Evan W. Newell
Immunology · 2014–2018
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Immunology — 103 citations into it
- Molecular Biology — 62 citations into it; #10,815 of 17,773 by trust here, #5,864 by citations
- Biophysics — 39 citations into it; #734 of 1,196 by trust here, #300 by citations
- Representation & Self-Supervised Learning — 25 citations into it; #2,438 of 3,145 by trust here, #1,395 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Artificial Intelligence — 7 citations into it
- Signal Processing — 7 citations into it
Whom Evan W. Newell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Evan W. Newell overall
Papers from Evan W. Newell's perspective
Ordered by how strongly the researchers Evan W. Newell trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- A global geometric framework for nonlinear dimensionality reduction.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- Attention is All you Need (Neural Information Processing Systems)
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Dimensionality reduction for visualizing single-cell data using UMAP (2018) — 4,708 citations
- Evaluation of UMAP as an alternative to t-SNE for single-cell data (2018) — 52 citations
- Mapping the Diversity of Follicular Helper T Cells in Human Blood and Tonsils Using High-Dimensional Mass Cytometry Analysis. (2015) — 121 citations
- Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates (2018) — 1,219 citations
- Developmental Analysis of Bone Marrow Neutrophils Reveals Populations Specialized in Expansion, Trafficking, and Effector Functions (2018) — 614 citations
- Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline (2016) — 326 citations
- Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species (2016) — 752 citations
- Categorical Analysis of Human T Cell Heterogeneity with One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (2016) — 74 citations
- High-dimensional analysis of the murine myeloid cell system (2014) — 350 citations