متابعة
Santiago Segarra
Santiago Segarra
Associate Professor, Electrical and Computer Engineering, Rice University
بريد إلكتروني تم التحقق منه على rice.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
4012019
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
3462017
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
3222015
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
2832017
Stationary graph processes and spectral estimation‏
AG Marques, S Segarra, G Leus, A Ribeiro‏
IEEE Transactions on Signal Processing 65 (22), 5911-5926, 2017‏
2632017
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
1652021
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
1552021
Stability and continuity of centrality measures in weighted graphs‏
S Segarra, A Ribeiro‏
IEEE Transactions on Signal Processing 64 (3), 543-555, 2015‏
1422015
Principled simplicial neural networks for trajectory prediction‏
TM Roddenberry, N Glaze, S Segarra‏
International Conference on Machine Learning, 9020-9029, 2021‏
1222021
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
1132016
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
1062018
Authorship attribution through function word adjacency networks‏
S Segarra, M Eisen, A Ribeiro‏
IEEE Transactions on Signal Processing 63 (20), 5464-5478, 2015‏
1042015
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
1002019
Blind identification of graph filters‏
S Segarra, G Mateos, AG Marques, A Ribeiro‏
IEEE Transactions on Signal Processing 65 (5), 1146-1159, 2016‏
962016
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
902018
Graph filters for signal processing and machine learning on graphs‏
E Isufi, F Gama, DI Shuman, S Segarra‏
IEEE Transactions on Signal Processing 72, 4745-4781, 2024‏
882024
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
702021
Attributing the authorship of the Henry VI plays by word adjacency‏
S Segarra, M Eisen, G Egan, A Ribeiro‏
Shakespeare Quarterly 67 (2), 232-256, 2016‏
632016
Axiomatic construction of hierarchical clustering in asymmetric networks‏
G Carlsson, F Mémoli, A Ribeiro, S Segarra‏
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013‏
632013
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
592020
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20