Thamer Alhussain

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 Thamer Alhussain 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 Thamer Alhussain's perspective

Ordered by how strongly the researchers Thamer Alhussain 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. Parsing Natural Scenes and Natural Language with Recursive Neural Networks
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Convolutional Neural Networks for Sentence Classification
10. Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription

Their papers

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