M. H. Zafar

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 36 citations into it
• Experimental and Cognitive Psychology — 34 citations into it
• Artificial Intelligence — 31 citations into it

Whom M. H. Zafar trusts

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

1. Nelson Morgan (in Artificial Intelligence)
2. Björn Schuller (in Signal Processing)

Papers from M. H. Zafar's perspective

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

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Learning Deep Architectures for AI
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Parsing Natural Scenes and Natural Language with Recursive Neural Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019) — 556 citations