Nachaat Mohamed

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Nachaat Mohamed trusts

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

1. Weizhong Yan (in Artificial Intelligence)
2. Simon S. Haykin (in Artificial Intelligence)
3. Soteris A. Kalogirou (in Artificial Intelligence)

Papers from Nachaat Mohamed's perspective

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

1. Deep Learning
2. Learning Deep Architectures for AI
3. Neuronlike adaptive elements that can solve difficult learning control problems
4. Autoencoders, Unsupervised Learning, and Deep Architectures
5. Neural-Network-Based Fuzzy Logic Control and Decision System
6. Kernel Methods for Deep Learning
7. Connectionist expert systems
8. Introduction to the theory of neural computation
9. Understanding of a convolutional neural network (International Conference on Emerging Technologies)
10. Training feedforward networks with the Marquardt algorithm

Their papers

• State-of-the-art in artificial neural network applications: A survey (2018) — 2,641 citations