Rajendra Acharya

Artificial Intelligence · with Faust · 2018

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

• Artificial Intelligence — 18 citations into it
• Cardiology and Cardiovascular Medicine — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Rajendra Acharya trusts overall

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

1. Yoshua Bengio
2. Yann LeCun

Papers from Rajendra Acharya's perspective

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

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. This PDF file includes: Materials and Methods
4. A Fast Learning Algorithm for Deep Belief Nets
5. ImageNet classification with deep convolutional neural networks
6. Greedy Layer-Wise Training of Deep Networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Deep Learning
9. Large Scale Distributed Deep Networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Deep learning for healthcare applications based on physiological signals: A review (2018) — 935 citations