Ghada Khoriba
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 — 14 citations into it
- Computational Theory and Mathematics — 8 citations into it
Whom Ghada Khoriba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ghada Khoriba's perspective
Ordered by how strongly the researchers Ghada Khoriba trusts endorse each paper. Same corpus, a different order for every researcher.
- On the efficiency of chaos optimization algorithms for global optimization
- Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms (Applied Soft Computing)
- Feature selection via a novel chaotic crow search algorithm (Neural computing & applications (Print))
- Particle swarm optimization
- Densely Connected Convolutional Networks
- Wrappers for Feature Subset Selection
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Genetic Algorithms in Search Optimization and Machine Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A novel chaotic salp swarm algorithm for global optimization and feature selection (2018) — 366 citations