2 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
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…
Neuron detection in stack images: a persistent homology interpretation
Jónathan Heras, Gadea Mata, Germán Cuesto +2
Automation and reliability are the two main requirements when computers are applied in Life Sciences. In this paper we report on an application to neuron recognition, an important…
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…
Verifying a platform for digital imaging: a multi-tool strategy
Jónathan Heras, Gadea Mata, Ana Romero +2
Fiji is a Java platform widely used by biologists and other experimental scientists to process digital images. In particular, in our research - made together with a biologists team…