Bikash Kumar Paul
Artificial Intelligence · 2018–2021
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
- Artificial Intelligence — 9 citations into it
Whom Bikash Kumar Paul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bikash Kumar Paul's perspective
Ordered by how strongly the researchers Bikash Kumar Paul trusts endorse each paper. Same corpus, a different order for every researcher.
- Nearest neighbor pattern classification
- Induction of decision trees
- Applications of Machine Learning in Cancer Prediction and Prognosis (Cancer Informatics)
- Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques (Informatics in Medicine Unlocked)
- Random Forests
- Visualizing the Feature Importance for Black Box Models
- Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (IEEE Access)
- 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)
- Logistic regression and artificial neural network classification models: a methodology review (Journal of Biomedical Informatics)
- Supervised Machine Learning: A Review of Classification Techniques