Documenting evidence of a reuse of ‘a systematic study of the class imbalance problem in convolutional neural networks’

Systematic Study ◽

Class Imbalance ◽

Class Imbalance Problem ◽

A systematic study of the class imbalance problem: Automatically identifying empty camera trap images using convolutional neural networks

Ecological Informatics ◽

10.1016/j.ecoinf.2021.101350 ◽

2021 ◽

pp. 101350

Author(s):

Deng-Qi Yang ◽

Tao Li ◽

Meng-Tao Liu ◽

Xiao-Wei Li ◽

Ben-Hui Chen

Keyword(s):

Neural Networks ◽

Systematic Study ◽

Class Imbalance ◽

Camera Trap ◽

Class Imbalance Problem ◽

A systematic study of the class imbalance problem in convolutional neural networks

Neural Networks ◽

10.1016/j.neunet.2018.07.011 ◽

2018 ◽

Vol 106 ◽

pp. 249-259 ◽

Cited By ~ 329

Author(s):

Mateusz Buda ◽

Atsuto Maki ◽

Maciej A. Mazurowski

Keyword(s):

Neural Networks ◽

Systematic Study ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-020-01773-x ◽

2020 ◽

Cited By ~ 6

Author(s):

Kitsuchart Pasupa ◽

Supawit Vatathanavaro ◽

Suchat Tungjitnob

Keyword(s):

Neural Networks ◽

Red Blood Cells ◽

Blood Cells ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks

Neural Processing Letters ◽

10.1007/s11063-020-10366-w ◽

2020 ◽

Vol 52 (3) ◽

pp. 2637-2653

Author(s):

Zhao Yang ◽

Yuanxin Zhu ◽

Tie Liu ◽

Sai Zhao ◽

Yunyan Wang ◽

...

Keyword(s):

Neural Networks ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Output Layer ◽

Optimization Model of K-Means Clustering Using Artificial Neural Networks to Handle Class Imbalance Problem

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/288/1/012075 ◽

2018 ◽

Vol 288 ◽

pp. 012075 ◽

Cited By ~ 18

Author(s):

Hartono ◽

O S Sitompul ◽

Tulus ◽

E B Nababan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optimization Model ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Imbalance Problem ◽

Artificial Neural

Lecture Notes in Computer Science - Progress in Pattern Recognition, Image Analysis and Applications ◽

An Empirical Study for the Multi-class Imbalance Problem with Neural Networks

10.1007/978-3-540-85920-8_59 ◽

2008 ◽

pp. 479-486 ◽

Cited By ~ 8

Author(s):

R. Alejo ◽

J. M. Sotoca ◽

G. A. Casañ

Keyword(s):

Neural Networks ◽

Empirical Study ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Training cost-sensitive neural networks with methods addressing the class imbalance problem

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2006.17 ◽

2006 ◽

Vol 18 (1) ◽

pp. 63-77 ◽

Cited By ~ 627

Author(s):

Zhi-Hua Zhou ◽

Xu-Ying Liu

Keyword(s):

Neural Networks ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Imbalance Problem ◽

Training Cost

Ensemble of Neural Networks to Solve Class Imbalance Problem of Protein Secondary Structure Prediction

International Journal of Artificial Intelligence & Applications ◽

10.5121/ijaia.2012.3602 ◽

2012 ◽

Vol 3 (6) ◽

pp. 9-20 ◽

Cited By ~ 3

Author(s):

Maryam Alirezaee

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Secondary Structure Prediction ◽

Class Imbalance ◽

Protein Secondary Structure ◽

Protein Secondary Structure Prediction ◽

Class Imbalance Problem ◽

Evaluation of neural networks and data mining methods on a credit assessment task for class imbalance problem

Nonlinear Analysis Real World Applications ◽

10.1016/j.nonrwa.2005.04.006 ◽

2006 ◽

Vol 7 (4) ◽

pp. 720-747 ◽

Cited By ~ 99

Author(s):

Yueh-Min Huang ◽

Chun-Min Hung ◽

Hewijin Christine Jiau

Keyword(s):

Data Mining ◽

Neural Networks ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Assessment Task ◽

Imbalance Problem ◽

Mining Methods

Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31332-6_19 ◽

2019 ◽

pp. 216-224 ◽

Cited By ~ 1

Author(s):

V. M. González-Barcenas ◽

E. Rendón ◽

R. Alejo ◽

E. E. Granda-Gutiérrez ◽

R. M. Valdovinos

Keyword(s):

Neural Networks ◽

Big Data ◽

Deep Learning ◽

Class Imbalance ◽

Class Imbalance Problem ◽