Maxime Bérar

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Bérar trusts overall

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

  1. Fabien Lotte
  2. Alexandre Barachant
  3. Corinna Cortes
  4. Benjamin Blankertz
  5. K. Müller
  6. Vincent Arsigny
  7. Stéphane Bonnet
  8. Muhammad Naeem

Who trusts Maxime Bérar overall

  1. Dongrui Wu
  2. He He
  3. Ce Ju
  4. Fabien Lotte

Papers from Maxime Bérar's perspective

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

  1. Optimizing Spatial filters for Robust EEG Single-Trial Analysis
  2. An introduction to kernel-based learning algorithms
  3. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices (SIAM Journal on Matrix Analysis and Applications)
  4. Multiclass Brain–Computer Interface Classification by Riemannian Geometry (IEEE Transactions on Biomedical Engineering)
  5. Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces (Proceedings of the IEEE)
  6. Algorithms for Learning Kernels Based on Centered Alignment
  7. Seperability of four-class motor imagery data using independent components analysis (Journal of Neural Engineering)
  8. Classification of covariance matrices using a Riemannian-based kernel for BCI applications (Neurocomputing)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers