Abdallah Qteish

Computational Chemistry & Drug Discovery · 2005–2008

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Abdallah Qteish trusts overall

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

1. David Weininger
2. L. Eon Bottou
3. J. Perdew
4. M. Ernzerhof
5. Lihong Hu
6. Yann LeCun
7. Geoffrey R. Hutchison
8. Jean-Louis Reymond
9. Geoffrey E. Hinton
10. Kieron Burke

Papers from Abdallah Qteish's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Learning representations by back-propagating errors
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Consistent set of band parameters for the group-III nitrides AlN, GaN, and InN (2008) — 349 citations
• Band gap and band parameters of InN and GaN from quasiparticle energy calculations based on exact-exchange density-functional theory (2006) — 146 citations
• Combining GW calculations with exact-exchange density-functional theory: an analysis of valence-band photoemission for compound semiconductors (2005) — 231 citations