AdvancedML-Project

Class Imbalance, Multi-label, Explainable system

by NK, SP

Fields of interest:

1. Class imbalance
   a. Method : REsampling MultilabEl datasets byDecoupling highly ImbAlanced Labels (REMEDIAL).
   b. Method : Multilabel Synthetic Minority Over-sampling Technique (MLSMOTE).
2. Multi-label learning
   a. Method : Binary relevance (BR).
   b. Method : Multi-label KNN (MLKNN).
3. Explainable system
   a. Method : LIME (Local Interpretable Model-agnostic Explanations).
   b. Method : Multi-label Rule learning.