Mina Rho

Signal Processing · with Im · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 17 citations into it
• Software — 8 citations into it

Whom Mina Rho trusts overall

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

1. Moo K. Chung
2. Geoffrey E. Hinton
3. Vinod Nair
4. Kevin P. Murphy

Papers from Mina Rho's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Multimodal Deep Learning Method for Android Malware Detection Using Various Features (2019) — 453 citations