Allen P. Miraflor

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it

Whom Allen P. Miraflor trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Anant Madabhushi
4. Geoffrey E. Hinton
5. Karen Simonyan
6. X. Zhang
7. Yoshua Bengio
8. Ilya Sutskever
9. Christian Szegedy

Papers from Allen P. Miraflor's perspective

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

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

Their papers

• Clinical-grade computational pathology using weakly supervised deep learning on whole slide images (2019) — 2,579 citations
• Deep Learning for Classification of Colorectal Polyps on Whole-slide Images (2017) — 307 citations