Essam Heggy

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Essam Heggy trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Corinna Cortes

Papers from Essam Heggy's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Support-Vector Networks
  3. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
  4. Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) (Natural Hazards)
  5. A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation (Engineering applications of artificial intelligence)
  6. Evaluation of data driven models for river suspended sediment concentration modeling
  7. Gaussian Processes for Machine Learning (GPML) Toolbox
  8. Bayesian generalized least squares regression with application to log Pearson type 3 regional skew estimation
  9. The dual-tree complex wavelet transform
  10. Gaussian process regression with multiple response variables

Their papers