| Online censoring for large-scale regressions with application to streaming big data D Berberidis, V Kekatos, GB Giannakis IEEE Transactions on Signal Processing 64 (15), 3854-3867, 2016 | 77 | 2016 |
| Adaptive Bayesian radio tomography D Lee, D Berberidis, GB Giannakis IEEE Transactions on Signal Processing 67 (8), 1964-1977, 2019 | 37 | 2019 |
| Adaptive diffusions for scalable learning over graphs D Berberidis, AN Nikolakopoulos, GB Giannakis IEEE Transactions on Signal Processing 67 (5), 1307-1321, 2018 | 37 | 2018 |
| Graphsac: Detecting anomalies in large-scale graphs VN Ioannidis, D Berberidis, GB Giannakis arXiv preprint arXiv:1910.09589, 2019 | 33 | 2019 |
| Data sketching for large-scale Kalman filtering D Berberidis, GB Giannakis IEEE Transactions on Signal Processing 65 (14), 3688-3701, 2017 | 33 | 2017 |
| Decentralized RLS with data-adaptive censoring for regressions over large-scale networks Z Wang, Z Yu, Q Ling, D Berberidis, GB Giannakis IEEE Transactions on Signal Processing 66 (6), 1634-1648, 2018 | 30 | 2018 |
| Personalized diffusions for top-n recommendation AN Nikolakopoulos, D Berberidis, G Karypis, GB Giannakis Proceedings of the 13th ACM Conference on Recommender Systems, 260-268, 2019 | 21 | 2019 |
| Node embedding with adaptive similarities for scalable learning over graphs D Berberidis, GB Giannakis IEEE Transactions on Knowledge and Data Engineering 33 (2), 637-650, 2019 | 20 | 2019 |
| Large-scale kernel-based feature extraction via low-rank subspace tracking on a budget F Sheikholeslami, D Berberidis, GB Giannakis IEEE Transactions on Signal Processing 66 (8), 1967-1981, 2018 | 17 | 2018 |
| Adaptive censoring for large-scale regressions DK Berberidis, V Kekatos, G Wang, GB Giannakis 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 17 | 2015 |
| Online reconstruction from big data via compressive censoring G Wang, D Berberidis, V Kekatos, GB Giannakis 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 15 | 2014 |
| Gawd: graph anomaly detection in weighted directed graph databases MC Lee, HT Nguyen, D Berberidis, VS Tseng, L Akoglu Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 14 | 2021 |
| Data-adaptive active sampling for efficient graph-cognizant classification D Berberidis, GB Giannakis IEEE Transactions on Signal Processing 66 (19), 5167-5179, 2018 | 14 | 2018 |
| Adadif: Adaptive diffusions for efficient semi-supervised learning over graphs D Berberidis, AN Nikolakopoulos, GB Giannakis 2018 IEEE International Conference on Big Data (Big Data), 92-99, 2018 | 10 | 2018 |
| Adaptive Bayesian channel gain cartography D Lee, D Berberidis, GB Giannakis 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 10 | 2018 |
| Kernel-based low-rank feature extraction on a budget for big data streams F Sheikholeslami, D Berberidis, GB Giannakis 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015 | 10 | 2015 |
| Distributed recursive least-squares with data-adaptive censoring Z Wang, Z Yu, Q Ling, D Berberidis, GB Giannakis 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
| Unveiling anomalous nodes via random sampling and consensus on graphs VN Ioannidis, D Berberidis, GB Giannakis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| Quickest convergence of online algorithms via data selection D Romero, D Berberidis, GB Giannakis 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 5 | 2016 |
| Summarizing labeled multi-graphs D Berberidis, PJ Liang, L Akoglu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 4 | 2022 |
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaВерификована је имејл адреса на umn.edu
