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.
Miao Sun, Elvin Isufi, Natasja M.S. de Groot, Richard C. Hendriks (2020), Graph-time spectral analysis for atrial fibrillation, In Biomedical Signal Processing and Control Volume 59.
Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro (2020), Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks, In IEEE Signal Processing Magazine p.128-138.
Maosheng Yang, M. Coutino, E. Isufi, G. Leus (2020), Node varying regularization for graph signals, In 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings p.845-849, Eurasip.
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus (2020), Observing and tracking bandlimited graph processes from sampled measurements, In Signal Processing Volume 177 p.1-13.