Moeness G. Amin
Aerospace Engineering · 2013–2019
A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 22 citations into it; #914 of 6,421 by trust here, #1,385 by citations
- Signal Processing — 17 citations into it; #2,275 of 7,572 by trust here, #2,457 by citations
- Biomedical Engineering — 10 citations into it; #5,503 of 10,734 by trust here, #7,854 by citations
- Computational Mechanics — 7 citations into it
- Electrical and Electronic Engineering — 6 citations into it; #8,219 of 16,539 by trust here, #14,379 by citations
- Optimization & Training — 5 citations into it
Whom Moeness G. Amin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stéphane Mallat
- Piya Pal
- Robert Tibshirani
- Shannon D. Blunt
- Joel A. Tropp
- P. Vaidyanathan
- Aboulnasr Hassanien
- Youngwook Kim
- Yimin D. Zhang
- Kaiming He
Who trusts Moeness G. Amin overall
- Fan Liu
- Aboulnasr Hassanien
- Zhiqiang Xiao
- Christos Masouros
- Shunqiao Sun
- Chengwei Zhou
- Yongbo Zeng
- Athina P. Petropulu
- Bryan Paul
- Zhao Tan
Papers from Moeness G. Amin's perspective
Ordered by how strongly the researchers Moeness G. Amin 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Sparsity-based DOA estimation using co-prime arrays (2013) — 367 citations
- Dual-Function Radar Communication Systems: A solution to the spectrum congestion problem (2019) — 407 citations
- Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring (2016) — 378 citations
- Radar-Based Human-Motion Recognition With Deep Learning: Promising applications for indoor monitoring (2019) — 380 citations
- Signaling strategies for dual-function radar communications: an overview (2016) — 340 citations
- Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity (2016) — 595 citations
- Generalized Coprime Array Configurations for Direction-of-Arrival Estimation (2015) — 887 citations