Mamoun Alazab

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 10 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 121 citations into it
• Information Systems — 69 citations into it
• Computer Vision and Pattern Recognition — 64 citations into it
• Radiology, Nuclear Medicine and Imaging — 59 citations into it
• Neurology — 8 citations into it
• Food Science — 5 citations into it
• Medical Imaging — 5 citations into it

Whom Mamoun Alazab trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. L. V. D. van der Maaten
5. Xavier Glorot
6. Dit-Yan Yeung
7. Wenke Lee
8. Gideon Creech
9. Nevio Benvenuto
10. Christian Szegedy

Who trusts Mamoun Alazab overall

1. Tausif Diwan
2. Ke He

Papers from Mamoun Alazab's perspective

Ordered by how strongly the researchers Mamoun Alazab trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020) — 448 citations
• An ensemble machine learning approach through effective feature extraction to classify fake news (2021) — 341 citations
• Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022) — 300 citations
• An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture (2020) — 394 citations
• Image-Based malware classification using ensemble of CNN architectures (IMCEC) (2020) — 357 citations
• Blockchain for Industry 4.0: A Comprehensive Review (2020) — 518 citations
• IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture (2020) — 447 citations
• A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU (2020) — 303 citations
• Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020) — 396 citations
• Deep Learning Approach for Intelligent Intrusion Detection System (2019) — 1,514 citations