Saad B. Qaisar
Computational Mechanics · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 43 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it; #15,014 of 21,575 by trust here, #21,103 by citations
- Biomedical Engineering — 23 citations into it
- Electrical and Electronic Engineering — 13 citations into it; #9,075 of 16,539 by trust here, #14,827 by citations
- Signal Processing — 12 citations into it
- Radiology, Nuclear Medicine and Imaging — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Applied Mathematics — 7 citations into it
Whom Saad B. Qaisar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- David L. Donoho
- Joel A. Tropp
- Justin K. Romberg
- Stéphane Mallat
- Richard Baraniuk
- Gitta Kutyniok
- Deanna Needell
- Massimo Piccardi
- Rick Chartrand
Who trusts Saad B. Qaisar overall
Papers from Saad B. Qaisar's perspective
Ordered by how strongly the researchers Saad B. Qaisar 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
- Atomic Decomposition by Basis Pursuit
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Compressive sensing: From theory to applications, a survey (2013) — 463 citations
- Fog Networking for Machine Health Prognosis: A Deep Learning Perspective (2017) — 9 citations
- Underwater Sensor Network Applications: A Comprehensive Survey (2015) — 407 citations