Hossein Sharifi-Noghabi

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it

Whom Hossein Sharifi-Noghabi trusts overall

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

1. Yann LeCun
2. Cédric Févotte
3. Bo Li
4. John C. Duchi
5. Raia Hadsell
6. Florian Schroff
7. W. Johnson
8. Paul Geeleher
9. Yoshua Bengio
10. Geoffrey E. Hinton

Papers from Hossein Sharifi-Noghabi's perspective

Ordered by how strongly the researchers Hossein Sharifi-Noghabi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• MOLI: multi-omics late integration with deep neural networks for drug response prediction (2019) — 325 citations