Rafael Marcos Luque Baena

Orcid: 0000-0001-5536-1805

According to our database1, Rafael Marcos Luque Baena authored at least 105 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks.
Sensors, June, 2024

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

Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm.
Neural Comput. Appl., September, 2023

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

Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks.
Pattern Recognit. Lett., March, 2023

Optimized instance segmentation by super-resolution and maximal clique generation.
Integr. Comput. Aided Eng., 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
Improved detection of small objects in road network sequences using CNN and super resolution.
Expert Syst. J. Knowl. Eng., 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

Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Stenosis detection in coronary angiography images using deep learning models.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Anomalous object detection by active search with PTZ cameras.
Expert Syst. Appl., 2021

Improved detection of small objects in road network sequences.
CoRR, 2021

Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks.
Appl. Soft Comput., 2021

Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

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

Background subtraction by probabilistic modeling of patch features learned by deep autoencoders.
Integr. Comput. Aided Eng., 2020

Foreground detection by ensembles of random polygonal tilings.
Expert Syst. Appl., 2020

The effect of downsampling-upsampling strategy on foreground detection algorithms.
Artif. Intell. Rev., 2020

Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs.
IEEE Access, 2020

Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models.
Proceedings of the IEEE International Conference on Image Processing, 2020

Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.
Pattern Recognit. Lett., 2019

Securing and Greening Wireless Sensor Networks with Beamforming.
Mob. Networks Appl., 2019

Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018
Study and classification of plum varieties using image analysis and deep learning techniques.
Prog. Artif. Intell., 2018

Fuzzy techniques for IPO underpricing prediction.
J. Intell. Fuzzy Syst., 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

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng., 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

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

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

A New Self-Organizing Neural Gas Model based on Bregman Divergences.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Road Pollution Estimation Using Static Cameras And Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Background Modeling for Video Sequences by Stacked Denoising Autoencoders.
Proceedings of the Advances in Artificial Intelligence, 2018

Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm.
Proceedings of the IEEE 5G World Forum, 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

Vehicle Type Detection by Convolutional Neural Networks.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

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

Machine learning models to search relevant genetic signatures in clinical context.
Proceedings of the 2017 International Joint Conference on Neural Networks, 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
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst., 2016

Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks.
Sensors, 2016

Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics.
Prog. Artif. Intell., 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

Wound image evaluation with machine learning.
Neurocomputing, 2015

Computational Intelligence Techniques in Medicine.
Comput. Math. Methods Medicine, 2015

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

2014
An adaptive system for compressed video deblocking.
Signal Process., 2014

Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords.
J. Biomed. Informatics, 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

Saving energy in WSNs with beamforming.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 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

Assessment of geometric features for individual identification and verification in biometric hand systems.
Expert Syst. Appl., 2013

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.
Proceedings of the Advances in Computational Intelligence, 2013

Committee C-Mantec: A Probabilistic Constructive Neural Network.
Proceedings of the Advances in Computational Intelligence, 2013

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

Computer-Aided Diagnosis in Wound Images with Neural Networks.
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

Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques.
Proceedings of the Computational Intelligence for Privacy and Security, 2012

Application of growing hierarchical SOM for visualisation of network forensics traffic data.
Neural Networks, 2012

NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks.
J. Netw. Comput. Appl., 2012

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

Stochastic approximation for background modelling.
Comput. Vis. Image Underst., 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

Visualisation of network forensics traffic data with a self-organising map for qualitative features.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

GA-based feature selection approach in biometric hand systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
An anomaly detection system using a GHSOM-1.
Proceedings of the International Joint Conference on Neural Networks, 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
Hierarchical Graphs for Data Clustering.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 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

Growing Competitive Network for Tracking Objects in Video Sequences.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Dynamic adaptation in wireless sensor networks using Neuronal Networks.
Proceedings of the IADIS International Conference Applied Computing 2009, 2009

Object Tracking in Video Sequences by Unsupervised Learning.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

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

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

Video Object Segmentation with Multivalued Neural Networks.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

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


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