Nabila Abraham

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #13,774 of 35,345 by trust here, #23,731 by citations

Whom Nabila Abraham trusts overall

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

1. James Bergstra
2. Moi Hoon Yap
3. Ozan Oktay
4. Yoshua Bengio
5. Rémi Bardenet
6. Evan Shelhamer
7. Noel C. F. Codella
8. Tsung-Yi Lin
9. Olaf Ronneberger
10. Gerard Pons

Who trusts Nabila Abraham overall

1. Michael Yeung
2. Nahian Alam Siddique
3. Gongping Chen
4. Hoel Kervadec
5. Shruti Jadon
6. Evis Sala
7. Sidike Paheding
8. Yu Dai
9. Hasib Zunair
10. Carola-Bibiane Schönlieb

Papers from Nabila Abraham's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
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. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. Fully convolutional networks for semantic segmentation
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation (2018) — 945 citations