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Dimitris Berberidis

Observed names: Berberidis, Dimitris, D. Berberidis, Dimitris K. Berberidis
ORCID: 0000-0003-3563-6052
Observed ORCID: 0000-0003-3563-6052
OpenAlex ID: A5113836635
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data
2016 · Dimitris Berberidis, Vassilis Kekatos, et al. · IEEE Transactions on Signal Processing · 81
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Adaptive Bayesian Radio Tomography
2019 · Donghoon Lee, Dimitris Berberidis, et al. · IEEE Transactions on Signal Processing · 38
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Adaptive Diffusions for Scalable Learning Over Graphs
2019 · Dimitris Berberidis, Athanasios N. Nikolakopoulos, et al. · IEEE Transactions on Signal Processing · 35
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Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks
2018 · Zifeng Wang, Zheng Yu, et al. · IEEE Transactions on Signal Processing · 31
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Data Sketching for Large-Scale Kalman Filtering
2017 · Dimitris Berberidis, Georgios B. Giannakis · IEEE Transactions on Signal Processing · 27
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GraphSAC: Detecting anomalies in large-scale graphs
2019 · Ioannidis, Vassilis N., Berberidis, Dimitris, et al. · arXiv (Cornell University) · 18
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Personalized diffusions for top-n recommendation
2019 · Athanasios N. Nikolakopoulos, Dimitris Berberidis, et al. · ACM Conference on Recommender Systems (RecSys) · 16
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Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
2019 · Dimitris Berberidis, Georgios B. Giannakis · IEEE Transactions on Knowledge and Data Engineering · 15
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Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget
2018 · Fatemeh Sheikholeslami, Dimitris Berberidis, et al. · IEEE Transactions on Signal Processing · 13
Adaptive censoring for large-scale regressions
2015 · Dimitris K. Berberidis, Vassilis Kekatos, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 12
Online reconstruction from big data via compressive censoring
2014 · Gang Wang, Dimitris Berberidis, et al. · IEEE Global Conference on Signal and Information Processing · 12
Kernel-based low-rank feature extraction on a budget for big data streams
2015 · Fatemeh Sheikholeslami, Dimitris Berberidis, et al. · IEEE Global Conference on Signal and Information Processing · 10
Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification
2018 · Dimitris Berberidis, Georgios B. Giannakis · IEEE Transactions on Signal Processing · 9
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GAWD
2021 · Meng-Chieh Lee, Hung T. Nguyen, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 8
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AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs
2018 · Dimitris Berberidis, Athanasios N. Nikolakopoulos, et al. · IEEE International Conference on Big Data (BigData) · 7
Distributed recursive least-squares with data-adaptive censoring
2017 · Zifeng Wang, Zheng Yu, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 6
Quickest convergence of online algorithms via data selection
2016 · Daniel Romero, Dimitris Berberidis, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 6
Data sketching for large-scale Kalman filtering
2016 · Dimitris Berberidis, Georgios B. Giannakis · IEEE International Conference on Acoustics Speech and Signal Processing · 6
Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design
2018 · Dimitris Berberidis, Athanasios N. Nikolakopoulos, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 5
Adaptive Bayesian Channel Gain Cartography
2018 · Donghoon Lee, Dimitris Berberidis, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs
2021 · Vassilis N. Ioannidis, Dimitris Berberidis, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 3
Active sampling for graph-aware classification
2017 · Dimitris Berberidis, Georgios B. Giannakis · IEEE Global Conference on Signal and Information Processing · 3
Online censoring for large-scale regressions
2014 · D. Berberidis, G. Wang, et al. · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · 3
Summarizing Labeled Multi-graphs
2023 · Dimitris Berberidis, Pierre J. Liang, et al. · Lecture notes in computer science · 1
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Adaptive Diffusions for Scalable Learning over Graphs (MLG@KDD18)
2018 · Dimitris Berberidis, Αθανάσιος Ν. Νικολακόπουλος, et al. · 1
Works count: 31
Citation count: 372
H-index: 11
I10-index: 12
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