Amin Ul Haq

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amin Ul Haq trusts overall

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

  1. J. Ross Quinlan
  2. Humar Kahramanli
  3. Resul Das
  4. Alper Ünler
  5. Ran Gilad-Bachrach
  6. Huiling Chen
  7. Novruz M. Allahverdi
  8. Franccois Fleuret
  9. Hanchuan Peng
  10. Robert Tibshirani

Papers from Amin Ul Haq's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
  3. Induction of decision trees
  4. Statistical Pattern Recognition
  5. Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
  6. An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction (Expert systems with applications)
  7. Margin based feature selection - theory and algorithms (International Conference on Machine Learning)
  8. Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity (Journal of the Royal Society Interface)
  9. Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (arXiv.org)
  10. International application of a new probability algorithm for the diagnosis of coronary artery disease.

Their papers