MohammadSajjad Khan

Artificial Intelligence · 2006

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #9,257 of 35,345 by trust here, #21,316 by citations

Whom MohammadSajjad Khan trusts overall

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

1. Lijuan Cao
2. Robert L. Wilby
3. Vladimir Naumovich Vapni

Who trusts MohammadSajjad Khan overall

1. Ravinesh C. Deo
2. Chaopeng Shen
3. Pijush Samui
4. Jan Adamowski
5. A. Belayneh
6. M. Taghi Sattari
7. Barnali Dixon
8. Mukesh Tiwari
9. Mahesh Pal
10. B. Ozga-Zieliński

Papers from MohammadSajjad Khan's perspective

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

1. The Nature of Statistical Learning Theory
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GENERATIVE ADVERSARIAL NETS
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Long Short-Term Memory
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Application of Support Vector Machine in Lake Water Level Prediction (2006) — 249 citations
• Uncertainty analysis of statistical downscaling methods (2006) — 374 citations
• Uncertainty analysis of statistical downscaling methods using Canadian Global Climate Model predictors (2006) — 89 citations