Carlos Vidal

Automotive Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 18 citations into it
• Electrical and Electronic Engineering — 15 citations into it
• Control and Systems Engineering — 11 citations into it

Whom Carlos Vidal trusts overall

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

1. Ephrem Chemali
2. Sepp Hochreiter
3. Mohammad Charkhgard
4. Hicham Chaoui
5. A. Shrestha
6. Razvan Pascanu
7. Ho-Ta Lin
8. Wei He
9. Xiaosong Hu
10. Bhaskar Saha

Papers from Carlos Vidal's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Deep Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. On the difficulty of training recurrent neural networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art (2020) — 385 citations