Mayra Zegarra Rodriguez
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Molecular Biology — 6 citations into it
- Signal Processing — 6 citations into it
Whom Mayra Zegarra Rodriguez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Pavel Berkhin
- Jiawei Han
- Andrew Y. Ng
- David Arthur
- Sylvain Brohée
- C. Perez-Iratxeta
- Arthur P. Dempster
- Douglas Burdick
- Lance Parsons
Who trusts Mayra Zegarra Rodriguez overall
Papers from Mayra Zegarra Rodriguez's perspective
Ordered by how strongly the researchers Mayra Zegarra Rodriguez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Clustering algorithms: A comparative approach (2016) — 543 citations