Markus W. Covert
Molecular Biology · 2001–2019
A researcher in the Science corpus: 10 papers; trusts 54 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it; #1,967 of 17,773 by trust here, #2,800 by citations
- Computer Vision and Pattern Recognition — 59 citations into it
- Artificial Intelligence — 50 citations into it
- Genetics — 19 citations into it; #5,199 of 6,854 by trust here, #5,402 by citations
- Biomedical Engineering — 15 citations into it; #9,493 of 10,734 by trust here, #5,494 by citations
Whom Markus W. Covert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson
- Jeremy S. Edwards
- C. Schilling
- Nathan D. Price
- Yoav Benjamini
- K. Datsenko
- Tomer Shlomi
- Radhakrishnan Mahadevan
- Jennie L. Reed
- Rafael U. Ibarra
Who trusts Markus W. Covert overall
- Bernhard O. Palsson
- Jennie L. Reed
- Nathan D. Price
- Maxime Durot
- Karthik Raman
- Pierre-Yves Bourguignon
- Nagasuma R. Chandra
- Edward J. O'Brien
- Oliver Mason
- Jonathan R. Karr
Papers from Markus W. Covert's perspective
Ordered by how strongly the researchers Markus W. Covert trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Metabolic modeling of microbial strains in silico. (2001) — 347 citations
- Integrating high-throughput and computational data elucidates bacterial networks (2004) — 845 citations
- Genome-Scale Metabolic Model of Helicobacter pylori 26695 (2002) — 351 citations
- Regulation of gene expression in flux balance models of metabolism. (2001) — 468 citations
- A Whole-Cell Computational Model Predicts Phenotype from Genotype (2012) — 1,338 citations
- Integrating metabolic, transcriptional regulatory and signal transduction models in Escherichia coli (2008) — 321 citations
- Single-cell NF-κB dynamics reveal digital activation and analog information processing in cells (2010) — 747 citations
- Achieving Stability of Lipopolysaccharide-Induced NF-κB Activation (2005) — 600 citations
- Deep learning for cellular image analysis (2019) — 1,071 citations
- Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments (2016) — 531 citations