Dimitris Berberidis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Adaptive Bayesian Radio Tomography.

[BibT_eX]

[DOI]

Donghoon Lee

IEEE Trans. Signal Process., 2019

Adaptive Diffusions for Scalable Learning Over Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

GraphSAC: Detecting anomalies in large-scale graphs.

[BibT_eX]

[DOI]

Vassilis N. Ioannidis

CoRR, 2019

Personalized diffusions for top-n recommendation.

[BibT_eX]

[DOI]

George Karypis

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Adaptive-similarity node embedding for scalable learning over graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Bayesian Channel Gain Cartography.

[BibT_eX]

[DOI]

Donghoon Lee

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Data Sketching for Large-Scale Kalman Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Distributed recursive least-squares with data-adaptive censoring.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Active sampling for graph-aware classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Memory efficient low-rank non-linear subspace tracking.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Online Censoring for Large-Scale Regressions with Application to Streaming Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking.

[BibT_eX]

[DOI]

CoRR, 2016

Quickest convergence of online algorithms via data selection.

[BibT_eX]

[DOI]

Daniel Romero

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Adaptive censoring for large-scale regressions.

[BibT_eX]

[DOI]

Dimitris K. Berberidis

Gang Wang

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Kernel-based low-rank feature extraction on a budget for big data streams.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Data sketching for tracking large-scale dynamical processes.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Online reconstruction from big data via compressive censoring.

[BibT_eX]

[DOI]

Gang Wang

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Online censoring for large-scale regressions.

[BibT_eX]

[DOI]

Gang Wang