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PUBLICATIONS

References and Links to Papers

A probabilistic semi-supervised approach with triplet Markov chains

Preprint submitted to IEEE Machine Learning for Signal Processing, 2023.

Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data

Computational Statistics & Data Analysis Journal, 2023.

A general parametrization framework for pairwise Markov models: An application to unsupervised image segmentation

Variational Bayesian inference for pairwise Markov models

IEEE International Workshop on Machine Learning for Signal Processing, 2021.

IEEE Statistical Signal Processing Workshop, 2020.

Nonlinear Principal Components Analysis for the Construction of a Socioeconomic Stratification Index in Ecuador

New methodologies applied to multivariate monitoring of student performance using control charts and threshold systems

Pairwise Markov models as Generative models

Chaînes de Markov cachées à bruit généralisé

Construcción y medición de un indicador socioeconómico mediante el análisis de componentes principales no lineal y técnicas de remuestreo.

Revista Desarrollo Y Sociedad, 2021.

Perfiles, 2020.

Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022.

Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022.

Escuela Politécnica Nacional-Ecuador, 2018.

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