Mohammed Ali Al-Garadi
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 197 citations into it; #31,194 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 170 citations into it; #19,184 of 21,575 by trust here, #11,286 by citations
- Computer Networks and Communications — 112 citations into it; #8,650 of 9,886 by trust here, #2,196 by citations
- Signal Processing — 63 citations into it
- Information Systems — 49 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- Control and Systems Engineering — 21 citations into it
- Radiology, Nuclear Medicine and Imaging — 21 citations into it
Whom Mohammed Ali Al-Garadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Tom Fawcett
- Yann LeCun
- Ilya Sutskever
- Ron Kohavi
- Harry Zhang
- Alex Hai Wang
Who trusts Mohammed Ali Al-Garadi overall
Papers from Mohammed Ali Al-Garadi's perspective
Ordered by how strongly the researchers Mohammed Ali Al-Garadi 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions (2019) — 358 citations
- Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network (2016) — 343 citations
- Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges (2019) — 297 citations
- Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges (2018) — 827 citations
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018) — 1,073 citations