Padideh Danaee

Molecular Biology · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 citations into it

Whom Padideh Danaee trusts overall

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

1. Neocles Leontis
2. Bernhard Schölkopf
3. Alex Smola
4. D. Mathews
5. Eric Westhof
6. Huanwang Yang
7. K. Müller

Who trusts Padideh Danaee overall

1. Shiwei Liu
2. Robin Pearce
3. Kengo Sato
4. Jaswinder Singh
5. Tao Shen
6. Decebal Constantin Mocanu
7. Mufti Mahmud
8. Gilbert S. Omenn
9. Manato Akiyama

Papers from Padideh Danaee's perspective

Ordered by how strongly the researchers Padideh Danaee 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• bpRNA: large-scale automated annotation and analysis of RNA secondary structure (2018) — 219 citations
• A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATION (2017) — 295 citations