Articles with public access mandates - Santiago SegarraLearn more
Not available anywhere: 1
Graph Representation Learning For Stroke Recurrence Prediction
N Glaze, A Bayer, X Jiang, S Savitz, S Segarra
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandates: US National Institutes of Health, Cancer Prevention Research Institute of …
Available somewhere: 112
Connecting the dots: Identifying network structure via graph signal processing
G Mateos, S Segarra, AG Marques, A Ribeiro
IEEE Signal Processing Magazine 36 (3), 16-43, 2019
Mandates: US National Science Foundation, Government of Spain
Network topology inference from spectral templates
S Segarra, AG Marques, G Mateos, A Ribeiro
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
Mandates: US National Science Foundation, Government of Spain
Sampling of graph signals with successive local aggregations
AG Marques, S Segarra, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 64 (7), 1832-1843, 2015
Mandates: Government of Spain
Optimal graph-filter design and applications to distributed linear network operators
S Segarra, AG Marques, A Ribeiro
IEEE Transactions on Signal Processing 65 (15), 4117-4131, 2017
Mandates: US National Science Foundation, Government of Spain
Stationary graph processes and spectral estimation
AG Marques, S Segarra, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 65 (22), 5911-5926, 2017
Mandates: US National Science Foundation, Government of Spain
Signal processing on higher-order networks: Livin’on the edge... and beyond
MT Schaub, Y Zhu, JB Seby, TM Roddenberry, S Segarra
Signal Processing 187, 108149, 2021
Mandates: US National Science Foundation
Unfolding WMMSE using graph neural networks for efficient power allocation
A Chowdhury, G Verma, C Rao, A Swami, S Segarra
IEEE Transactions on Wireless Communications 20 (9), 6004-6017, 2021
Mandates: US Department of Defense
Reconstruction of graph signals through percolation from seeding nodes
S Segarra, AG Marques, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 64 (16), 4363-4378, 2016
Mandates: US National Science Foundation, Government of Spain
Principled simplicial neural networks for trajectory prediction
TM Roddenberry, N Glaze, S Segarra
International Conference on Machine Learning, 9020-9029, 2021
Mandates: US National Science Foundation, US Department of Defense
Centrality measures for graphons: Accounting for uncertainty in networks
M Avella-Medina, F Parise, M Schaub, S Segarra
IEEE Transactions on Network Science and Engineering, 2018
Mandates: Swiss National Science Foundation, European Commission, Government of Spain
Graph-based semi-supervised & active learning for edge flows
J Jia, MT Schaub, S Segarra, AR Benson
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Mandates: US National Science Foundation, US Department of Defense, European Commission
Blind identification of graph filters
S Segarra, G Mateos, AG Marques, A Ribeiro
IEEE Transactions on Signal Processing 65 (5), 1146-1159, 2016
Mandates: US National Science Foundation, Government of Spain
Flow smoothing and denoising: Graph signal processing in the edge-space
MT Schaub, S Segarra
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
Mandates: European Commission
Distributed scheduling using graph neural networks
Z Zhao, G Verma, C Rao, A Swami, S Segarra
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandates: US Department of Defense
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
Mandates: Government of Spain
HodgeNet: Graph neural networks for edge data
TM Roddenberry, S Segarra
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 220-224, 2019
Mandates: US Department of Defense
Signal processing on directed graphs: The role of edge directionality when processing and learning from network data
AG Marques, S Segarra, G Mateos
IEEE Signal Processing Magazine 37 (6), 99-116, 2020
Mandates: US National Science Foundation, Government of Spain
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 2, 171-189, 2021
Mandates: US National Science Foundation, Government of Spain
Blind community detection from low-rank excitations of a graph filter
HT Wai, S Segarra, AE Ozdaglar, A Scaglione, A Jadbabaie
IEEE Transactions on signal processing 68, 436-451, 2019
Mandates: US National Science Foundation, US Department of Defense, Government of Spain
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