Mohamed Hassan Haggag

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

Whom Mohamed Hassan Haggag trusts

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

  1. Mengjie Zhang (in Artificial Intelligence)
  2. Bing Xue (in Artificial Intelligence)
  3. Will N. Browne (in Artificial Intelligence)

Papers from Mohamed Hassan Haggag's perspective

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

  1. On the efficiency of chaos optimization algorithms for global optimization
  2. Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms (Applied Soft Computing)
  3. Feature selection via a novel chaotic crow search algorithm (Neural computing & applications (Print))
  4. Particle swarm optimization
  5. Wrappers for Feature Subset Selection
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Densely Connected Convolutional Networks
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. An Introduction to Variable and Feature Selection
  10. Learning Transferable Architectures for Scalable Image Recognition

Their papers