Fariba Mohammadimanesh

Media Technology · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 41 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 24 citations into it
• Ecology — 20 citations into it
• Model Architectures — 9 citations into it
• Environmental Engineering — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Fariba Mohammadimanesh trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Kaiming He
5. Karen Simonyan
6. Yoshua Bengio
7. Christopher K. I. Williams
8. Christian Szegedy
9. Ilya Sutskever
10. François Chollet

Papers from Fariba Mohammadimanesh's perspective

Ordered by how strongly the researchers Fariba Mohammadimanesh 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. Going deeper with convolutions
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review (2020) — 776 citations
• Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery (2018) — 387 citations