Mohammed Majeed Hameed

Artificial Intelligence · 2021

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 Mohammed Majeed Hameed trusts overall

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

  1. G. Huang
  2. Cort J. Willmott
  3. Hamed Azimi
  4. Pierre Geurts
  5. Trevor J. Hastie
  6. Andy Liaw
  7. Kenji Matsuura
  8. Hossein Bonakdari
  9. Leo Breiman
  10. Qin-Yu Zhu

Papers from Mohammed Majeed Hameed's perspective

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

  1. Random Forests
  2. Extreme learning machine: Theory and applications
  3. Extremely randomized trees
  4. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
  5. Extreme Learning Machine for Regression and Multiclass Classification
  6. Classification and Regression by randomForest
  7. Review and statistical analysis of different global solar radiation sunshine models
  8. Prediction of discharge coefficient of triangular labyrinth weirs using Adaptive Neuro Fuzzy Inference System (Alexandria Engineering Journal)
  9. Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel (Applied Water Science)
  10. Support-Vector Networks

Their papers