C. Tsekos

2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom C. Tsekos trusts overall

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

1. Gérard Dreyfus
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Nitish Srivastava
5. Jimmy Ba
6. Alex Krizhevsky
7. Yann LeCun
8. Yoshua Bengio
9. Ilya Sutskever
10. Ayhan Demirbas

Papers from C. Tsekos's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Dropout: a simple way to prevent neural networks from overfitting
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks (2021) — 51 citations