R. M. Alonso-Salces

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 R. M. Alonso-Salces trusts overall

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

1. Yann LeCun
2. Yoshua Bengio

Who trusts R. M. Alonso-Salces overall

1. A. Cruz
2. H. K. Kim

Papers from R. M. Alonso-Salces's perspective

Ordered by how strongly the researchers R. M. Alonso-Salces 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. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
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