M. Mohammadi
Artificial Intelligence · with Al-Fuqaha · 2015–2018
A researcher in the Science corpus: 6 papers; trusts 251 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #20,705 of 35,345 by trust here, #13,760 by citations
- Computer Vision and Pattern Recognition — 89 citations into it
- Computer Networks and Communications — 81 citations into it; #1,875 of 9,886 by trust here, #302 by citations
- Electrical and Electronic Engineering — 67 citations into it; #14,293 of 16,539 by trust here, #11,641 by citations
- Signal Processing — 25 citations into it
- Model Architectures — 19 citations into it
- Building and Construction — 15 citations into it; #872 of 2,909 by trust here, #598 by citations
- Information Systems — 15 citations into it
Whom M. Mohammadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- L. Eon Bottou
- Sepp Hochreiter
- Alex Graves
Who trusts M. Mohammadi overall
- Fatima Hussain
- Shree Krishna Sharma
- Ala Al-Fuqaha
- Dinh C. Nguyen
- Raghavendra Chalapathy
- Mingzhe Chen
- Xianbin Wang
- Syed Ali Hassan
- Abdullah Alsaedi
- Qinglin Yang
Papers from M. Mohammadi's perspective
Ordered by how strongly the researchers M. Mohammadi 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)
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018) — 376 citations
- Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges (2018) — 306 citations
- Online Auction of Cloud Resources in Support of the Internet of Things (2017) — 30 citations
- Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017) — 1,196 citations
- Toward better horizontal integration among IoT services (2015) — 207 citations
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015) — 7,425 citations