Mohammad R. Kaazempur Mofrad

Computer Vision and Pattern Recognition · 2017–2018

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

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Mohammad R. Kaazempur Mofrad trusts overall

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

1. L. V. D. van der Maaten

Papers from Mohammad R. Kaazempur Mofrad's perspective

Ordered by how strongly the researchers Mohammad R. Kaazempur Mofrad trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast and accurate view classification of echocardiograms using deep learning (2018) — 503 citations
• Fast and accurate classification of echocardiograms using deep learning (2017) — 24 citations