Martin Prlic

Immunology · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Prlic trusts overall

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

  1. L. V. D. van der Maaten
  2. Yvan Saeys
  3. Geoffrey E. Hinton
  4. S. van Gassen
  5. Sean Bendall

Papers from Martin Prlic's perspective

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

  1. Visualizing Data using t-SNE
  2. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  9. Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
  10. Long Short-Term Memory

Their papers