Jun Zhou

Cognitive Neuroscience · with Dai · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhou trusts overall

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

  1. Yousef Rezaei Tabar
  2. Djork-Arné Clevert
  3. Arthur Le Guennec
  4. Na Lu

Papers from Jun Zhou's perspective

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

  1. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  2. Deep Learning
  3. Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms (IEEE Transactions on Biomedical Engineering)
  4. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface (IEEE World Congress on Computational Intelligence)
  5. A novel deep learning approach for classification of EEG motor imagery signals (Journal of Neural Engineering)
  6. A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines (IEEE transactions on neural systems and rehabilitation engineering)
  7. Deep learning in bioinformatics
  8. Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults: A Review
  9. Data Augmentation for Time Series Classification using Convolutional Neural Networks
  10. Gradient-based learning applied to document recognition

Their papers