Abdelouahid Derhab
Computer Networks and Communications · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 78 citations into it
- Artificial Intelligence — 61 citations into it
- Information Systems — 56 citations into it
Whom Abdelouahid Derhab trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Oscar Novo
- Yoshua Bengio
- Ilya Sutskever
- Tomas Mikolov
- Yajin Zhou
- Alex Krizhevsky
- Yann LeCun
- Jeffrey Pennington
- Michael Spreitzenbarth
Who trusts Abdelouahid Derhab overall
Papers from Abdelouahid Derhab's perspective
Ordered by how strongly the researchers Abdelouahid Derhab 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- GloVe: Global Vectors for Word Representation
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues (2020) — 546 citations
- Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020) — 319 citations
- Blockchain Technologies for the Internet of Things: Research Issues and Challenges (2018) — 633 citations
- MalDozer: Automatic framework for android malware detection using deep learning (2018) — 361 citations