Haz-Edine Assemlal

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 5 citations into it

Whom Haz-Edine Assemlal trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Timothy Dozat
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. George E. Dahl
7. Ilya Sutskever
8. Christian Szegedy
9. Trevor J. Hastie

Who trusts Haz-Edine Assemlal overall

1. Arvid Lundervold

Papers from Haz-Edine Assemlal's perspective

Ordered by how strongly the researchers Haz-Edine Assemlal trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Deep Architectures for AI

Their papers

• Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases (2018) — 28 citations