Multi-Objective, Multi-Class and Multi-Label Data Classification with Class Imbalance: Theory and Practices (Hardcover, 2025)

1. Introduction to Classification.- 2. Class Imbalance and Data Irregularities in Classification.- 3. Multi-class Classification.- 4. Multi-Objective and Multi-Label Classification.- 5. Deep Learning Inspired Multiclass and Multilabel Classification.- 6. Applications of Multi-objective, Multi-label and Multi-class Classifications.