On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. - Yuxuan Yang 012; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Aditi Nevgi; Elif Ekinci (ACSW, 2021)

Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data. - Yuxuan Yang 012; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (IJCCI, 2022)

A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. - Yuxuan Yang 012; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (SN Comput. Sci., 2023)

A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems. - Yuxuan Yang 012; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (Frontiers Digit. Health, 2024)