6 citations · 6 across the 2 of their papers we have counts for
5 papers
Estimating the radii of air bubbles in water using passive acoustic monitoring
Paulo Hubert, Linilson Padovese
The study of the acoustic emission of underwater gas bubbles is a subject of both theoretical and applied interest, since it finds an important application in the development of ac…
Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates
Paulo Hubert
In this work we cast the problem of binary classification in terms of estimating a partition on Bernoulli data. When the explanatory variables are all categorical, the problem can…
A machine learning approach for underwater gas leakage detection
Paulo Hubert, Linilson Padovese
Underwater gas reservoirs are used in many situations. In particular, Carbon Capture and Storage (CCS) facilities that are currently being developed intend to store greenhouse gase…
A Bayesian binary algorithm for RMS-based acoustic signal segmentation
Paulo Hubert, Rebecca Killick, Alexandra Chung +1
Changepoint analysis (also known as segmentation analysis) aims at analyzing an ordered, one-dimensional vector, in order to find locations where some characteristic of the data ch…
Fast Implementation of a Bayesian Unsupervised Segmentation Algorithm
Paulo Hubert, Linilson Padovese, Julio Stern
In a recent paper, we have proposed an unsupervised algorithm for audio signal segmentation entirely based on Bayesian methods. In its first implementation, however, the method sho…