Zhan Gao, Elvin Isufi, Alejandro Ribeiro (2020), Stochastic Graph Neural Networks, In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.9080-9084, IEEE.
A. Iancu, E. Isufi (2020), Towards Finite-Time Consensus with Graph Convolutional Neural Networks, In 28th European Signal Processing Conference (EUSIPCO 2020) p.2145-2149, Eurasip.
Miao Sun, Elvin Isufi, Natasja M.S. De Groot, Richard C. Hendriks (2019), A graph signal processing framework for atrial activity extraction, In EUSIPCO 2019 - 27th European Signal Processing Conference Volume 2019-September, European Signal Processing Conference, EUSIPCO.
Mario CoutiƱo, Elvin Isufi, Geert Leus (2019), Advances in Distributed Graph Filtering, In IEEE Transactions on Signal Processing Volume 67 p.2320-2333.
Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus (2019), Controllability of bandlimited graph processes over random time varying graphs, In IEEE Transactions on Signal Processing Volume 67 p.6440-6454.
Leila Ben Saad, Elvin Isufi, Baltasar Beferull-Lozano (2019), Graph filtering with quantization over random time-varying graphs, In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings, IEEE.
Elvin Isufi (2019), Graph-time signal processing: Filtering and sampling strategies, PhD Thesis Delft University of Technology.
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus (2019), Observing Bandlimited Graph Processes from Subsampled Measurements, Michael B. Matthews (Eds.), In 2018 52nd Asilomar Conference on Signals, Systems, and Computers p.737-741, IEEE.
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus (2019), On the Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations, Michael B. Matthews (Eds.), In 2018 52nd Asilomar Conference on Signals, Systems, and Computers p.993-997, IEEE.
Ron Levie, Elvin Isufi, Gitta Kutyniok (2019), On the Transferability of Spectral Graph Filters, Arash Amini (Eds.), In 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019, SampTA.