P. M. Ameer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #11,562 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 6 citations into it; #18,358 of 35,345 by trust here, #25,040 by citations
• Neurology — 6 citations into it; #408 of 1,455 by trust here, #1,097 by citations

Whom P. M. Ameer trusts overall

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

1. Ling Shao
2. Rachna Jain
3. Jun Cheng
4. Chuanqi Tan

Who trusts P. M. Ameer overall

1. Mohammadreza Iman
2. Jaeyong Kang

Papers from P. M. Ameer's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Transfer Learning for Visual Categorization: A Survey (IEEE Transactions on Neural Networks and Learning Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. A Survey on Deep Transfer Learning
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
9. GENERATIVE ADVERSARIAL NETS
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Brain tumor classification using deep CNN features via transfer learning (2019) — 1,106 citations