16 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
Adrián Inés, Andrés Díaz-Pinto, César Domínguez +3
The development of mobile and on the edge applications that embed deep convolutional neural models has the potential to revolutionise biomedicine. However, most deep learning model…
A Topological Approach for Semi-Supervised Learning
Adrián Inés, César Domínguez, Jónathan Heras +2
Nowadays, Machine Learning and Deep Learning methods have become the state-of-the-art approach to solve data classification tasks. In order to use those methods, it is necessary to…
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images
Ángela Casado-García, César Domínguez, Jónathan Heras +2
A correct localisation of tables in a document is instrumental for determining their structure and extracting their contents; therefore, table detection is a key step in table unde…
Guiding the Creation of Deep Learning-based Object Detectors
Ángela Casado, Jónathan Heras
Object detection is a computer vision field that has applications in several contexts ranging from biomedicine and agriculture to security. In the last years, several deep learning…