MohamadAli Torkamani

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Safety, Robustness & Interpretability — 7 citations into it; #1,625 of 2,251 by trust here, #2,242 by citations

Whom MohamadAli Torkamani trusts overall

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

1. Daniel Lowd
2. Lada A. Adamic
3. Amir Globerson
4. B. Taskar
5. Laurent El Ghaoui
6. Gert R. G. Lanckriet
7. Michael Brückner
8. Thorsten Joachims
9. Dimitris J. Bertsimas
10. Sam T. Roweis

Who trusts MohamadAli Torkamani overall

1. Battista Biggio
2. Bo Li
3. Fabio Roli
4. Shike Mei
5. Daniel Zügner
6. Binghui Wang
7. Yevgeniy Vorobeychik
8. Dimitris Tsipras
9. Xiaojin Zhu
10. Neil Zhenqiang Gong

Papers from MohamadAli Torkamani's perspective

Ordered by how strongly the researchers MohamadAli Torkamani 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Max-Margin Markov Networks
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On Robustness and Regularization of Structural Support Vector Machines (2014) — 21 citations
• Convex Adversarial Collective Classification (2013) — 42 citations