Julian M. W. Quinn

Artificial Intelligence · 2009–2021

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 Julian M. W. Quinn trusts

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

  1. J. Ross Quinlan (in Artificial Intelligence)

Papers from Julian M. W. Quinn's perspective

Ordered by how strongly the researchers Julian M. W. Quinn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Nearest neighbor pattern classification
  2. Induction of decision trees
  3. Opensmile: the munich versatile and fast open-source audio feature extractor
  4. Applications of Machine Learning in Cancer Prediction and Prognosis (Cancer Informatics)
  5. Random Forests
  6. Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques (Informatics in Medicine Unlocked)
  7. Visualizing the Feature Importance for Black Box Models
  8. Supervised Machine Learning: A Review of Classification Techniques
  9. Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (IEEE Access)
  10. Using methods from the data mining and machine learning literature for disease classification and prediction: A case study examining classification of heart failure sub-types (Journal of Clinical Epidemiology)

Their papers