Donald Geman

Molecular Biology · 1984–2014

A researcher in the Science corpus: 8 papers; trusts 61 researchers and is trusted by 2,275 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 38 citations into it; #14,151 of 17,773 by trust here, #6,028 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #967 of 21,575 by trust here, #2,749 by citations
• Artificial Intelligence — 15 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it; #25 of 1,525 by trust here, #36 by citations

Whom Donald Geman trusts overall

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

1. Eric R. Ziegel
2. Robert Tibshirani
3. Vladimir Naumovich Vapnik
4. Geoffrey E. Hinton
5. Trevor J. Hastie
6. Alex Krizhevsky
7. Pedro F. Felzenszwalb
8. Gordon K. Smyth
9. D. Lockhart
10. Ulisses M. Braga-Neto

Who trusts Donald Geman overall

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Song-Chun Zhu
4. Alan L. Yuille
5. Ruslan Salakhutdinov
6. Jitendra Malik
7. Andrew Zisserman
8. Trevor Darrell
9. Li Fei-Fei
10. Andrea Vedaldi

Papers from Donald Geman's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A visual Turing test for computer vision systems (2014)
• Shape Quantization and Recognition with Randomized Trees (1997)
• Coarse-to-Fine Face Detection (2004) — 342 citations
• Comparing machines and humans on a visual categorization test (2011) — 180 citations
• Tackling the widespread and critical impact of batch effects in high-throughput data (2010) — 2,064 citations
• Classifying Gene Expression Profiles from Pairwise mRNA Comparisons (2004) — 348 citations
• Simple decision rules for classifying human cancers from gene expression profiles (2005) — 433 citations
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images (1984)