5 papers
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…
Text Classification Models for Form Entity Linking
María Villota, César Domínguez, Jónathan Heras +2
Forms are a widespread type of template-based document used in a great variety of fields including, among others, administration, medicine, finance, or insurance. The automatic ext…
Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation
Manuel García-Domínguez, César Domínguez, Jónathan Heras +2
Background and objectives. Domain shift is a generalisation problem of machine learning models that occurs when the data distribution of the training set is different to the data d…
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…
Integrating multiple sources to answer questions in Algebraic Topology
Jonathan Heras, Vico Pascual, Ana Romero +1
We present in this paper an evolution of a tool from a user interface for a concrete Computer Algebra system for Algebraic Topology (the Kenzo system), to a front-end allowing the…