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Brian Baingana
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Cited by
Year
Kernel-based structural equation models for topology identification of directed networks
Y Shen, B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 65 (10), 2503-2516, 2017
1052017
Proximal-gradient algorithms for tracking cascades over social networks
B Baingana, G Mateos, GB Giannakis
IEEE Journal of Selected Topics in Signal Processing 8 (4), 563-575, 2014
1022014
Tensor decompositions for identifying directed graph topologies and tracking dynamic networks
Y Shen, B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 65 (14), 3675-3687, 2017
782017
Tracking switched dynamic network topologies from information cascades
B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 65 (4), 985-997, 2016
532016
Nonlinear structural vector autoregressive models with application to directed brain networks
Y Shen, GB Giannakis, B Baingana
IEEE Transactions on Signal Processing 67 (20), 5325-5339, 2019
472019
Joint community and anomaly tracking in dynamic networks
B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 64 (8), 2013-2025, 2015
352015
Nonlinear structural vector autoregressive models for inferring effective brain network connectivity
Y Shen, B Baingana, GB Giannakis
arXiv preprint arXiv:1610.06551, 2016
342016
Identifiability of sparse structural equation models for directed and cyclic networks
JA Bazerque, B Baingana, GB Giannakis
2013 IEEE Global Conference on Signal and Information Processing, 839-842, 2013
292013
Topology inference of directed graphs using nonlinear structural vector autoregressive models
Y Shen, B Baingana, GB Giannakis
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
212017
Dynamic structural equation models for tracking topologies of social networksy
B Baingana, G Mateos, GB Giannakis
2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013
182013
Egonet tensor decomposition for community identification
F Sheikholeslami, B Baingana, GB Giannakis, ND Sidiropoulos
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
172016
Nonlinear structural equation models for network topology inference
Y Shen, B Baingana, GB Giannakis
2016 Annual Conference on Information Science and Systems (CISS), 163-168, 2016
152016
Inferring directed network topologies via tensor factorization
Y Shen, B Baingana, GB Giannakis
2016 50th Asilomar Conference on Signals, Systems and Computers, 1739-1743, 2016
122016
IEEE transactions on medical imaging
J Shen, B Baingana, GB Giannakis
IEEE,, 2016
122016
Big data analytics for social networks
B Baingana, P Traganitis, GB Giannakis, G Mateos, I Pittas
Graph-Based Social Media Analysis 39, 293, 2016
122016
Robust kriged Kalman filtering
B Baingana, E Dall'Anese, G Mateos, GB Giannakis
2015 49th Asilomar Conference on Signals, Systems and Computers, 1525-1529, 2015
82015
Centrality-constrained graph embedding
B Baingana, GB Giannakis
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
82013
Embedding graphs under centrality constraints for network visualization
B Baingana, GB Giannakis
arXiv preprint arXiv:1401.4408, 2014
72014
Nonlinear structural vector autoregressive models for inferring effective brain network connectivity; 2016
Y Shen, B Baingana, GB Giannakis
arXiv preprint arXiv:1610.06551, 0
7
Switched dynamic structural equation models for tracking social network topologies
B Baingana, GB Giannakis
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
62015
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