An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. - Caroline P. A. Moraes; Juliana Saldanha; Aline Neves; Denis G. Fantinato; Romis Attux; Leonardo Tomazeli Duarte (SSP, 2021)

Epanechnikov kernel for PDF estimation applied to equalization and blind source separation. - Caroline P. A. Moraes; Denis G. Fantinato; Aline Neves (Signal Process., 2021)

A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA. - Caroline P. A. Moraes; Denis G. Fantinato; Aline Neves (EUSIPCO, 2023)

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. - Caroline P. A. Moraes; Bruno Aristimunha; Lucas Heck Dos Santos; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo; Denis G. Fantinato; Aline Neves (ICASSP, 2023)

Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. - Marcelo Grilo; Caroline P. A. Moraes; Bruno Fonseca Oliveira Coelho; Ana Beatriz R. Massaranduba; Denis G. Fantinato; Rodrigo Pereira Ramos; Aline Neves (Biomed. Signal Process. Control., 2023)

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification. - Caroline P. A. Moraes; Lucas Heck Dos Santos; Denis G. Fantinato; Aline Neves; Tülay Adali (Sensors, 2024)