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ORCIDDimitris Berberidis
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2020 – today
- 2022
[c18]Dimitris Berberidis, Pierre J. Liang
, Leman Akoglu:
Summarizing Labeled Multi-graphs. ECML/PKDD (2) 2022: 53-68- [i7]Dimitris Berberidis, Pierre J. Liang, Leman Akoglu:
Summarizing Labeled Multi-Graphs. CoRR abs/2206.07674 (2022) - 2021
- [j8]Dimitris Berberidis, Georgios B. Giannakis:
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs. IEEE Trans. Knowl. Data Eng. 33(2): 637-650 (2021) - [c17]Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu:
GAWD: graph anomaly detection in weighted directed graph databases. ASONAM 2021: 143-150 - [c16]Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis:
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. ICASSP 2021: 5499-5503 - 2020
- [c15]Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis:
Active Learning with Unsupervised Ensembles of Classifiers. ICASSP 2020: 3967-3971
2010 – 2019
- 2019
- [j7]Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Adaptive Diffusions for Scalable Learning Over Graphs. IEEE Trans. Signal Process. 67(5): 1307-1321 (2019) - [j6]Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis:
Adaptive Bayesian Radio Tomography. IEEE Trans. Signal Process. 67(8): 1964-1977 (2019) - [c14]Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis:
Personalized diffusions for top-n recommendation. RecSys 2019: 260-268 - [i6]Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis:
GraphSAC: Detecting anomalies in large-scale graphs. CoRR abs/1910.09589 (2019) - 2018
- [j5]Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis:
Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks. IEEE Trans. Signal Process. 66(6): 1634-1648 (2018) - [j4]Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis:
Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget. IEEE Trans. Signal Process. 66(8): 1967-1981 (2018) - [j3]Dimitris Berberidis, Georgios B. Giannakis:
Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification. IEEE Trans. Signal Process. 66(19): 5167-5179 (2018) - [c13]Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs. IEEE BigData 2018: 92-99 - [c12]Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design. ICASSP 2018: 2811-2815 - [c11]Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis:
Adaptive Bayesian Channel Gain Cartography. ICASSP 2018: 3554-3558 - [i5]Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Adaptive Diffusions for Scalable Learning over Graphs. CoRR abs/1804.02081 (2018) - [i4]Dimitris Berberidis, Georgios B. Giannakis:
Adaptive-similarity node embedding for scalable learning over graphs. CoRR abs/1811.10797 (2018) - 2017
- [j2]Dimitris Berberidis, Georgios B. Giannakis:
Data Sketching for Large-Scale Kalman Filtering. IEEE Trans. Signal Process. 65(14): 3688-3701 (2017) - [c10]Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis:
Memory efficient low-rank non-linear subspace tracking. CAMSAP 2017: 1-5 - [c9]Dimitris Berberidis, Georgios B. Giannakis:
Active sampling for graph-aware classification. GlobalSIP 2017: 648-652 - [c8]Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis:
Distributed recursive least-squares with data-adaptive censoring. ICASSP 2017: 5860-5864 - 2016
- [j1]Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis:
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data. IEEE Trans. Signal Process. 64(15): 3854-3867 (2016) - [c7]Daniel Romero, Dimitris Berberidis, Georgios B. Giannakis:
Quickest convergence of online algorithms via data selection. ICASSP 2016: 6185-6189 - [c6]Dimitris Berberidis, Georgios B. Giannakis:
Data sketching for large-scale Kalman filtering. ICASSP 2016: 6195-6199 - [i3]Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis:
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking. CoRR abs/1601.07947 (2016) - [i2]Dimitris Berberidis, Georgios B. Giannakis:
Data Sketching for Large-Scale Kalman Filtering. CoRR abs/1606.08136 (2016) - [i1]Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis:
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks. CoRR abs/1612.08263 (2016) - 2015
- [c5]Dimitris Berberidis, Georgios B. Giannakis:
Data sketching for tracking large-scale dynamical processes. ACSSC 2015: 345-349 - [c4]Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis:
Kernel-based low-rank feature extraction on a budget for big data streams. GlobalSIP 2015: 928-932 - [c3]Dimitris K. Berberidis, Vassilis Kekatos, Gang Wang, Georgios B. Giannakis:
Adaptive censoring for large-scale regressions. ICASSP 2015: 5475-5479 - 2014
- [c2]Dimitris Berberidis, Gang Wang, Georgios B. Giannakis, Vassilis Kekatos:
Online censoring for large-scale regressions. ACSSC 2014: 14-18 - [c1]Gang Wang, Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis:
Online reconstruction from big data via compressive censoring. GlobalSIP 2014: 326-330
Coauthor Index
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