José David Fernández-Rodríguez
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View article: Enhanced deep-style interpreter for automatic synthesis of annotated medical images
Enhanced deep-style interpreter for automatic synthesis of annotated medical images Open
Creating an annotated medical image dataset is challenging and traditionally reliant on labor-intensive manual annotations. Additionally, these datasets often present substantial imbalances regarding sensing devices, class of medical disor…
View article: Representation of Molecules by Sequences of Instructions
Representation of Molecules by Sequences of Instructions Open
The processing of chemical information by computational intelligence methods faces the challenge of the structural complexity of molecular graphs. These graphs are not amenable to being represented in a suitable way for such methods. The m…
View article: Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis
Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis Open
The accurate deployment of 5 G base stations (BSs) in urban environments is essential for achieving optimal network performance. In these scenarios, the most common positions for installing BSs are rooftops, which, however, given the compl…
View article: Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks Open
Typically, deep learning models for image segmentation tasks are trained using large datasets of images annotated at the pixel level, which can be expensive and highly time-consuming. A way to reduce the amount of annotated images required…
View article: Automated detection of vehicles with anomalous trajectories in traffic surveillance videos
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos Open
Video feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this respect, it is cru…
View article: Dynamic learning rates for continual unsupervised learning
Dynamic learning rates for continual unsupervised learning Open
The dilemma between stability and plasticity is crucial in machine learning, especially when non-stationary input distributions are considered. This issue can be addressed by continual learning in order to alleviate catastrophic forgetting…
View article: Enhanced Perspective Generation by Consensus of NeX neural models
Enhanced Perspective Generation by Consensus of NeX neural models Open
Neural rendering is a relatively new field of research that aims to produce high quality perspectives of a 3D scene from a reduced set of sample images. This is done with the help of deep artificial neural networks that model the geometry …
View article: Implementing AI-powered semantic character recognition in motor racing\n sports
Implementing AI-powered semantic character recognition in motor racing\n sports Open
Oftentimes TV producers of motor-racing programs overlay visual and textual\nmedia to provide on-screen context about drivers, such as a driver's name,\nposition or photo. Typically this is accomplished by a human producer who\nvisually id…
View article: Implementing AI-powered semantic character recognition in motor racing sports
Implementing AI-powered semantic character recognition in motor racing sports Open
Oftentimes TV producers of motor-racing programs overlay visual and textual media to provide on-screen context about drivers, such as a driver's name, position or photo. Typically this is accomplished by a human producer who visually ident…