Nil Sahin

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 citations into it
• Biophysics — 15 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Nil Sahin trusts overall

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

1. Radford M. Neal
2. Oren Z. Kraus
3. John F. Canny
4. Rfdo 2XWOLHUV
5. Geoffrey E. Hinton

Papers from Nil Sahin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Learning
3. Pattern Recognition and Machine Learning
4. Visualizing Data using t-SNE
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. The Elements of Statistical Learning
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine learning and computer vision approaches for phenotypic profiling (2017) — 154 citations