activity
20172022
most citedDomain-adversarial neural networks to address the appearance variability of histopathology images

1.1k citations · 2k across the 24 of their papers we have counts for

collaborators

27 papers

cs.LG20224 cited

FEMa-FS: Finite Element Machines for Feature Selection

Lucas Biaggi, João P. Papa, Kelton A. P Costa +2

Identifying anomalies has become one of the primary strategies towards security and protection procedures in computer networks. In this context, machine learning-based methods emer…

cs.LG202211 cited

PL-kNN: A Parameterless Nearest Neighbors Classifier

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel +1

Demands for minimum parameter setup in machine learning models are desirable to avoid time-consuming optimization processes. The -Nearest Neighbors is one of the most effective…

cs.CV20226 cited

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization

Talita A. Pereira, Regina C. Popim, Leandro A. Passos +3

Complex wounds usually face partial or total loss of skin thickness, healing by secondary intention. They can be acute or chronic, figuring infections, ischemia and tissue necrosis…

cs.CV202225 cited

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

Renato W. R. de Souza, João V. C. de Oliveira, Leandro A. Passos +3

In the past decades, fuzzy logic has played an essential role in many research areas. Alongside, graph-based pattern recognition has shown to be of great importance due to its flex…

cs.CV2022

An End-to-End Approach for Seam Carving Detection using Deep Neural Networks

Thierry P. Moreira, Marcos Cleison S. Santana, Leandro A. Passos João Paulo Papa +1

Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image geometry. Although the technique is mo…

cs.LG202230 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…