Dimitris Berberidis

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 28

Top Topics

Active Sampling

Kalman Filtering

Detecting Anomalies

Nonlinear Kernel

Top Venues

IEEE Trans. Signal Process.

Publications

Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
Summarizing Labeled Multi-Graphs. CoRR (2022)
Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
Summarizing Labeled Multi-graphs. ECML/PKDD (2) (2022)
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. ICASSP (2021)
Dimitris Berberidis, Georgios B. Giannakis
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu
GAWD: graph anomaly detection in weighted directed graph databases. ASONAM (2021)
Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis
Active Learning with Unsupervised Ensembles of Classifiers. ICASSP (2020)
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
GraphSAC: Detecting anomalies in large-scale graphs. CoRR (2019)
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis
Adaptive Bayesian Radio Tomography. IEEE Trans. Signal Process. 67 (8) (2019)
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Adaptive Diffusions for Scalable Learning Over Graphs. IEEE Trans. Signal Process. 67 (5) (2019)
Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis
Personalized diffusions for top-n recommendation. RecSys (2019)
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Adaptive Diffusions for Scalable Learning over Graphs. CoRR (2018)
Dimitris Berberidis, Georgios B. Giannakis
Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification. IEEE Trans. Signal Process. 66 (19) (2018)
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design. ICASSP (2018)
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) (2018)
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis
Adaptive Bayesian Channel Gain Cartography. ICASSP (2018)
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs. IEEE BigData (2018)
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) (2018)
Dimitris Berberidis, Georgios B. Giannakis
Adaptive-similarity node embedding for scalable learning over graphs. CoRR (2018)
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
Memory efficient low-rank non-linear subspace tracking. CAMSAP (2017)
Dimitris Berberidis, Georgios B. Giannakis
Data Sketching for Large-Scale Kalman Filtering. IEEE Trans. Signal Process. 65 (14) (2017)
Dimitris Berberidis, Georgios B. Giannakis
Active sampling for graph-aware classification. GlobalSIP (2017)
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
Distributed recursive least-squares with data-adaptive censoring. ICASSP (2017)
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) (2016)
Daniel Romero, Dimitris Berberidis, Georgios B. Giannakis
Quickest convergence of online algorithms via data selection. ICASSP (2016)
Dimitris Berberidis, Georgios B. Giannakis
Data sketching for large-scale Kalman filtering. ICASSP (2016)
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking. CoRR (2016)
Dimitris Berberidis, Georgios B. Giannakis
Data Sketching for Large-Scale Kalman Filtering. CoRR (2016)
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks. CoRR (2016)
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
Kernel-based low-rank feature extraction on a budget for big data streams. GlobalSIP (2015)
Dimitris Berberidis, Georgios B. Giannakis
Data sketching for tracking large-scale dynamical processes. ACSSC (2015)
Gang Wang, Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis
Online reconstruction from big data via compressive censoring. GlobalSIP (2014)
Dimitris Berberidis, Gang Wang, Georgios B. Giannakis, Vassilis Kekatos
Online censoring for large-scale regressions. ACSSC (2014)