Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization

Gaurav Srivastava, Nitesh Pradhan

Abstract: Highlights•Overcoming class imbalance for more accurate Melanoma Detection.•A novel Kemeny–Young rule-based majority voting to overcome class biases.•Optimally aggregating the rank of DCNN Classifiers to improve cumulative performance.•A novel cost-sensitive learning approach using Self-Adaptive Differential Evolution.•State-of-the-art performance on ISIC 2020 dataset.