collaborators

4 papers

cs.CV2026

A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection

Wagner Moreno Schmitz, Marco Antonio de Castro Barbosa, Thiago Magalhães Amaral +2

Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately distinguishing melanoma from other skin lesions remains a significant clinical cha…

cs.LG2026

Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance

Vinicius Herique Kieling, Guilherme Macedo Baggio, Felipe Augusto Bueno Rossi +4

Near-Infrared (NIR) spectroscopy has emerged as a promising alternative to traditional soil analysis methods, offering advantages such as speed, low cost, and non-destructive testi…

cs.CV2026

Iterative Framework For Data Augmentation Of Segmented Fingerprints

João Leonardo H. D. Agnol, Wesley Augusto de Bona, Erick Oliveira Rodrigues +4

Infant biometrics presents unique challenges due to the physiological differences between infants and adults, compounded by the scarcity of available data for research that limits…

cs.CV2026

Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement

Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales 0liva +5

Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrad…