Gul Muhammad Khan

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 6 papers; trusts 38 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #13,683 of 35,345 by trust here, #23,077 by citations
• Electrical and Electronic Engineering — 12 citations into it; #9,986 of 16,539 by trust here, #14,827 by citations
• Cognitive Neuroscience — 11 citations into it
• Evolutionary Computation — 9 citations into it
• Cellular and Molecular Neuroscience — 7 citations into it
• Model Architectures — 7 citations into it

Whom Gul Muhammad Khan trusts overall

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

1. Julian Francis Miller
2. Kenneth O. Stanley
3. Dominic Edward Job
4. Arthur L. Samuel
5. Henry Markram
6. Vesselin K. Vassilev
7. Risto Miikkulainen
8. U. Frey
9. Roger Ratcliff
10. R. M. French

Who trusts Gul Muhammad Khan overall

1. Julian Francis Miller
2. Andrea Soltoggio
3. Andrew James Turner
4. Kenneth O. Stanley
5. Sebastian Risi
6. Dat Thanh Tran
7. Martin Magris
8. Adamantios Ntakaris
9. Oliver J. Coleman

Papers from Gul Muhammad Khan's perspective

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

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

Their papers

• Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture (2011) — 27 citations
• Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network (2014) — 51 citations
• Developmental Plasticity in Cartesian Genetic Programming based Neural Networks (2016) — 4 citations
• In search of intelligence: evolving a developmental neuron capable of learning (2014) — 6 citations
• Evolution of neural networks using Cartesian Genetic Programming (2010) — 48 citations
• Coevolution of Neuro-developmental Programs That Play Checkers (2008) — 12 citations