W. de Jong

2004–2021

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

Whom W. de Jong trusts overall

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

1. Gérard Dreyfus
2. Diederik P. Kingma
3. Geoffrey E. Hinton

Papers from W. de Jong's perspective

Ordered by how strongly the researchers W. de Jong 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. Dropout: a simple way to prevent neural networks from overfitting
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Deep Learning
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Thermogravimetry as a tool to classify waste components to be used for energy generation (2004) — 223 citations
• Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks (2021) — 51 citations