Sydney Mambwe Kasongo

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Networks and Communications — 25 citations into it
• Signal Processing — 13 citations into it

Whom Sydney Mambwe Kasongo trusts overall

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

1. Nour Moustafa
2. Chaouki Khammassi
3. Tianqi Chen
4. B. Ingre
5. Jill Slay
6. Kaiyuan Jiang
7. Saoussen Krichen
8. Carlos Guestrin
9. Anamika Yadav
10. Jerome H. Friedman

Who trusts Sydney Mambwe Kasongo overall

1. Adnan Mohsin Abdulazeez

Papers from Sydney Mambwe Kasongo's perspective

Ordered by how strongly the researchers Sydney Mambwe Kasongo 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework (2022) — 344 citations
• A deep learning method with wrapper based feature extraction for wireless intrusion detection system (2020) — 312 citations
• Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset (2020) — 491 citations