Barbara E. Engelhardt
Molecular Biology · 2005–2020
A researcher in the Science corpus: 11 papers; trusts 61 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 141 citations into it
- Genetics — 107 citations into it
- Artificial Intelligence — 64 citations into it; #29,909 of 35,345 by trust here, #16,471 by citations
- Information Systems — 43 citations into it
- Statistics and Probability — 34 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Epidemiology — 22 citations into it; #795 of 2,148 by trust here, #1,182 by citations
- Management Science and Operations Research — 20 citations into it
Whom Barbara E. Engelhardt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph Felsenstein
- Michael P. Cummings
- Yehuda Koren
- David M. Blei
- Radford M. Neal
- Michael E. Tipping
- Geoffrey E. Hinton
- Michael I. Jordan
- Robert Tibshirani
- Francis R. Bach
Who trusts Barbara E. Engelhardt overall
Papers from Barbara E. Engelhardt's perspective
Ordered by how strongly the researchers Barbara E. Engelhardt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units (2017) — 196 citations
- Understanding mechanisms underlying human gene expression variation with RNA sequencing (2010) — 1,311 citations
- Protein Molecular Function Prediction by Bayesian Phylogenomics (2005) — 209 citations
- Genetic effects on gene expression across human tissues (2017) — 3,717 citations
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (2019) — 4,770 citations
- How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (2017) — 397 citations
- Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics (2016) — 1,036 citations
- An Optimal Policy for Patient Laboratory Tests in Intensive Care Units (2018) — 32 citations
- The impact of sex on gene expression across human tissues (2020) — 618 citations
- Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction (2017) — 36 citations
- Bayesian group factor analysis with structured sparsity (2016) — 171 citations