Keith A. Boroevich
Nature Genetics · 2012–2020
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Keith A. Boroevich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Keith A. Boroevich's perspective
Ordered by how strongly the researchers Keith A. Boroevich trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- Stochastic Neighbor Embedding
- The Random Subspace Method for Constructing Decision Forests
- Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
- Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations (Genome Medicine)
- Landscape of somatic mutations in 560 breast cancer whole genome sequences (Nature)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture (2019) — 393 citations
- Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (2020) — 508 citations
- Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer (2016) — 632 citations
- Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators (2012) — 856 citations