Online censoring for large-scale regressions. - Dimitris Berberidis; Gang Wang 014; Georgios B. Giannakis; Vassilis Kekatos (ACSSC, 2014)

Online reconstruction from big data via compressive censoring. - Gang Wang 014; Dimitris Berberidis; Vassilis Kekatos; Georgios B. Giannakis (GlobalSIP, 2014)

Data sketching for tracking large-scale dynamical processes. - Dimitris Berberidis; Georgios B. Giannakis (ACSSC, 2015)

Kernel-based low-rank feature extraction on a budget for big data streams. - Fatemeh Sheikholeslami; Dimitris Berberidis; Georgios B. Giannakis (GlobalSIP, 2015)

Adaptive censoring for large-scale regressions. - Dimitris K. Berberidis; Vassilis Kekatos; Gang Wang 014; Georgios B. Giannakis (ICASSP, 2015)

Quickest convergence of online algorithms via data selection. - Daniel Romero 004; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2016)

Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking. - Fatemeh Sheikholeslami; Dimitris Berberidis; Georgios B. Giannakis (CoRR, 2016)

Online Censoring for Large-Scale Regressions with Application to Streaming Big Data. - Dimitris Berberidis; Vassilis Kekatos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2016)

Memory efficient low-rank non-linear subspace tracking. - Fatemeh Sheikholeslami; Dimitris Berberidis; Georgios B. Giannakis (CAMSAP, 2017)

Active sampling for graph-aware classification. - Dimitris Berberidis; Georgios B. Giannakis (GlobalSIP, 2017)

Distributed recursive least-squares with data-adaptive censoring. - Zifeng Wang 003; Zheng Yu; Qing Ling 001; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2017)

Data Sketching for Large-Scale Kalman Filtering. - Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs. - Dimitris Berberidis; Athanasios N. Nikolakopoulos; Georgios B. Giannakis (IEEE BigData, 2018)

Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design. - Dimitris Berberidis; Athanasios N. Nikolakopoulos; Georgios B. Giannakis (ICASSP, 2018)

Adaptive Bayesian Channel Gain Cartography. - Donghoon Lee 005; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2018)

Adaptive-similarity node embedding for scalable learning over graphs. - Dimitris Berberidis; Georgios B. Giannakis (CoRR, 2018)

Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification. - Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget. - Fatemeh Sheikholeslami; Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks. - Zifeng Wang 003; Zheng Yu; Qing Ling 001; Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

Personalized diffusions for top-n recommendation. - Athanasios N. Nikolakopoulos; Dimitris Berberidis; George Karypis; Georgios B. Giannakis (RecSys, 2019)

GraphSAC: Detecting anomalies in large-scale graphs. - Vassilis N. Ioannidis; Dimitris Berberidis; Georgios B. Giannakis (CoRR, 2019)

Adaptive Diffusions for Scalable Learning Over Graphs. - Dimitris Berberidis; Athanasios N. Nikolakopoulos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2019)

Adaptive Bayesian Radio Tomography. - Donghoon Lee 005; Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2019)

Active Learning with Unsupervised Ensembles of Classifiers. - Panagiotis A. Traganitis; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2020)

GAWD: graph anomaly detection in weighted directed graph databases. - Meng-Chieh Lee; Hung T. Nguyen 003; Dimitris Berberidis; Vincent S. Tseng; Leman Akoglu (ASONAM, 2021)

Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. - Vassilis N. Ioannidis; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2021)

Node Embedding with Adaptive Similarities for Scalable Learning over Graphs. - Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Knowl. Data Eng., 2021)

Summarizing Labeled Multi-graphs. - Dimitris Berberidis; Pierre J. Liang; Leman Akoglu (ECML/PKDD (2), 2022)