Alioune Ngom

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 30 citations into it; #12,110 of 17,773 by trust here, #15,531 by citations
• Artificial Intelligence — 23 citations into it
• Statistics and Probability — 17 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Statistical Learning Theory — 9 citations into it
• Analytical Chemistry — 7 citations into it
• Genetics — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Alioune Ngom trusts overall

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

1. Hui Zou
2. Trevor J. Hastie
3. Johan Trygg
4. Robert Tibshirani
5. David E. Heckerman
6. ENCODEConsortium
7. Niko Speybroeck
8. Ulrike von Luxburg
9. Matthew West
10. Jerome H. Friedman

Who trusts Alioune Ngom overall

1. Wenqiang Shi
2. Yifeng Li
3. Wyeth W. Wasserman

Papers from Alioune Ngom's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. A Fast Learning Algorithm for Deep Belief Nets
7. This PDF file includes: Materials and Methods
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A review on machine learning principles for multi-view biological data integration (2016) — 411 citations