L. Berrueta

Journal of Chromatography A · 2005–2007

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

Whom L. Berrueta trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Eric R. Ziegel

Who trusts L. Berrueta overall

1. H. K. Kim
2. Y. Choi

Papers from L. Berrueta's perspective

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

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

Their papers

• Supervised pattern recognition in food analysis. (2007) — 919 citations
• Chemometric classification of Basque and French ciders based on their total polyphenol contents and CIELab parameters (2005) — 49 citations
• Classification of apple fruits according to their maturity state by the pattern recognition analysis of their polyphenolic compositions (2005) — 59 citations