M. Flah

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Electrical and Electronic Engineering — 10 citations into it

Whom M. Flah trusts overall

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

1. G. Huang
2. Ian T. Jolliffe
3. Shengyuan Li
4. Qin-Yu Zhu
5. Lei Chen
6. Robert Hecht-Nielsen
7. Xiao Liang
8. M. Rafiei
9. Karen Simonyan
10. Xuefeng Zhao

Papers from M. Flah's perspective

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

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

Their papers

• Machine learning prediction of mechanical properties of concrete: Critical review (2020) — 702 citations
• Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review (2020) — 454 citations