Saúl Solorio-Fernández

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Molecular Biology — 12 citations into it
• Optimization & Training — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Saúl Solorio-Fernández trusts overall

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

1. Zheng Zhao
2. Robert Tibshirani
3. Huan Liu
4. Xiaofei He
5. Deng Cai
6. Jiliang Tang
7. Salem Alelyani
8. Corinna Cortes
9. Manoranjan Dash
10. Longbing Cao

Who trusts Saúl Solorio-Fernández overall

1. Arman Malekloo
2. Ekin Ozer

Papers from Saúl Solorio-Fernández's perspective

Ordered by how strongly the researchers Saúl Solorio-Fernández 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A review of unsupervised feature selection methods (2019) — 553 citations