Richard L. Halpert
Immunology · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Immunology — 34 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Representation & Self-Supervised Learning — 18 citations into it; #2,602 of 3,145 by trust here, #2,805 by citations
- Artificial Intelligence — 13 citations into it
- Oncology — 8 citations into it
Whom Richard L. Halpert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Richard L. Halpert overall
Papers from Richard L. Halpert's perspective
Ordered by how strongly the researchers Richard L. Halpert trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Accelerating t-SNE using tree-based algorithms
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- Clustering with t-SNE, provably
- How to Use t-SNE Effectively
- T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data
- Stochastic Neighbor Embedding under f-divergences
- CD28 Negative T cells: is their loss our gain?
- Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data
- Fast Interpolation-based t-SNE for Improved Visualization of Single-Cell RNA-Seq Data
Their papers
- Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets (2018) — 18 citations
- Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets (2019) — 553 citations