| Network topology inference from non-stationary graph signals R Shafipour, S Segarra, AG Marques, G Mateos 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 58 | 2017 |
| Identifying the topology of undirected networks from diffused non-stationary graph signals R Shafipour, S Segarra, AG Marques, G Mateos IEEE Open Journal of Signal Processing, 2021 | 45 | 2021 |
| A Directed Graph Fourier Transform with Spread Frequency Components R Shafipour, A Khodabakhsh, G Mateos, E Nikolova IEEE Transactions on Signal Processing 67 (4), 946-960, 2019 | 43 | 2019 |
| A digraph fourier transform with spread frequency components R Shafipour, A Khodabakhsh, G Mateos, E Nikolova 2017 IEEE Global Conference on Signal and Information Processing, 2017 | 33 | 2017 |
| Online topology inference from streaming stationary graph signals with partial connectivity information R Shafipour, G Mateos Algorithms 13 (9), 228, 2020 | 25 | 2020 |
| Online topology inference from streaming stationary graph signals R Shafipour, A Hashemi, G Mateos, H Vikalo | 25 | 2019 |
| With shared microexponents, a little shifting goes a long way B Darvish Rouhani, R Zhao, V Elango, R Shafipour, M Hall, ... Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 22 | 2023 |
| MAPPING BRAIN STRUCTURAL CONNECTIVITIES TO FUNCTIONAL NETWORKS VIA GRAPH ENCODER-DECODER WITH INTERPRETABLE LATENT EMBEDDINGS Y Li, R Shafipour, G Mateos, Z Zhang 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019 | 21 | 2019 |
| Buildup of speaking skills in an online learning community: a network-analytic exploration R Shafipour, RA Baten, MK Hasan, G Ghoshal, G Mateos, ME Hoque Palgrave Communications 4 (1), 1-10, 2018 | 18* | 2018 |
| Microscaling data formats for deep learning BD Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ... arXiv preprint arXiv:2310.10537, 2023 | 16 | 2023 |
| Supervised graph representation learning for modeling the relationship between structural and functional brain connectivity Y Li, R Shafipour, G Mateos, Z Zhang 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 13 | 2020 |
| Digraph Fourier Transform via Spectral Dispersion Minimization R Shafipour, A Khodabakhsh, G Mateos, E Nikolova Proc. Int. Conf. Acoustics, Speech, Signal Process., Calgary, Alberta, Canada, 2018 | 12 | 2018 |
| Directed network topology inference via graph filter identification R Shafipour, S Segarra, AG Marques, G Mateos 2018 IEEE Data Science Workshop (DSW), 210-214, 2018 | 11 | 2018 |
| Sampling and reconstruction of graph signals via weak submodularity and semidefinite relaxation A Hashemi, R Shafipour, H Vikalo, G Mateos 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 8 | 2018 |
| A Windowed Digraph Fourier Transform R Shafipour, A Khodabakhsh, G Mateos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs C Ye, R Shafipour, G Mateos 2018 26th European Signal Processing Conference (EUSIPCO), 121-125, 2018 | 7 | 2018 |
| Online network topology inference with partial connectivity informatio R Shafipour, G Mateos 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 6 | 2019 |
| Online proximal gradient for learning graphs from streaming signals R Shafipour, G Mateos 2020 28th European Signal Processing Conference (EUSIPCO), 865-869, 2021 | 5 | 2021 |
| Towards accelerated greedy sampling and reconstruction of bandlimited graph signals A Hashemi, R Shafipour, H Vikalo, G Mateos Signal processing 195, 108505, 2022 | 4 | 2022 |
| Efficient sampling of bandlimited graph signals A Hashemi, R Shafipour, H Vikalo, G Mateos arXiv preprint arXiv:1807.07222, 2018 | 4* | 2018 |
Gonzalo MateosAssociate Professor of ECE, Asaro Biggar Family Fellow in Data Science, University of RochesterZweryfikowany adres z ece.rochester.edu
