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Explainable exclusion in the life insurance using multi-label classifier
Khanh VAN NGUYEN
, Md Rafiqul ISLAM
, Huan HUO
, Peter TILOCCA
,
Guandong XU
Offices of the President (P)
Research output
:
Chapter in Book/Report/Conference proceeding
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Chapters
2
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Citations (Scopus)
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Keyphrases
Insurance Companies
100%
Underwriter
100%
Explainability
100%
Deep Machine Learning
100%
Life Insurance
100%
Binary Relevance
100%
Multi-label Classifier
100%
Copyright
50%
Australia
50%
Quality Assurance
50%
Logistic Regression
50%
Risk Profile
50%
Deep Learning Methods
50%
Machine Learning Techniques
50%
Classification Model
50%
Decision Tree Classifier
50%
Multinomial Naïve Bayes
50%
Regression Forest
50%
Underwriting
50%
Ensemble Learning
50%
Underwriting Cycle
50%
Random Tree
50%
Manual Task
50%
Customer Risk
50%
Label Powerset
50%
Support Vector Machine Classifier
50%
Machine Learning Learning
50%
Classifier Chains
50%
Machine Learning System
50%
Shapley Additive Explanations
50%
Classification Features
50%
Life Insurance Companies
50%
Assurance Report
50%
Disclosure Information
50%
Explainable Machine Learning
50%
Classification Probability
50%
Computer Science
Machine Learning
100%
Blended Learning
33%
Quality Assurance
33%
Deep Learning
33%
Logistic Regression
33%
Classification Models
33%
Machine Learning Technique
33%
Decision Trees
33%
Random Decision Forest
33%
Information Disclosure
33%
Deep Learning
33%
Support Vector
33%
Ensemble Learning
33%
Explainable Artificial Intelligence
33%
Powerset
33%
Shapley Additive Explanation
33%
Decision Tree Classifier
33%
Mathematics
Decision Tree
100%
Deep Learning
100%
Explainability
100%
Probability Theory
50%
Minimizes
50%
Risk Profile
50%
Logistic Regression
50%
Naïve Bayes
50%
Support Vector Machine
50%
Material Science
Made Paper
100%