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
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…
cs.CV2015
SynapCountJ --- a Tool for Analyzing Synaptic Densities in Neurons
Gadea Mata, Jónathan Heras, Miguel Morales +2
The quantification of synapses is instrumental to measure the evolution of synaptic densities of neurons under the effect of some physiological conditions, neuronal diseases or eve…