Maryam Mahsal Khan

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Maryam Mahsal Khan trusts overall

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

  1. Julian Francis Miller
  2. Kenneth O. Stanley
  3. Hiroaki Kitano
  4. Risto Miikkulainen
  5. Faustino J. Gomez
  6. David E. Moriarty
  7. Karl Sims
  8. Stephen Leslie Smith
  9. R. M. French
  10. Roger Ratcliff

Who trusts Maryam Mahsal Khan overall

  1. Andrew James Turner
  2. Julian Francis Miller

Papers from Maryam Mahsal Khan's perspective

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

  1. Designing Neural Networks Using Genetic Algorithms with Graph Generation System
  2. Clinical applications of artificial neural networks: Evolving artificial neural networks
  3. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
  4. Solving Non-Markovian Control Tasks with Neuro-Evolution
  5. Evolving neural network controllers for unstable systems
  6. Symbiotic Evolution of Neural Networks in Sequential Decision Tasks
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Competitive Coevolution through Evolutionary Complexification
  9. Gradient-based learning applied to document recognition
  10. Evolving 3D Morphology and Behavior by Competition

Their papers