research
∙
01/27/2023
Semi-Supervised Machine Learning: a Homological Approach
In this paper we describe the mathematical foundations of a new approach...
share
research
∙
05/19/2022
A Topological Approach for Semi-Supervised Learning
Nowadays, Machine Learning and Deep Learning methods have become the sta...
research
∙
09/15/2015
Neuron detection in stack images: a persistent homology interpretation
Automation and reliability are the two main requirements when computers ...
research
∙
07/28/2015
SynapCountJ --- a Tool for Analyzing Synaptic Densities in Neurons
The quantification of synapses is instrumental to measure the evolution ...
research
∙
10/06/2014
Effective persistent homology of digital images
In this paper, three Computational Topology methods (namely effective ho...
research
∙
07/13/2012
Verifying an algorithm computing Discrete Vector Fields for digital imaging
In this paper, we present a formalization of an algorithm to construct a...
research
∙
04/27/2010