Arash Gharehbaghi
Cardiology and Cardiovascular Medicine · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cardiology and Cardiovascular Medicine — 15 citations into it
- Cognitive Neuroscience — 12 citations into it
- Artificial Intelligence — 9 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Arash Gharehbaghi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Arash Gharehbaghi's perspective
Ordered by how strongly the researchers Arash Gharehbaghi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- How transferable are features in deep neural networks?
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Their papers
- A review on deep learning methods for ECG arrhythmia classification (2020) — 454 citations