M. Bakator

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 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 — 20 citations into it
• Radiology, Nuclear Medicine and Imaging — 18 citations into it

Whom M. Bakator trusts overall

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

1. Kenji Suzuki
2. Xue-wen Chen
3. Dinggang Shen
4. David Moher
5. Polina Mamoshina
6. Riccardo Miotto
7. Xiangyu Chen
8. Harry Pratt
9. Jian Wei
10. Pim Moeskops

Who trusts M. Bakator overall

1. Mohammad Amin Morid

Papers from M. Bakator's perspective

Ordered by how strongly the researchers M. Bakator 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning and Medical Diagnosis: A Review of Literature (2018) — 462 citations