Enrique Domínguez

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 52

Top Topics

Convolutional Neural Networks

Top Venues

Neural Process. Lett.

Publications

Alvaro Rey-Blanes, Enrique Domínguez
Applying Deep Learning Based Super-Resolution to Knee Imaging. AIiH (2) (2024)
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 (2024)
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)
Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez
Photovoltaic Energy Prediction Using Machine Learning Techniques. IWANN (1) (2023)
Jesús Benito-Picazo, Jose David Fernández Rodríguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) (2023)
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 (2023)
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) (2023)
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) (2023)
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez
Human Gait Activity Recognition Using Multimodal Sensors. Int. J. Neural Syst. 33 (11) (2023)
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) (2023)
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, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. 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, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, J. M. Ferrández-Vicente
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100 (2023)
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)
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)
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)
Nameer Mezher Baht, Enrique Domínguez
Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review. ECAI (2022)
Karl Thurnhofer-Hemsi, Enrique Domínguez
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. 53 (5) (2021)
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)
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)
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)
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 (2021)
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)
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)
Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos
Image Clustering Using a Growing Neural Gas with Forbidden Regions. IJCNN (2020)
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 (2020)
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) (2020)
Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50 (1) (2019)
Karl Thurnhofer-Hemsi, Enrique Domínguez
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) (2019)
Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Cooperative Evaluation Using Moodle. CISIS-ICEUTE (2019)
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) (2019)
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)
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)
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)
Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben
Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV (2018)
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)
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)
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)
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) (2018)
Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez
Foreground Detection Enhancement Using Pearson Correlation Filtering. IPMU (3) (2018)
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) (2018)
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) (2018)
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) (2017)
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
Dynamic tree topology learning by self-organization. Neural Comput. Appl. 28 (5) (2017)
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) (2017)
Enrique Domínguez, Ezequiel López-Rubio
Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE (2017)
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)
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)
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)
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)
Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez
Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) (2017)
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)
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)
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) (2016)
Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez
Robust self-organization with M-estimators. Neurocomputing 151 (2015)
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)
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) (2015)
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)
Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez
Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. 24 (4) (2014)
Esteban J. Palomo, Enrique Domínguez
Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. 49 (1) (2014)
Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena
Hierarchical Self-Organizing Networks for Multispectral Data Visualization. IWANN (2) (2013)
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) (2013)
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)
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) (2013)
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)
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)
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)
Gracián Triviño, José Muñoz, Enrique Domínguez
A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem. EANN/AIAI (2) (2011)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Lossy Image Compression Using a GHSOM. IWANN (2) (2011)
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) (2011)
Esteban J. Palomo, Enrique Domínguez
Image compression based on growing hierarchical Self-Organizing Maps. IJCNN (2011)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
An anomaly detection system using a GHSOM-1. IJCNN (2010)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN (2010)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
An ART-type network approach for video object detection. ESANN (2010)
Gracián Triviño, José Muñoz, Enrique Domínguez
A Recurrent Neural Network for Channel Assignment Problems in Mobiles. IBERAMIA (2010)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA (2009)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
A Neural Recognition System for Manufactured Objects. IWANN (2) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A Self-Organized Multiagent System for Intrusion Detection. ADMI (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A New GHSOM Model Applied to Network Security. ICANN (1) (2008)
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)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS (2008)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A Competitive Neural Network for Intrusion Detection Systems. MCO (2008)
Enrique Domínguez, José Muñoz
A neural model for the p-median problem. Comput. Oper. Res. 35 (2) (2008)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. ICIAR (2008)
Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz
Detecting Critical Situation in Public Transport. PRIS (2008)
Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA (2008)
Enrique Domínguez, José Muñoz
Solving Clustering Problems Using Hybrid Approaches. GEM (2007)
Enrique Alba, Enrique Domínguez
-median problem. Stat. Comput. 16 (3) (2006)
Enrique Domínguez, José Muñoz
Applying Bio-inspired Techniques to the p-Median Problem. IWANN (2005)
Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante
RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. 13 (4) (2004)
Enrique Domínguez, José Muñoz, Enrique Mérida Casermeiro
A Recurrent Neural Network Model for the p-hub Problem. IWANN (2) (2003)