M. A. Ganaie

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Optimization & Training — 14 citations into it
• Signal Processing — 11 citations into it
• Statistics and Probability — 8 citations into it
• Management Science and Operations Research — 7 citations into it
• Molecular Biology — 7 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom M. A. Ganaie trusts overall

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

1. Leo Breiman
2. Li Deng
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jerome H. Friedman
6. Yoshua Bengio
7. Yann LeCun
8. Dong Yu
9. Ilya Sutskever
10. Kaiming He

Who trusts M. A. Ganaie overall

1. Azal Ahmad Khan
2. Omkar Chaudhari

Papers from M. A. Ganaie's perspective

Ordered by how strongly the researchers M. A. Ganaie 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Ensemble deep learning: A review (2021) — 2,013 citations