57 citations · 57 across the 2 of their papers we have counts for
4 papers
Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
Nestor Barraza, Sergio Moro, Marcelo Ferreyra +1
Feature selection is a highly relevant task in a data-driven knowledge discovery project. Several techniques have been developed aiming at finding the features that influence most…
On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective
Nestor R. Barraza, Gabriel Pena
Machine learning procedures are commonly evaluated in terms of predictive accuracy and computational efficiency. However, their achievable performance is fundamentally constrained…
A non-homogeneous Markov early epidemic growth dynamics model. Application to the SARS-CoV-2 pandemic
Nestor R. Barraza, Gabriel Pena, Verónica Moreno
This work introduces a new markovian stochastic model that can be described as a non-homogeneous Pure Birth process. We propose a functional form of birth rate that depends on the…
A non-homogeneous, non-stationary and path-dependent Markov anomalous diffusion model
Nestor Barraza, Gabriel Pena, Juliana Gambini +1
A novel probabilistic framework for modelling anomalous diffusion is presented. The resulting process is Markovian, non-homogeneous, non-stationary, non-ergodic, and state-dependen…