M. Rafiei
Civil and Structural Engineering · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 11 citations into it; #3,081 of 6,160 by trust here, #3,042 by citations
- Artificial Intelligence — 10 citations into it
- Control and Systems Engineering — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom M. Rafiei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hojjat Adeli
- John J. Hopfield
- Frauke Friedrichs
- Geoffrey E. Hinton
- Christian Igel
- Ashif Panakkat
- Paul Smolensky
- Jérôme Gilles
- Mehran Ahmadlou
- Chul Min Yeum
Who trusts M. Rafiei overall
- Shengyuan Li
- Yanhui Chen
- Limin Sun
- Xuefeng Zhao
- Xiao Liang
- Kaijian He
- Hojjat Adeli
- Zhiqiang Shang
- M. Flah
- Guangyi Zhou
Papers from M. Rafiei's perspective
Ordered by how strongly the researchers M. Rafiei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2016) — 259 citations
- A novel unsupervised deep learning model for global and local health condition assessment of structures (2018) — 380 citations
- A novel machine learning‐based algorithm to detect damage in high‐rise building structures (2017) — 334 citations
- A New Neural Dynamic Classification Algorithm (2017) — 391 citations