3 papers
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!
Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos-Filho
The model selection procedure is usually a single-criterion decision making in which we select the model that maximizes a specific metric in a specific set, such as the Validation…
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo Jose Albanez Bastos-Filho
The definition of a Neural Network architecture is one of the most critical and challenging tasks to perform. In this paper, we propose ParallelMLPs. ParallelMLPs is a procedure to…
Similarity Based Stratified Splitting: an approach to train better classifiers
Felipe Farias, Teresa Ludermir, Carmelo Bastos-Filho
We propose a Similarity-Based Stratified Splitting (SBSS) technique, which uses both the output and input space information to split the data. The splits are generated using simila…