Graph Diffusion Kernel LMS using Random Fourier Features. - Vinay Chakravarthi Gogineni; Vitor Rosa Meireles Elias; Wallace A. Martins; Stefan Werner 001 (ACSSC, 2020)

Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances. - Vitor Rosa Meireles Elias; Wallace A. Martins; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Kernel Regression on Graphs in Random Fourier Features Space. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (ICASSP, 2021)

A fault detector/classifier for closed-ring power generators using machine learning. - Igor M. Quintanilha; Vitor Rosa Meireles Elias; Felipe B. da Silva; Pedro A. M. Fonini; Eduardo A. B. da Silva; Sergio L. Netto; José A. Apolinário Jr.; Marcello L. R. de Campos; Wallace A. Martins; Lars E. Wold; Rune B. Andersen (Reliab. Eng. Syst. Saf., 2021)

Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Kernel Regression Over Graphs Using Random Fourier Features. - Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner 001 (IEEE Trans. Signal Process., 2022)

Graph-Based Anomaly Detection and Localization in InSAR Data. - Vitor Rosa Meireles Elias; John F. Dehls; Pierluigi Salvo Rossi (IGARSS, 2024)