2 citations · 2 across the 6 of their papers we have counts for
6 papers
Evaluation of Barlow Twins and VICReg self-supervised learning for sound patterns of bird and anuran species
Fábio Felix Dias, Moacir Antonelli Ponti, Mílton Cezar Ribeiro +1
Taking advantage of the structure of large datasets to pre-train Deep Learning models is a promising strategy to decrease the need for supervised data. Self-supervised learning met…
Weak Supervision in Analysis of News: Application to Economic Policy Uncertainty
Paul Trust, Ahmed Zahran, Rosane Minghim
The need for timely data analysis for economic decisions has prompted most economists and policy makers to search for non-traditional supplementary sources of data. In that context…
Understanding High Dimensional Spaces through Visual Means Employing Multidimensional Projections
Haseeb Younis, Paul Trust, Rosane Minghim
Data visualisation helps understanding data represented by multiple variables, also called features, stored in a large matrix where individuals are stored in lines and variable val…
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records
Erasmo Artur, Rosane Minghim
Multidimensional data analysis has become increasingly important in many fields, mainly due to current vast data availability and the increasing demand to extract knowledge from it…
Implementing simple spectral denoising for environmental audio recordings
Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim
This technical report details changes applied to a noise filter to facilitate its application and improve its results. The filter is applied to denoise natural sounds recorded in t…
A Visual Mining Approach to Improved Multiple-Instance Learning
Sonia Castelo, Moacir Ponti, Rosane Minghim
Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags. This problem is ofte…