Ben Tan

Cognitive Neuroscience · with Gao · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Tan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. H. Brendan McMahan

Papers from Ben Tan's perspective

Ordered by how strongly the researchers Ben Tan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Learning
  2. A review of classification algorithms for EEG-based brain–computer interfaces (Journal of Neural Engineering)
  3. Multiclass Brain–Computer Interface Classification by Riemannian Geometry (IEEE Transactions on Biomedical Engineering)
  4. Communication-Efficient Learning of Deep Networks from Decentralized Data
  5. A Kernel Method for the Two-Sample-Problem
  6. Federated Learning of Deep Networks using Model Averaging
  7. BCI2000: a general-purpose brain-computer interface (BCI) system (IEEE Transactions on Biomedical Engineering)
  8. Riemannian Approaches in Brain-Computer Interfaces: A Review (IEEE transactions on neural systems and rehabilitation engineering)
  9. Federated learning of predictive models from federated Electronic Health Records
  10. Classification of covariance matrices using a Riemannian-based kernel for BCI applications (Neurocomputing)

Their papers