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On the Importance of Diversity in Re-Sampling for Imbalanced Data and
  Rare Events in Mortality Risk Models

On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models

Australasian Computer Science Week (ACSW), 2020
15 December 2020
Yuxuan Yang
Yang
Hadi Akbarzadeh Khorshidi
U. Aickelin
Aditi Nevgi
E. Ekinci
ArXiv (abs)PDFHTML

Papers citing "On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models"

2 / 2 papers shown
AutoScore-Imbalance: An interpretable machine learning tool for
  development of clinical scores with rare events data
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan
F. Xie
M. Ong
Yilin Ning
M. Chee
S. Saffari
H. Abdullah
B. Goldstein
B. Chakraborty
Nan Liu
142
24
0
13 Jul 2021
A Synthetic Over-sampling method with Minority and Majority classes for
  imbalance problems
A Synthetic Over-sampling method with Minority and Majority classes for imbalance problems
Hadi Akbarzadeh Khorshidi
U. Aickelin
148
6
0
09 Nov 2020
1
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