1 code implementation • 29 Mar 2022 • Angelos Chatzimparmpas, Fernando V. Paulovich, Andreas Kerren
Our proposed system assists users in visually comparing different distributions of data types, selecting types of instances based on local characteristics that will later be affected by the active sampling method, and validating which suggestions from undersampling or oversampling techniques are beneficial for the ML model.
no code implementations • 21 Jun 2021 • Mário Popolin Neto, Fernando V. Paulovich
Visual Analytics (VA) tools and techniques have been instrumental in supporting users to build better classification models, interpret models' overall logic, and audit results.
1 code implementation • 14 Jun 2021 • Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich, Rafael M. Martins
Dimensionality reduction (DR) techniques help analysts understand patterns in high-dimensional spaces.
no code implementations • 18 Mar 2021 • Gabriel D. Cantareira, Rodrigo F. Mello, Fernando V. Paulovich
As neural networks become the tool of choice to solve an increasing variety of problems in our society, adversarial attacks become critical.
no code implementations • 19 Jan 2021 • Leonardo Christino, Martha D. Ferreira, Fernando V. Paulovich
Knowing how to construct text-based Search Queries (SQs) for use in Search Engines (SEs) such as Google or Wikipedia has become a fundamental skill.
no code implementations • 8 May 2020 • Mário Popolin Neto, Fernando V. Paulovich
In this paper, we propose Explainable Matrix (ExMatrix), a novel visualization method for RF interpretability that can handle models with massive quantities of rules.
no code implementations • 8 Mar 2020 • Tácito T. A. T. Neves, Rafael M. Martins, Danilo B. Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando V. Paulovich
To the best of our knowledge, it is the first methodology that is capable of evolving a projection to faithfully represent new emerging structures without the need to store all data, providing reliable results for efficiently and effectively projecting streaming data.
1 code implementation • 8 Mar 2019 • Gladys M. Hilasaca, Wilson E. Marcílio-Jr, Danilo M. Eler, Rafael M. Martins, Fernando V. Paulovich
Dimensionality Reduction (DR) scatterplot layouts have become a ubiquitous visualization tool for analyzing multidimensional datasets.