Vendula

2019

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

Whom Vendula trusts overall

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

  1. L. V. D. van der Maaten

Papers from Vendula's perspective

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

  1. Accelerating t-SNE using tree-based algorithms
  2. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  3. Computational flow cytometry: helping to make sense of high-dimensional immunology data (Nature reviews. Immunology)
  4. Approximated and User Steerable tSNE for Progressive Visual Analytics
  5. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
  6. Dimensionality reduction for visualizing single-cell data using UMAP
  7. FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
  8. Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data
  9. Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets
  10. Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Their papers