Rafael Marcos Luque Baena

Profesor Titular de Universidad

University of Malaga

Spain

Research Interests

Explore related searches

Professors in Spain Professors in Artificial Intelligence Artificial Intelligence professors in Spain

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Rafael Marcos Luque Baena is a Professor at Universidad de Málaga in Spain. His research focuses on areas such as deep learning, neural networks, and image classification, as evidenced by his recent publications on topics like beamforming antennas, coronary artery disease segmentation, and autonomous vehicle speed estimation. He is actively engaged in advancing methodologies for object detection and data augmentation through innovative techniques like generative adversarial networks.

Articles (16)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (5)

Juan F. Valenzuela-Valdés

Universidad de Granada

SPAIN

View details

Manuel J. Marin-Jimenez

Associate Professor

SPAIN

View details

Jose David Fernandez-Rodriguez

Associate professor (Profesor Permanente Laboral)

University of Malaga

SPAIN

View details

Enrique Dominguez

University of Malaga

SPAIN

View details

Ezequiel López-Rubio

Professor

University of Malaga

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Rafael Marcos Luque Baena

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Learning to shape beams: Using a neural network to control a beamforming antenna

Experimental Assessment of YOLO Variants for Coronary Artery Disease Segmentation from Angiograms

Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving

Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks

Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size

Improving Art Style Classification Through Data Augmentation Using Diffusion Models

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks

Improved detection of small objects in road network sequences using CNN and super resolution

Anomalous object detection by active search with PTZ cameras

Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks

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

Background subtraction by probabilistic modeling of patch features learned by deep autoencoders

Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs

Foreground detection by ensembles of random polygonal tilings

The effect of downsampling–upsampling strategy on foreground detection algorithms

Collaborators (5)

Juan F. Valenzuela-Valdés

Manuel J. Marin-Jimenez

Jose David Fernandez-Rodriguez

Enrique Dominguez

Ezequiel López-Rubio

Make your next move.