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A review of ensemble learning and data augmentation models for class
  imbalanced problems: combination, implementation and evaluation

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

6 April 2023
A. Khan
Omkar Chaudhari
Rohitash Chandra
ArXivPDFHTML

Papers citing "A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation"

13 / 13 papers shown
Title
Imbalanced malware classification: an approach based on dynamic classifier selection
Imbalanced malware classification: an approach based on dynamic classifier selection
J. V. S. Souza
C. B. Vieira
G. D. C. Cunha
R. M. O. Cruz
40
0
0
30 Mar 2025
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
Methusela Sulle
Judith Mwakalonge
G. Comert
Saidi Siuhi
Nana Kankam Gyimah
36
0
0
22 Mar 2025
Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches
Alireza Safarzadeh
Mohammad Reza Jamali
Behzad Moshiri
18
0
0
03 Jan 2025
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced
  Feature Pyramid Network
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
Rasha Alshawi
Md Meftahul Ferdaus
Mahdi Abdelguerfi
Kendall N. Niles
Ken Pathak
Steve Sloan
29
0
0
19 Aug 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of
  Class-Balanced Loss Functions
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
23
1
0
19 Jul 2024
Review of deep learning models for crypto price prediction:
  implementation and evaluation
Review of deep learning models for crypto price prediction: implementation and evaluation
Jingyang Wu
Xinyi Zhang
Fangyixuan Huang
Haochen Zhou
Rohtiash Chandra
27
3
0
19 May 2024
Label Propagation Techniques for Artifact Detection in Imbalanced
  Classes using Photoplethysmogram Signals
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals
Clara Macabiau
Thanh-Dung Le
K. Albert
Mana Shahriari
P. Jouvet
R. Noumeir
AI4TS
23
5
0
16 Aug 2023
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
119
269
0
05 Oct 2021
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language
  Understanding and Generation
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
Yunfan Shao
Zhichao Geng
Yitao Liu
Junqi Dai
Hang Yan
Fei Yang
Li Zhe
Hujun Bao
Xipeng Qiu
MedIm
59
145
0
13 Sep 2021
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
315
0
04 Mar 2020
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li
Xin Yang
Pu Sun
H. Qi
Siwei Lyu
132
1,037
0
27 Sep 2019
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
137
2,701
0
18 Nov 2015
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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