Aberto Natali, Elvin Isufi, Mario Coutino, Geert Leus (2021), Online Graph Learning From Time-Varying Structural Equation Models, Michael B. Matthews (Eds.), In 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 p.1579-1585, IEEE.

Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus (2021), Online Time-Varying Topology Identification Via Prediction-Correction Algorithms, In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.5400-5404, IEEE.

Kaiwen Zhang, Mario Coutino, Elvin Isufi (2021), Sampling Graph Signals with Sparse Dictionary Representation, In 2021 29th European Signal Processing Conference (EUSIPCO) p.1815-1819, IEEE.

Zhan Gao, Elvin Isufi, Alejandro Ribeiro (2021), Stability of graph convolutional neural networks to stochastic perturbations, In Signal Processing Volume 188.

Zhan Gao, Elvin Isufi, Alejandro Ribeiro (2021), Stochastic graph neural networks, In IEEE Transactions on Signal Processing Volume 69 p.4428-4443.

Geert Leus, Maosheng Yang, Mario Coutino, Elvin Isufi (2021), Topological Volterra Filters, In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.5385-5389, IEEE.

Zhan Gao, Elvin Isufi, Alejandro Ribeiro (2021), Variance-Constrained Learning for Stochastic Graph Neural Networks, In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.5245-5249, IEEE.

Bishwadeep Das, Elvin Isufi, Geert Leus (2020), Active Semi-Supervised Learning for Diffusions on Graphs, In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.9075-9079, IEEE.

Alberto Natali, Elvin Isufi, Geert Leus (2020), Forecasting Multi-Dimensional Processes Over Graphs, In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.5575-5579, IEEE.

Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi (2020), Graph-Adaptive Activation Functions for Graph Neural Networks, In 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) p.1-6, IEEE.