Yasser Ganjisaffar

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #17,973 of 35,345 by trust here, #25,809 by citations
• Information Systems — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Yasser Ganjisaffar trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. C. Burges
4. Geoffrey I. Webb
5. Koby Crammer
6. Kalervo Järvelin
7. Maksims Volkovs
8. Trevor J. Hastie
9. Zhe Cao
10. Yoram Singer

Who trusts Yasser Ganjisaffar overall

1. Sebastian Bruch
2. Jimmy J. Lin
3. Julian Hagenauer
4. Nick Craswell
5. Wayne Xin Zhao
6. Joel M. Mackenzie
7. Yang Yu
8. Marco Helbich
9. Bhaskar Mitra
10. J. Shane Culpepper

Papers from Yasser Ganjisaffar's perspective

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

Their papers

• Bagging gradient-boosted trees for high precision, low variance ranking models (2011) — 214 citations