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An Empirical Study on the Joint Impact of Feature Selection and Data
  Re-sampling on Imbalance Classification

An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification

1 September 2021
Chongsheng Zhang
Paolo Soda
Jingjun Bi
Gaojuan Fan
G. Almpanidis
S. García
ArXivPDFHTML

Papers citing "An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification"

3 / 3 papers shown
Title
Feature Selection via Robust Weighted Score for High Dimensional Binary
  Class-Imbalanced Gene Expression Data
Feature Selection via Robust Weighted Score for High Dimensional Binary Class-Imbalanced Gene Expression Data
Zardad Khan
Amjad Ali
Saeed Aldahmani
31
4
0
23 Jan 2024
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative
  Models
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models
Moseli Motsóehli
Anna Sergeevna Bosman
J. D. Villiers
AAML
GAN
MGen
32
0
0
01 Nov 2022
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
51
244
0
29 Apr 2021
1