Jose A. Ventura

Plant Science · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 17 citations into it
• Analytical Chemistry — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jose A. Ventura trusts overall

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

1. J. G. Arnal Barbedo
2. Hiroshi Inoue
3. L. V. D. van der Maaten
4. Yu Zhang
5. Geoffrey E. Hinton

Papers from Jose A. Ventura's perspective

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

1. Deep Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. mixup: Beyond Empirical Risk Minimization
5. Visualizing Data using t-SNE
6. Going deeper with convolutions
7. An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing (arXiv.org)
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress (2019) — 295 citations