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2020 – today
- 2024
[j31]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)- [c62]Alvaro Rey-Blanes, Enrique Domínguez:
Applying Deep Learning Based Super-Resolution to Knee Imaging. AIiH (2) 2024: 77-88 - [c61]Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez:
Deep Learning Models for Gait Event Prediction. IJCNN 2024: 1-8 - 2023
- [j30]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) - [j29]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) - [j28]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) - [j27]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, V. 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, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j26]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) - [j25]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) - [c60]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 - [c59]Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez:
Photovoltaic Energy Prediction Using Machine Learning Techniques. IWANN (1) 2023: 577-587 - [c58]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
- [c57]Nameer Mezher Baht, Enrique Domínguez:
Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review. ECAI 2022: 1-4 - [c56]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 - [c55]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 - [c54]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
- [j24]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) - [j23]Karl Thurnhofer-Hemsi, Enrique Domínguez:
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. 53(5): 3073-3093 (2021) - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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
- [j22]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) - [j21]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) - [c48]P. Diego Teran, Enrique Domínguez:
Human gait model based on a machine learning and filtering noisy signals with recursive algorithm. BIBM 2020: 1142-1145 - [c47]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
- [j20]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) - [j19]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) - [c46]Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Cooperative Evaluation Using Moodle. CISIS-ICEUTE 2019: 295-301 - [c45]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 - [c44]Karl Thurnhofer-Hemsi, Enrique Domínguez:
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) 2019: 270-279 - [c43]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 - [c42]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
- [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c41]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 - [c40]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 - [c39]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 - [c38]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
- [j14]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) - [j13]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) - [j12]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) - [c37]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 - [c36]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 - [c35]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 - [c34]Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) 2017: 306-316 - [c33]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 - [c32]Enrique Domínguez, Ezequiel López-Rubio:
Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE 2017: 706-711 - 2016
- [j11]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) - [c31]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 - [c30]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
- [j10]Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez:
Robust self-organization with M-estimators. Neurocomputing 151: 408-423 (2015) - [j9]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) - [c29]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
- [j8]Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez:
Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. 24(4) (2014) - [j7]Esteban J. Palomo, Enrique Domínguez:
Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. 49(1): 1-19 (2014) - [c28]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
- [j6]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) - [j5]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) - [c27]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 - [c26]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 - [c25]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
- [j4]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) - [c24]Gracián Triviño, José Muñoz, Enrique Domínguez:
A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem. EANN/AIAI (2) 2011: 132-140 - [c23]Esteban J. Palomo, Enrique Domínguez:
Image compression based on growing hierarchical Self-Organizing Maps. IJCNN 2011: 1624-1628 - [c22]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Lossy Image Compression Using a GHSOM. IWANN (2) 2011: 1-8 - [c21]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 - [c20]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
- [c19]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
An ART-type network approach for video object detection. ESANN 2010 - [c18]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN 2010 - [c17]Gracián Triviño, José Muñoz, Enrique Domínguez:
A Recurrent Neural Network for Channel Assignment Problems in Mobiles. IBERAMIA 2010: 406-412 - [c16]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
- [c15]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Self-Organized Multiagent System for Intrusion Detection. ADMI 2009: 84-94 - [c14]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA 2009: 130-139 - [c13]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) 2009: 30-37 - [c12]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) 2009: 743-750 - [c11]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
A Neural Recognition System for Manufactured Objects. IWANN (2) 2009: 1274-1281 - 2008
- [j3]Enrique Domínguez, José Muñoz:
A neural model for the p-median problem. Comput. Oper. Res. 35(2): 404-416 (2008) - [c10]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS 2008: 139-146 - [c9]Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo:
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA 2008: 103-112 - [c8]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A New GHSOM Model Applied to Network Security. ICANN (1) 2008: 680-689 - [c7]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 - [c6]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 - [c5]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Competitive Neural Network for Intrusion Detection Systems. MCO 2008: 530-537 - [c4]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
- [c3]Enrique Domínguez, José Muñoz:
Solving Clustering Problems Using Hybrid Approaches. GEM 2007: 38-42 - 2006
- [j2]Enrique Alba, Enrique Domínguez:
Comparative analysis of modern optimization tools for the p-median problem. Stat. Comput. 16(3): 251-260 (2006) - 2005
- [c2]Enrique Domínguez, José Muñoz:
Applying Bio-inspired Techniques to the p-Median Problem. IWANN 2005: 67-74 - 2004
- [j1]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) - 2003
- [c1]Enrique Domínguez, José Muñoz, Enrique Mérida Casermeiro:
A Recurrent Neural Network Model for the p-hub Problem. IWANN (2) 2003: 734-741
Coauthor Index
[j31] [j30] [j28] [j26] [j25] [c60] [c58] [c56] [c55] [c54] [j24] [c53] [c52] [c51] [c50] [c49] [j22] [j21] [j20] [j19] [c46] [c45] [c42] [j18] [j17] [j16] [j15] [c40] [c39] [c38] [j14] [j13] [j12] [c37] [c36] [c35] [c34] [c33] [c32] [j11] [c31] [c30] [j10] [j9] [c29] [j8] [c28] [j6] [c27] [c26] [j4] [c21]
Esteban J. Palomo
aka: Esteban José Palomo
aka: Esteban José Palomo
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last updated on 2024-10-07 21:16 CEST by the dblp team
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