Eva García-Martín

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Hardware and Architecture — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Information Systems — 5 citations into it

Whom Eva García-Martín trusts overall

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

1. Pedro M. Domingos
2. Albert Bifet
3. Russ Joseph
4. Benjamin C. Lee
5. David M. Brooks
6. Yakun Sophia Shao
7. Christian Szegedy
8. Tien-Ju Yang
9. Karan Singh
10. Dimitrios Stamoulis

Who trusts Eva García-Martín overall

1. Josh Cowls
2. Andreas Tsamados

Papers from Eva García-Martín's perspective

Ordered by how strongly the researchers Eva García-Martín trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Estimation of energy consumption in machine learning (2019) — 492 citations