| 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 | 103 | 2017 |
| 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 | 100 | 2014 |
| 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 | 75 | 2017 |
| Tracking switched dynamic network topologies from information cascades B Baingana, GB Giannakis IEEE Transactions on Signal Processing 65 (4), 985-997, 2016 | 53 | 2016 |
| 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 | 43 | 2019 |
| Joint community and anomaly tracking in dynamic networks B Baingana, GB Giannakis IEEE Transactions on Signal Processing 64 (8), 2013-2025, 2015 | 35 | 2015 |
| Nonlinear structural vector autoregressive models for inferring effective brain network connectivity Y Shen, B Baingana, GB Giannakis arXiv preprint arXiv:1610.06551, 2016 | 34 | 2016 |
| 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 | 29 | 2013 |
| 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 | 20 | 2017 |
| 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 | 18 | 2013 |
| 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 | 17 | 2016 |
| 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 | 15 | 2016 |
| 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 | 12 | 2016 |
| Big data analytics for social networks B Baingana, P Traganitis, GB Giannakis, G Mateos, I Pittas Graph-Based Social Media Analysis 39, 293, 2016 | 12 | 2016 |
| IEEE transactions on medical imaging J Shen, B Baingana, GB Giannakis Tech. Rep, 2016 | 11 | 2016 |
| 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 | 8 | 2015 |
| Embedding graphs under centrality constraints for network visualization B Baingana, GB Giannakis arXiv preprint arXiv:1401.4408, 2014 | 7 | 2014 |
| Centrality-constrained graph embedding B Baingana, GB Giannakis 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 7 | 2013 |
| 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 | 6 | 2015 |
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaDirección de correo verificada de umn.edu
