Dani Kiyasseh

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #28,212 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Cardiology and Cardiovascular Medicine — 5 citations into it; #502 of 906 by trust here, #850 by citations

Whom Dani Kiyasseh trusts overall

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

1. Pritam Sarkar
2. Geoffrey E. Hinton
3. Kaiming He
4. Ting-Li Chen
5. Maithra Raghu
6. Alex Krizhevsky
7. Yoshua Bengio
8. Diederik P. Kingma
9. Daniel S. Park
10. Yann LeCun

Who trusts Dani Kiyasseh overall

1. Ziyuan Zhao
2. Theodoros Tsiligkaridis

Papers from Dani Kiyasseh's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• CLOCS: Contrastive Learning of Cardiac Signals (2020) — 317 citations
• Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (2020) — 108 citations