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20212023
most citedHandling Imbalanced Datasets Through Optimum-Path Forest

30 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization

Luiz C. F. Ribeiro, Mateus Roder, Gustavo H. de Rosa +2

The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of th…

cs.LG2022★ 30 cited

Handling Imbalanced Datasets Through Optimum-Path Forest

Leandro Aparecido Passos, Danilo S. Jodas, Luiz C. F. Ribeiro +3

In the last decade, machine learning-based approaches became capable of performing a wide range of complex tasks sometimes better than humans, demanding a fraction of the time. Suc…

cs.AI2021

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro +2

With the advent of deep learning, the number of works proposing new methods or improving existent ones has grown exponentially in the last years. In this scenario, "very deep" mode…

cs.CV2021★ 16 cited

Intestinal Parasites Classification Using Deep Belief Networks

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro +3

Currently, approximately billion people are infected by intestinal parasites worldwide. Diseases caused by such infections constitute a public health problem in most tropical c…

cs.LG2021★ 9 cited

PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection

Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz C. F. Ribeiro +2

Breast cancer is among the most deadly diseases, distressing mostly women worldwide. Although traditional methods for detection have presented themselves as valid for the task, the…