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Dimitris Berberidis

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Papers (8)

  1. Node Embedding with Adaptive Similarities for Scalable Learning over Graphs cs.LG · 2018 · author #1
  2. Adaptive Bayesian Radio Tomography eess.SP · 2018 · author #2
  3. Adaptive Diffusions for Scalable Learning over Graphs stat.ML · 2018 · author #1
  4. Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification stat.ML · 2017 · author #1
  5. Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks cs.SY · 2016 · author #4
  6. Data Sketching for Large-Scale Kalman Filtering stat.AP · 2016 · author #1
  7. Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking stat.ML · 2016 · author #2
  8. Online Censoring for Large-Scale Regressions with Application to Streaming Big Data stat.AP · 2015 · author #1

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