3 papers
cs.LG2023
Semi-Supervised Machine Learning: a Homological Approach
Adrián Inés, César Domínguez, Jónathan Heras +2
In this paper we describe the mathematical foundations of a new approach to semi-supervised Machine Learning. Using techniques of Symbolic Computation and Computer Algebra, we appl…
cs.CV2022
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…
cs.CV2022
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…