I. Kwok

Representation & Self-Supervised Learning · 2018

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

Subfields

Whom I. Kwok trusts overall

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

  1. L. V. D. van der Maaten
  2. Leland McInnes

Who trusts I. Kwok overall

  1. Dmitry Kobak

Papers from I. Kwok's perspective

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

  1. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
  2. Accelerating t-SNE using tree-based algorithms
  3. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  4. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
  5. Computational flow cytometry: helping to make sense of high-dimensional immunology data (Nature reviews. Immunology)
  6. Automated Mapping of Phenotype Space with Single-Cell Data (Nature Methods)
  7. How to Use t-SNE Effectively
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers