James Stephen Marron

Molecular Biology · 1997–2018

A researcher in the Science corpus: 23 papers; trusts 22 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Molecular Biology — 87 citations into it; #11,294 of 17,773 by trust here, #2,053 by citations
Artificial Intelligence — 37 citations into it; #6,555 of 35,345 by trust here, #3,859 by citations
Statistics and Probability — 31 citations into it; #2,282 of 12,932 by trust here, #1,484 by citations
Computer Vision and Pattern Recognition — 23 citations into it; #15,577 of 21,575 by trust here, #18,782 by citations
Computational Theory and Mathematics — 15 citations into it
Mathematical Physics — 11 citations into it; #4,565 of 8,562 by trust here, #1,895 by citations
Probabilistic & Bayesian Methods — 11 citations into it
Geometry and Topology — 6 citations into it

Whom James Stephen Marron trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts James Stephen Marron overall

Papers from James Stephen Marron's perspective

Ordered by how strongly the researchers James Stephen Marron trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Regression Shrinkage and Selection via the Lasso
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Estimating the Dimension of a Model
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)

Their papers

Geometric representation of high dimension, low sample size data (2005) — 567 citations
PCA CONSISTENCY IN HIGH DIMENSION, LOW SAMPLE SIZE CONTEXT (2009) — 329 citations
The high-dimension, low-sample-size geometric representation holds under mild conditions (2007) — 183 citations
Repeated observation of breast tumor subtypes in independent gene expression data sets (2003) — 5,528 citations
Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data (2008) — 320 citations
Adjustment of systematic microarray data biases (2004) — 442 citations
JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES (2011) — 536 citations
Persistent Homology Analysis of Brain Artery Trees (2014) — 298 citations
A method for normalizing histology slides for quantitative analysis (2009) — 1,467 citations
Sticky central limit theorems on open books (2012) — 109 citations
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype (2018) — 303 citations
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology (2018) — 69 citations
Comprehensive genomic characterization of head and neck squamous cell carcinomas (2015) — 3,702 citations
Comprehensive genomic characterization of squamous cell lung cancers (2012) — 3,784 citations
The maximal data piling direction for discrimination (2010) — 87 citations
A Six-Gene Signature Predicts Survival of Patients with Localized Pancreatic Ductal Adenocarcinoma (2010) — 224 citations
Supervised risk predictor of breast cancer based on intrinsic subtypes. (2009) — 4,443 citations
Sure independence screening for ultrahigh dimensional feature space Discussion (2008) — 358 citations
Advanced Distribution Theory for SiZer (2006) — 114 citations
Mode testing via the excess mass estimate (2001) — 74 citations