most citedHandling Imbalanced Datasets Through Optimum-Path Forest

30 citations · 132 across the 12 of their papers we have counts for

collaborators

12 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.CV20222 cited

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks

Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa +3

In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement…

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.LG20221 cited

MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks

Claudio Filipi Goncalves do Santos, Mateus Roder, Leandro A. Passos +1

In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities. Additionally, such an improve…