Enrique Dominguez website

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Publicaciones

Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size.
Neurocomputing, 127057, 2024
Optimized instance segmentation by super-resolution and maximal clique generation.
Integr. Comput. Aided Eng., 243-256, 2023
Human Gait Activity Recognition Using Multimodal Sensors.
Int. J. Neural Syst., 2350058:1-2350058:15, 2023
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing, 126288, 2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, 101945, 2023
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., 22151-22161, 2023
Small-scale urban object anomaly detection using convolutional neural networks with probability estimation
Sensors, vol. 23(16), 7185, 2023
Analysis and recognition of human gait activity based on multimodal sensors
Mathematics, vol. 11(6), 1538, 2023
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks.
IWANN (1), 276-287, 2023
Photovoltaic Energy Prediction Using Machine Learning Techniques.
IWANN (1), 577-587, 2023
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System.
SOCO (2), 184-194, 2023
Detection of Plant Diseases Based On Convolutional Neural Network Approach.
ECAI, 1-4, 2022
Enhanced Perspective Generation by Consensus of NeX neural models.
IJCNN, 1-8, 2022
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Lecture Notes in Computer Science (IWBBIO), vol. 13347, 375-388, 2022
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection
Neural Processing Letters, vol. 53(5), 3073-3093, 2021
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting
IEEE Access, vol. 9, 112193-112205, 2021
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees
12th International Conference on European Transnational Educational (ICEUTE 2021), vol. 1400, 264-273, 2021
Peer Assessments in Engineering: A Pilot Project
12th International Conference on European Transnational Educational (ICEUTE 2021), vol. 1400, 274-283, 2021
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), vol. 1401, 327-337, 2021
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras
Integrated Computer-Aided Engineering, vol. 27, 373-387, 2020
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting
Neurocomputing, vol. 398, 314-327, 2020
Human gait model based on a machine learning and filtering noisy signals with recursive algorithm
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), vol. 1, 1142-1145, 2020
Discrete ordered median problem with induced order
TOP, vol. 28, 793-813, 2020
Cooperative Evaluation Using Moodle
Advances in Intelligent Systems and Computing, vol. 951, 295-301, 2020
Image Clustering Using a Growing Neural Gas with Forbidden Regions
2020 International Joint Conference on Neural Networks (IJCNN), vol. 1, 1-7, 2020
Motion detection with low cost hardware for PTZ cameras
Integrated Computer-Aided Engineering, vol. 26, 21-36, 2019
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis
Advances in Computational Intelligence Systems, vol. 840, 270-279, 2019
Infering Air Quality from Traffic Data Using Transferable Neural Network Models
Advances in Computational Intelligence Systems, vol. 840, 832-843, 2019
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras
From Bioinspired Systems and Biomedical Applications to Machine Learning, vol. 11487, 317-326, 2019
Piecewise Polynomial Activation Functions for Feedforward Neural Networks
Neural Processing Letters, vol. 50(1), 121-147, 2019
Real-time Robot Vision on Low-performance Computing Hardware
15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 1959-1965, 2018
Comparación de marcos de trabajo de Aprendizaje Profundo para la detección de objetos
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 1219-1224, 2018
Panorama construction for PTZ camera surveillance with the neural gas network
Expert Systems, vol. 35(2), e11249, 2018
The effect of noise on foreground detection algorithms
Artificial Intelligence Review, vol. 49(3), 407-438, 2018
Foreground Detection by Competitive Learning for Varying Input Distributions
International Journal of Neural Systems, vol. 28(5), 1750056, 2018
Foreground detection enhancement using Pearson correlation filtering
Communications in Computer and Information Science, vol. 855, 417-428, 2018
Developing Cooperative Evaluation Methodologies in Higher Education
Advances in Intelligent Systems and Computing, vol. 649, 706-711, 2018
A growing neural gas approach to classify vehicles in traffic environments
International Journal of Computer Vision and Image Processing, vol. 7(3), 1-13, 2017
Growing Neural forest-based color quantization applied to RGB images
International Journal of Computer Vision and Image Processing, vol. 7(3), 13-25, 2017
Motion detection by microcontroller for panning cameras
Lecture Notes in Computer Science, vol. 10338, 279-288, 2017
Unsupervised Color Quantization with the Growing Neural Forest
Advances in Computational Intelligence, vol. 527, 306-316, 2017
Vehicle classification in traffic environments using the growing neural gas
Advances in Computational Intelligence, vol. 527, 225-234, 2017
Neural controller for PTZ cameras based on nonpanoramic foreground detection
International Joint Conference on Neural Networks (IJCNN), 404-411, 2017
Panoramic background modeling for PTZ cameras with competitive learning neural networks
International Joint Conference on Neural Networks (IJCNN), 396-403, 2017
Dynamic tree topology learning by self-organization
Neural Computing and Applications, vol. 28(5), 911-924, 2017
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video
Neural Processing Letters, vol. 43(2), 345-361, 2016
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Advances in Intelligent Systems and Computing, vol. 527, 247-255, 2016
Frame Size Reduction for Foreground Detection in Video Sequences
Lecture Notes in Aritifitial Intelligence, vol. 9868, 3-12, 2016
Robust self-organization with M-estimators
Neurocomputing, vol. 151, 408-423, 2015
Visualization of Complex Datasets with the Self-Organizing Spanning Tree
Lecture Notes in Computer Science, vol. 9094, 209-217, 2015
A self-organizing map to improve vehicle detection in flow monitoring systems
Soft Computing, vol. 19(9), 2499-2509, 2015
Bregman divergences for growing hierarchical self-organizing networks.
International journal of neural systems, vol. 24(4), 1450016, 2014
Color space selection for self-organizing map based foreground detection in video sequences
2014 International Joint Conference on Neural Networks (IJCNN), 3347-3354, 2014
Hierarchical Color Quantization Based on Self-organization
Journal of Mathematical Imaging and Vision, vol. 49(1), 1-19, 2014
Solving the quadratic assignment problem by neural networks
EURO XXVI, None, 2013
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis
Neural Processing Letters, vol. 37(1), 47-67, 2013
A self-organizing map for traffic flow monitoring
Advances in Computational Intelligence (IWANN), 458-466, 2013
Hierarchical self-organizing networks for multispectral data visualization
Advances in Computational Intelligence (IWANN), 449-457, 2013
Image Compression and Video Segmentation Using Hierarchical Self-Organization
Neural Processing Letters, vol. 37(1), 69-87, 2013
3D hand pose estimation with neural networks
Advances in Computational Intelligence (IWANN), 504-512, 2013
Assigning channels in cellular networks by neural networks
EURO XXV, None, 2012
SOM-based techniques towards hierarchical visualisation of network forensics traffic data
Studies in Computational Intelligence, vol. 394, 75-95, 2012
Video and Image Processing with Self-Organizing
Lecture Notes in Computer Science (IWANN), vol. 6692, 98-104, 2011
Foreground detection in video sequences with probabilistic self-organizing maps.
International Journal of Neural Systems, vol. 21(3), 225-246, 2011
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences
Lecture Notes in Computer Science (IWANN), vol. 6692, 17-24, 2011
Lossy Image Compression Using a GHSOM
Lecture Notes in Computer Science (IWANN), vol. 6692, 1-8, 2011
A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem
EANN/AIAI, vol. 364, 132-140, 2011
Solving discrete location problems by neural networks
EURO XXIV, None, 2010
An ART-type network approach for video object
Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010), vol. (April), 423-428, 2010
Web Document Clustering based on a Hierarchical Self-Organizing Model
Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010), vol. (April), 499-504, 2010
An anomaly detection system using a GHSOM-1
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010
A Recurrent Neural Network for Channel Assignment Problems in Mobiles
Lecture Notes in Aritifitial Intelligence (IBERAMIA), vol. 6433, 406-412, 2010
Self-Organizing Maps in Data Mining
EURO XXIII, None, 2009
Un modelo neuronal de agrupamiento basado en regiones para segmentacion de vıdeo
XIII Conferencia de la Asociación Española para la Inteligencia Artificial, 243-252, 2009
A Neural Recognition System for Manufactured Objects
Lecture Notes in Computer Science (IWANN), vol. 5518, 1274-1281, 2009
Image Hierarchical Segmentation Based on a GHSOM
Lecture Notes in Computer Science (ICONIP), vol. 5863, 743, 2009
Network Security Using Growing Hierarchical Self-Organizing Maps
Lecture Notes in Computer Science (ICANNGA), vol. 5495, 130-139, 2009
An Intrusion Detection System Based on Hierarchical
Advances in Soft Computing (CISIS), vol. 53, 139-146, 2009
Spam Detection Based on a Hierarchical Self-Organizing Map
Lecture Notes in Computer Science (ICIC), vol. 5755, 30-37, 2009
An Intrusion Detection System based on Hierarchical Self-Organization
Journal of Information Assurance and Security, vol. 4(3), 139-146, 2009
A Self-Organized Multiagent System for Intrusion Detection
Lecture Notes in Computer Science (AAMAS-ADMI), vol. 5680, 84-94, 2009
A neural model for the p-median problem
Computers & Operations Research, vol. 35(2), 404-416, 2008
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection
Lecture Notes in Computer Science (ICANN), vol. 5163, 877-886, 2008
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance
Lecture Notes in Computer Science (ICIAR), vol. 5112, 151-158, 2008
Detecting Critical Situation in Public Transport
International Workshop on Pattern Recognition in Information Systems (PRIS), 57-66, 2008
A Dipolar Competitive Neural Network for Video Segmentation
Lecture Notes in Computer Science (IBERAMIA), vol. 5290, 103-112, 2008
A New GHSOM Model Applied to Network Security
Lecture Notes in Computer Science (ICANN), vol. 5163, 680-689, 2008
A Competitive Neural Network for Intrusion Detection Systems
Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO), vol. 14, 536-543, 2008
A Hybrid Algorithm for Solving Clustering Problems
Advances in Soft Computing (CAEPIA-HAIS), vol. 44, 128-135, 2007
Redes Neuronales Recurrentes basadas en Asambleas
MAEB 2007, 107-110, 2007
Neural algorithms for continuous location-allocation problems
EWGLA 2007, None, 2007
A Bidirectional Neural Network for Hub Airport Location
EURO XXII, None, 2007
Comparative analysis of modern optimization tools for the p-median problem
Statistics and Computing, vol. 16(3), 251-260, 2006
Solving the uncapacitated multisource Weber problem by neural algorithms
EURO XXI (European Conference on Operational Research), None, 2006
Object recognition and inspection in difficult industrial environments
IEEE International Conference on Industrial Technology (ICIT), 989-993, 2006
Applying Bio-inspired Techniques to the p-Median Problem
Lecture Notes in Computer Science, vol. 3512, 67-74, 2005
Localizacion de centros de servicio mediante algoritmos bioinspirados
I CEDI (Congreso Español de Informatica), 331-338, 2005
Neural Approaches to the p-Hub Problem
ISOLDE X, None, 2005
A Recurrent Neural Network for Airport Scales Location
Lecture Notes in Aritifitial Intelligence (CAEPIA), vol. 3040, 107-115, 2004
RealNet: a neural network architecture for real-time systems scheduling
Neural Computing and Applications, vol. 13(4), 281-287, 2004
Redes neuronales recurrentes para la resolucion de problemas de optimizacion
Optimizacion Inteligente. Tecnicas de inteigencia computacional para optimization, 43-98, 2004
Hieralchical neural techniques for location problems
ASC 2004, None, 2004
Integer programming formulation of discrete p-median problems
EWGLA 2004, None, 2004
Bidirectional Neural Network for Clustering Problems
Lecture Notes in Computer Science, vol. 3315, 788-798, 2004
A Statistical Validation of Vessel Segmentation in Medical Images
Lecture Notes in Computer Science, vol. 3315, 617-625, 2004
A Neural network approach for schedulability analisys of real time systems
EANN, 124-131, 2003
A Recurrent Neural Network for the Airline Network Design
CCCT, 121-125, 2003
Neural networks algorithms for the p-median problems
ESANN, 385-392, 2003
A recurrent neural network model for the p-hub problem
Lecture Notes in Computer Science (IWANN), vol. 2687, 734-741, 2003
Skeleton Construction for Shape Description using Unsupervised Learning
EANN, 17-24, 2003
A learning rule to model the development of orientation selectivity in visual cortex
Lecture Notes in Computer Science (IWANN), vol. 2686, 190-197, 2003
New learning rules for the ASSOM network
Neural Computing & Applications, vol. 12(2), 109-118, 2003
An N-parallel Multivalued Network: Applications to Travelling Salesman Problem
Lecture Notes in Computer Science (IWANN), vol. 2686, 406-413, 2003
An Efficient Neural Network Algorithm for the p-Median Problem
Lecture Notes in Aritifitial Intelligence (IBERAMIA), vol. 2527, 460-469, 2002
Resolucion del problema de la m-mediana mediante una red neuronal
CAEPIA, 801-811, 2001
Nuevas soluciones explicitas al problema de las N-reinas
CAEPIA, 823-832, 2001
Implementacion neuronal del algoritmo de Dijkstra
CAEPIA, 813-822, 2001