Dimitris Berberidis

32 papers A 1B 1Misc 9Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
Summarizing Labeled Multi-Graphs.
CoRR
Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
2022 — conf
Summarizing Labeled Multi-graphs.
ECML/PKDD (2)
Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
2021 B conf
GAWD: graph anomaly detection in weighted directed graph databases.
ASONAM
Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu
2021 J jnl
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs.
IEEE Trans. Knowl. Data Eng.
Dimitris Berberidis, Georgios B. Giannakis
2021 Misc conf
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs.
ICASSP
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
2020 Misc conf
Active Learning with Unsupervised Ensembles of Classifiers.
ICASSP
Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis
2019 J jnl
Adaptive Bayesian Radio Tomography.
IEEE Trans. Signal Process.
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis
2019 J jnl
Adaptive Diffusions for Scalable Learning Over Graphs.
IEEE Trans. Signal Process.
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2019 J jnl
GraphSAC: Detecting anomalies in large-scale graphs.
CoRR
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
2019 A conf
Personalized diffusions for top-n recommendation.
RecSys
Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis
2018 — conf
AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs.
IEEE BigData
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2018 Misc conf
Adaptive Bayesian Channel Gain Cartography.
ICASSP
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis
2018 J jnl
Adaptive Diffusions for Scalable Learning over Graphs.
CoRR
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2018 J jnl
Adaptive-similarity node embedding for scalable learning over graphs.
CoRR
Dimitris Berberidis, Georgios B. Giannakis
2018 J jnl
Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification.
IEEE Trans. Signal Process.
Dimitris Berberidis, Georgios B. Giannakis
2018 J jnl
Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks.
IEEE Trans. Signal Process.
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2018 J jnl
Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget.
IEEE Trans. Signal Process.
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2018 Misc conf
Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design.
ICASSP
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
2017 — conf
Active sampling for graph-aware classification.
GlobalSIP
Dimitris Berberidis, Georgios B. Giannakis
2017 J jnl
Data Sketching for Large-Scale Kalman Filtering.
IEEE Trans. Signal Process.
Dimitris Berberidis, Georgios B. Giannakis
2017 Misc conf
Distributed recursive least-squares with data-adaptive censoring.
ICASSP
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2017 — conf
Memory efficient low-rank non-linear subspace tracking.
CAMSAP
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2016 J jnl
Data Sketching for Large-Scale Kalman Filtering.
CoRR
Dimitris Berberidis, Georgios B. Giannakis
2016 Misc conf
Data sketching for large-scale Kalman filtering.
ICASSP
Dimitris Berberidis, Georgios B. Giannakis
2016 J jnl
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks.
CoRR
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2016 J jnl
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking.
CoRR
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2016 J jnl
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data.
IEEE Trans. Signal Process.
Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis
2016 Misc conf
Quickest convergence of online algorithms via data selection.
ICASSP
Daniel Romero, Dimitris Berberidis, Georgios B. Giannakis
2015 Misc conf
Data sketching for tracking large-scale dynamical processes.
ACSSC
Dimitris Berberidis, Georgios B. Giannakis
2015 — conf
Kernel-based low-rank feature extraction on a budget for big data streams.
GlobalSIP
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
2014 Misc conf
Online censoring for large-scale regressions.
ACSSC
Dimitris Berberidis, Gang Wang, Georgios B. Giannakis, Vassilis Kekatos
2014 — conf
Online reconstruction from big data via compressive censoring.
GlobalSIP
Gang Wang, Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis