70 citations · 128 across the 5 of their papers we have counts for
7 papers
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez +5
Much has been said about the fusion of bio-inspired optimization algorithms and Deep Learning models for several purposes: from the discovery of network topologies and hyper-parame…
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
Manuel Rey-Area, Emilio Guirado, Siham Tabik +1
It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i.e., the network becomes highly biased to the data it has been trained on. This iss…
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1 error rate. Ensembles overview and proposal
S. Tabik, R. F. Alvear-Sandoval, M. M. Ruiz +3
Ensemble methods have been widely used for improving the results of the best single classificationmodel. A large body of works have achieved better performance mainly by applying o…
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser +9
In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this t…
Deep Learning in Video Multi-Object Tracking: A Survey
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik +3
The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep Learn…
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery
Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura +2
There is a growing demand for accurate high-resolution land cover maps in many fields, e.g., in land-use planning and biodiversity conservation. Developing such maps has been perfo…