short-Term Memory Autoencoders for Vehicle Hijacking Detection on Unified Heterogeneous Datasets. IWINAC (2) 2026: 73-83 - [c74]Ricardo Javier Fuentes-Fino, Miguel A. Molina-Cabello, Enrique Domínguez:
Dealing with the Feature Distribution of Mammogram Images by Means of GAN Architectures When Using Multiple Datasets. IWINAC (2) 2026: 118-127 - 2025
- [j34]Nameer Mezher Baht, Enrique Domínguez:
A Hybrid Model of Transfer Learning and Convolutional Neural Networks for Accurate Coffee Leaf Miner (CLM) Classification. Comput. Mater. Continua 85(3): 4441-4455 (2025) - [j33]Nameer Mezher Baht, Enrique Domínguez, Saif Aljumaili:
Detection of coffee leaf disease and identification using deep learning. PeerJ Comput. Sci. 11: e3172 (2025) - [c73]Aboubakr Aakaou, Karl Thurnhofer-Hemsi, Enrique Domínguez:
Skin Lesion Hybrid Classification and Segmentation Based on Extracted Deep Features. AIiH (2) 2025: 341-350 - 2024
- [j32]Iván García Aguilar, Jorge García-González, Daniel Medina, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. Neurocomputing 567: 127057 (2024) - [c72]Alvaro Rey-Blanes, Enrique Domínguez:
Applying Deep Learning Based Super-Resolution to Knee Imaging. AIiH (2) 2024: 77-88 - [c71]Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez:
Advancing Photovoltaic Forecasting with Neural Networks: Integrating N-Beats and Sequential Models with Fourier Analysis. IBERAMIA 2024: 287-297 - [c70]Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez:
Deep Learning Models for Gait Event Prediction. IJCNN 2024: 1-8 - [c69]Daniel Molina-Pinel, Jorge García-González, Enrique Domínguez, Ezequiel López-Rubio:
Novel Positional Encoding Methods for Neural Rendering. SOCO (2) 2024: 22-31 - 2023
- [j31]Iván García Aguilar, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, Enrique Domínguez:
Optimized instance segmentation by super-resolution and maximal clique generation. Integr. Comput. Aided Eng. 30(3): 243-256 (2023) - [j30]Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez:
Human Gait Activity Recognition Using Multimodal Sensors. Int. J. Neural Syst. 33(11): 2350058:1-2350058:15 (2023) - [j29]José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano:
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing 544: 126288 (2023) - [j28]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:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j27]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello:
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. 35(30): 22151-22161 (2023) - [j26]Iván García Aguilar, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation. Sensors 23(16): 7185 (2023) - [c68]Iván García Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. IWANN (1) 2023: 276-287 - [c67]Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez:
Photovoltaic Energy Prediction Using Machine Learning Techniques. IWANN (1) 2023: 577-587 - [c66]Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio:
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) 2023: 184-194 - 2022
- [c65]Nameer Mezher Baht, Enrique Domínguez:
Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review. ECAI 2022: 1-4 - [c64]Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez:
Enhanced Perspective Generation by Consensus of NeX neural models. IJCNN 2022: 1-8 - [c63]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello:
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) 2022: 375-388 - [c62]Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez-Merino:
Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution. IWINAC (1) 2022: 153-162 - [c61]Jorge García-González, Iván García Aguilar, Daniel Medina, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez:
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. SOCO 2022: 330-339 - 2021
- [j25]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo:
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access 9: 112193-112205 (2021) - [j24]Karl Thurnhofer-Hemsi, Enrique Domínguez:
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. 53(5): 3073-3093 (2021) - [c60]Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo:
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. CISIS-ICEUTE 2021: 264-273 - [c59]Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez:
Peer Assessments in Engineering: A Pilot Project. CISIS-ICEUTE 2021: 274-283 - [c58]Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. IJCNN 2021: 1-7 - [c57]Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. IJCNN 2021: 1-7 - [c56]Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano:
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. SOCO 2021: 327-337 - 2020
- [j23]Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio:
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. Integr. Comput. Aided Eng. 27(4): 373-387 (2020) - [j22]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé:
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. Neurocomputing 398: 314-327 (2020) - [c55]P. Diego Teran, Enrique Domínguez:
Human gait model based on a machine learning and filtering noisy signals with recursive algorithm. BIBM 2020: 1142-1145 - [c54]Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos:
Image Clustering Using a Growing Neural Gas with Forbidden Regions. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j21]Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Motion detection with low cost hardware for PTZ cameras. Integr. Comput. Aided Eng. 26(1): 21-36 (2019) - [j20]Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez:
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50(1): 121-147 (2019) - [c53]Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Cooperative Evaluation Using Moodle. CISIS-ICEUTE 2019: 295-301 - [c52]Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio:
Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC 2019: 1002-1005 - [c51]Karl Thurnhofer-Hemsi, Enrique Domínguez:
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) 2019: 270-279 - [c50]Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domínguez, David A. Elizondo, Jolanta Obszynska:
Infering Air Quality from Traffic Data Using Transferable Neural Network Models. IWANN (1) 2019: 832-843 - [c49]Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio:
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. IWINAC (2) 2019: 317-326 - 2018
- [j19]Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez:
The effect of noise on foreground detection algorithms. Artif. Intell. Rev. 49(3): 407-438 (2018) - [j18]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panorama construction for PTZ camera surveillance with the neural gas network. Expert Syst. J. Knowl. Eng. 35(2) (2018) - [j17]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo:
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. Log. J. IGPL 26(6): 593-604 (2018) - [j16]Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Enrique Domínguez:
Foreground Detection by Competitive Learning for Varying Input Distributions. Int. J. Neural Syst. 28(5): 1750056:1-1750056:16 (2018) - [c48]Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben:
Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV 2018: 1959-1965 - [c47]Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. IJCNN 2018: 1-7 - [c46]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello:
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. IJCNN 2018: 1-8 - [c45]Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez:
Foreground Detection Enhancement Using Pearson Correlation Filtering. IPMU (3) 2018: 417-428 - 2017
- [j15]Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez:
A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. Int. J. Comput. Vis. Image Process. 7(3): 1-12 (2017) - [j14]Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Growing Neural Forest-Based Color Quantization Applied to RGB Images. Int. J. Comput. Vis. Image Process. 7(3): 13-25 (2017) - [j13]Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez:
Dynamic tree topology learning by self-organization. Neural Comput. Appl. 28(5): 911-924 (2017) - [c44]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panoramic background modeling for PTZ cameras with competitive learning neural networks. IJCNN 2017: 396-403 - [c43]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi:
Neural controller for PTZ cameras based on nonpanoramic foreground detection. IJCNN 2017: 404-411 - [c42]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez:
Vehicle Classification in Traffic Environments Using the Growing Neural Gas. IWANN (2) 2017: 225-234 - [c41]Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) 2017: 306-316 - [c40]Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo:
Motion Detection by Microcontroller for Panning Cameras. IWINAC (2) 2017: 279-288 - [c39]Enrique Domínguez, Ezequiel López-Rubio:
Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE 2017: 706-711 - 2016
- [j12]Francisco Javier López-Rubio, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Rafael Marcos Luque Baena:
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video. Neural Process. Lett. 43(2): 345-361 (2016) - [c38]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez:
Frame Size Reduction for Foreground Detection in Video Sequences. CAEPIA 2016: 3-12 - [c37]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo:
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. SOCO-CISIS-ICEUTE 2016: 247-255 - 2015
- [j11]Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez:
Robust self-organization with M-estimators. Neurocomputing 151: 408-423 (2015) - [j10]Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez:
A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Comput. 19(9): 2499-2509 (2015) - [c36]Ezequiel López-Rubio, Esteban José Palomo, Rafael Marcos Luque Baena, Enrique Domínguez:
Visualization of Complex Datasets with the Self-Organizing Spanning Tree. IWANN (1) 2015: 209-217 - 2014
- [j9]Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez:
Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. 24(4) (2014) - [j8]Esteban J. Palomo, Enrique Domínguez:
Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. 49(1): 1-19 (2014) - [c35]Francisco Javier López-Rubio, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo:
Color space selection for self-organizing map based foreground detection in video sequences. IJCNN 2014: 3347-3354 - 2013
- [j7]Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo:
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. Neural Process. Lett. 37(1): 47-67 (2013) - [j6]Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz:
Image Compression and Video Segmentation Using Hierarchical Self-Organization. Neural Process. Lett. 37(1): 69-87 (2013) - [c34]Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena:
Hierarchical Self-Organizing Networks for Multispectral Data Visualization. IWANN (2) 2013: 449-457 - [c33]Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban José Palomo, José Manuel Jerez:
A Self-organizing Map for Traffic Flow Monitoring. IWANN (2) 2013: 458-466 - [c32]Jose Antonio Serra, José García Rodríguez, Sergio Orts-Escolano, Juan Manuel García Chamizo, Anastassia Angelopoulou, Alexandra Psarrou, Markos Mentzelopoulos, Javier Montoyo-Bojo, Enrique Domínguez:
3D Hand Pose Estimation with Neural Networks. IWANN (2) 2013: 504-512 - 2012
- [p2]Esteban J. Palomo, David A. Elizondo, Enrique Domínguez, Rafael Marcos Luque, Tim Watson:
SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. Computational Intelligence for Privacy and Security 2012: 75-95 - 2011
- [j5]Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez:
Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps. Int. J. Neural Syst. 21(3): 225-246 (2011) - [c31]Gracián Triviño, José Muñoz, Enrique Domínguez:
A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem. AIAI 2011: 132-140 - [c30]Esteban J. Palomo, Enrique Domínguez:
Image compression based on growing hierarchical Self-Organizing Maps. IJCNN 2011: 1624-1628 - [c29]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Lossy Image Compression Using a GHSOM. IWANN (2) 2011: 1-8 - [c28]Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo:
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. IWANN (2) 2011: 17-24 - [c27]José García Rodríguez, Enrique Domínguez, Anastassia Angelopoulou, Alexandra Psarrou, Francisco José Mora-Gimeno, Sergio Orts, Juan Manuel García Chamizo:
Video and Image Processing with Self-Organizing Neural Networks. IWANN (2) 2011: 98-104 - 2010
- [c26]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
An ART-type network approach for video object detection. ESANN 2010 - [c25]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN 2010 - [c24]Gracián Triviño, José Muñoz, Enrique Domínguez:
A Recurrent Neural Network for Channel Assignment Problems in Mobiles. IBERAMIA 2010: 406-412 - [c23]Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque:
An anomaly detection system using a GHSOM-1. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c22]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Self-Organized Multiagent System for Intrusion Detection. ADMI 2009: 84-94 - [c21]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA 2009: 130-139 - [c20]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) 2009: 30-37 - [c19]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) 2009: 743-750 - [c18]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
A Neural Recognition System for Manufactured Objects. IWANN (2) 2009: 1274-1281 - 2008
- [j4]Enrique Domínguez, José Muñoz:
A neural model for the p-median problem. Comput. Oper. Res. 35(2): 404-416 (2008) - [c17]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS 2008: 139-146 - [c16]Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo:
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA 2008: 103-112 - [c15]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A New GHSOM Model Applied to Network Security. ICANN (1) 2008: 680-689 - [c14]Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo:
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. ICANN (1) 2008: 877-886 - [c13]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. ICIAR 2008: 151-158 - [c12]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Competitive Neural Network for Intrusion Detection Systems. MCO 2008: 530-537 - [c11]Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
Detecting Critical Situation in Public Transport. PRIS 2008: 57-66 - [p1]Enrique Domínguez, José Muñoz:
A Hybrid Algorithm for Solving Clustering Problems. Innovations in Hybrid Intelligent Systems 2008: 128-135 - 2007
- [c10]Enrique Domínguez, José Muñoz:
Solving Clustering Problems Using Hybrid Approaches. GEM 2007: 38-42 - 2006
- [j3]Enrique Alba, Enrique Domínguez:
Comparative analysis of modern optimization tools for the p-median problem. Stat. Comput. 16(3): 251-260 (2006) - 2005
- [c9]Enrique Domínguez, José Muñoz:
Applying Bio-inspired Techniques to the p-Median Problem. IWANN 2005: 67-74 - 2004
- [j2]Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante:
RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. 13(4): 281-287 (2004) - [c8]Francisco L. Valverde, Nicolás Guil, Enrique Domínguez, José Muñoz-Pérez:
A Statistical Validation of Vessel Segmentation in Medical Images. IBERAMIA 2004: 617-625 - [c7]Enrique Domínguez, José Muñoz-Pérez:
Bidirectional Neural Network for Clustering Ploblems. IBERAMIA 2004: 788-798 - 2003
- [j1]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz, Enrique Domínguez-Merino:
New learning rules for the ASSOM network. Neural Comput. Appl. 12(2): 109-118 (2003) - [c6]Enrique Domínguez Merino, José Muñoz-Pérez:
A Recurrent Neural Network for Airport Scales Location. CAEPIA 2003: 107-115 - [c5]Enrique Domínguez Merino, José Muñoz-Pérez, José M. Jerez-Aragonés:
Neural Network Algorithms for the p-Median Problem. ESANN 2003: 385-392 - [c4]José M. Jerez-Aragonés, Miguel A. Atencia Ruiz, Francisco J. Vico, Enrique Domínguez:
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. IWANN (1) 2003: 190-197 - [c3]Enrique Mérida Casermeiro, José Muñoz-Pérez, Enrique Domínguez-Merino:
An N-parallel Multivalued Network: Applications to the Travelling Salesman Problem. IWANN (1) 2003: 406-413 - [c2]Enrique Domínguez, José Muñoz, Enrique Mérida Casermeiro:
A Recurrent Neural Network Model for the p-hub Problem. IWANN (2) 2003: 734-741 - 2002
- [c1]Enrique Domínguez Merino, José Muñoz-Pérez:
An Efficient Neural Network Algorithm for the p-Median Problem. IBERAMIA 2002: 460-469
Coauthor Index
[j32] [c69] [j31] [j29] [j27] [j26] [c68] [c66] [c64] [c63] [c62] [c61] [j25] [c60] [c59] [c58] [c57] [c56] [j23] [j22] [j21] [j20] [c53] [c52] [c49] [j19] [j18] [j17] [j16] [c47] [c46] [c45] [j15] [j14] [j13] [c44] [c43] [c42] [c41] [c40] [c39] [j12] [c38] [c37] [j11] [j10] [c36] [j9] [c35] [j7] [c34] [c33] [j5] [c28] [j1]
Esteban J. Palomo
aka: Esteban José Palomo
aka: Esteban José Palomo
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