Enrique Domínguez

Orcid: 0000-0002-2232-4562

According to our database1, Enrique Domínguez authored at least 95 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size.
Neurocomputing, January, 2024

Deep Learning Models for Gait Event Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Applying Deep Learning Based Super-Resolution to Knee Imaging.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
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Inf. Fusion, December, 2023

Human Gait Activity Recognition Using Multimodal Sensors.
Int. J. Neural Syst., November, 2023

An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., October, 2023

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
Sensors, August, 2023

A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing, August, 2023

Optimized instance segmentation by super-resolution and maximal clique generation.
Integr. Comput. Aided Eng., 2023

Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Photovoltaic Energy Prediction Using Machine Learning Techniques.
Proceedings of the Advances in Computational Intelligence, 2023

Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Enhanced Perspective Generation by Consensus of NeX neural models.
Proceedings of the International Joint Conference on Neural Networks, 2022

Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review.
Proceedings of the 14th International Conference on Electronics, 2022

2021
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection.
Neural Process. Lett., 2021

Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access, 2021

Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board.
Proceedings of the International Joint Conference on Neural Networks, 2021

Peer Assessments in Engineering: A Pilot Project.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

Longitudinal Study of the Learning Styles Evolution in Engineering Degrees.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

2020
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Neurocomputing, 2020

Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras.
Integr. Comput. Aided Eng., 2020

Image Clustering Using a Growing Neural Gas with Forbidden Regions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Human gait model based on a machine learning and filtering noisy signals with recursive algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Piecewise Polynomial Activation Functions for Feedforward Neural Networks.
Neural Process. Lett., 2019

Motion detection with low cost hardware for PTZ cameras.
Integr. Comput. Aided Eng., 2019

Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Analyzing Digital Image by Deep Learning for Melanoma Diagnosis.
Proceedings of the Advances in Computational Intelligence, 2019

Infering Air Quality from Traffic Data Using Transferable Neural Network Models.
Proceedings of the Advances in Computational Intelligence, 2019

Diabetic Wound Segmentation using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Cooperative Evaluation Using Moodle.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2018
Foreground Detection by Competitive Learning for Varying Input Distributions.
Int. J. Neural Syst., 2018

Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
Log. J. IGPL, 2018

Panorama construction for PTZ camera surveillance with the neural gas network.
Expert Syst. J. Knowl. Eng., 2018

The effect of noise on foreground detection algorithms.
Artif. Intell. Rev., 2018

Foreground Detection Enhancement Using Pearson Correlation Filtering.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Real-Time Robot Vision on Low-Performance Computing Hardware.
Proceedings of the 15th International Conference on Control, 2018

2017
Dynamic tree topology learning by self-organization.
Neural Comput. Appl., 2017

A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments.
Int. J. Comput. Vis. Image Process., 2017

Growing Neural Forest-Based Color Quantization Applied to RGB Images.
Int. J. Comput. Vis. Image Process., 2017

Developing Cooperative Evaluation Methodologies in Higher Education.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Motion Detection by Microcontroller for Panning Cameras.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Unsupervised Color Quantization with the Growing Neural Forest.
Proceedings of the Advances in Computational Intelligence, 2017

Vehicle Classification in Traffic Environments Using the Growing Neural Gas.
Proceedings of the Advances in Computational Intelligence, 2017

Panoramic background modeling for PTZ cameras with competitive learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neural controller for PTZ cameras based on nonpanoramic foreground detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video.
Neural Process. Lett., 2016

Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Frame Size Reduction for Foreground Detection in Video Sequences.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
A self-organizing map to improve vehicle detection in flow monitoring systems.
Soft Comput., 2015

Robust self-organization with M-estimators.
Neurocomputing, 2015

Visualization of Complex Datasets with the Self-Organizing Spanning Tree.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Hierarchical Color Quantization Based on Self-organization.
J. Math. Imaging Vis., 2014

Bregman Divergences for Growing Hierarchical Self-Organizing Networks.
Int. J. Neural Syst., 2014

Color space selection for self-organizing map based foreground detection in video sequences.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Image Compression and Video Segmentation Using Hierarchical Self-Organization.
Neural Process. Lett., 2013

A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis.
Neural Process. Lett., 2013


Hierarchical Self-Organizing Networks for Multispectral Data Visualization.
Proceedings of the Advances in Computational Intelligence, 2013

A Self-organizing Map for Traffic Flow Monitoring.
Proceedings of the Advances in Computational Intelligence, 2013

2012
SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data.
Proceedings of the Computational Intelligence for Privacy and Security, 2012

2011
Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps.
Int. J. Neural Syst., 2011

Video and Image Processing with Self-Organizing Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2011

Lossy Image Compression Using a GHSOM.
Proceedings of the Advances in Computational Intelligence, 2011

Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences.
Proceedings of the Advances in Computational Intelligence, 2011

Image compression based on growing hierarchical Self-Organizing Maps.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multivalued Recurrent Neural Network for the Quadratic Assignment Problem.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

2010
An anomaly detection system using a GHSOM-1.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Recurrent Neural Network for Channel Assignment Problems in Mobiles.
Proceedings of the Advances in Artificial Intelligence, 2010

Web Document Clustering based on a Hierarchical Self-Organizing Model.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

An ART-type network approach for video object detection.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
A Neural Recognition System for Manufactured Objects.
Proceedings of the Distributed Computing, 2009

Image Hierarchical Segmentation Based on a GHSOM.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Spam Detection Based on a Hierarchical Self-Organizing Map.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Network Security Using Growing Hierarchical Self-Organizing Maps.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

A Self-Organized Multiagent System for Intrusion Detection.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

2008
A Hybrid Algorithm for Solving Clustering Problems.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

A neural model for the p-median problem.
Comput. Oper. Res., 2008

Detecting Critical Situation in Public Transport.
Proceedings of the Pattern Recognition in Information Systems, 2008

A Competitive Neural Network for Intrusion Detection Systems.
Proceedings of the Modelling, 2008

A Neural Network Approach for Video Object Segmentation in Traffic Surveillance.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

A New GHSOM Model Applied to Network Security.
Proceedings of the Artificial Neural Networks, 2008

A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection.
Proceedings of the Artificial Neural Networks, 2008

A Dipolar Competitive Neural Network for Video Segmentation.
Proceedings of the Advances in Artificial Intelligence, 2008

An Intrusion Detection System Based on Hierarchical Self-Organization.
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, 2008

2007
Solving Clustering Problems Using Hybrid Approaches.
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, 2007

2006
Comparative analysis of modern optimization tools for the <i>p</i>-median problem.
Stat. Comput., 2006

2005
Applying Bio-inspired Techniques to the p-Median Problem.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004
RealNet: a neural network architecture for real-time systems scheduling.
Neural Comput. Appl., 2004

2003
A Recurrent Neural Network Model for the p-hub Problem.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003


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