Effectiveness of Focal Loss for Minority Classification in Network Intrusion Detection Systems

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

Imbalanced Deep Learning by Minority Class Incremental Rectification

(2018) Qi Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

(2017) Salman H. Khan et al.   IEEE Transactions on Neural Networks and Learning Systems

Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

(2016) Adnan Amin et al.   IEEE Access

Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems

(2015) Wing W. Y. Ng et al.   IEEE Transactions on Cybernetics

Multiclass Imbalance Problems: Analysis and Potential Solutions

(2012) Shuo Wang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE