Maria Inês Meyer

2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Maria Inês Meyer trusts overall

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

1. Diederik P. Kingma
2. Andrew L. Maas
3. Kaiming He
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Individualized Treat

Papers from Maria Inês Meyer's perspective

Ordered by how strongly the researchers Maria Inês Meyer 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• End-to-End Adversarial Retinal Image Synthesis (2018) — 396 citations
• Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis (2017) — 68 citations