Results 31 to 40 of about 539,097 (330)
Tackling class imbalance with ranking
2016 International Joint Conference on Neural Networks (IJCNN), 2016 In classification, when there is a disproportion in the number of observations in each class, the data is said to be class imbalance. Class imbalance is pervasive in real world applications of data classification and has been the focus of much research.
Ricardo P. M. Cruz +3 more
openaire +2 more sources
Cost-Sensitive Pattern-Based classification for Class Imbalance problems
IEEE Access, 2019 In several problems, contrast pattern-based classifiers produce high accuracy and provide an explanation of the result in terms of the patterns used for classification. However, class imbalance problems are a great challenge for these classifiers because
Octavio Loyola-Gonzalez +3 more
doaj +1 more source
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance [PDF]
, 2019 Recent developments in the field of deep learning for 3D data have demonstrated promising potential for end-to-end learning directly from point clouds.
Boehm, Jan, Griffiths, David
core +2 more sources
Energies, 2022 Credit default prediction for the energy industry is essential to promoting the healthy development of the energy industry in China. While previous studies have constructed various credit default prediction models with brilliant performance, the class ...
Kui Wang, Jie Wan, Gang Li, Hao Sun
doaj +1 more source
Breast Cancer Diagnosis from Perspective of Class Imbalance [PDF]
Iranian Journal of Medical Physics, 2019 Introduction: Breast cancer is the second cause of mortality among women. Early detection is the only rescue to reduce the risk of breast cancer mortality.
Jue Zhang, Li Chen
doaj +1 more source
Class imbalance techniques for high energy physics
SciPost Physics, 2019 A common problem in a high energy physics experiment is extracting a signal from a much larger background. Posed as a classification task, there is said to be an imbalance in the number of samples belonging to the signal class versus the number of ...
Christopher W. Murphy
doaj +1 more source
A Class Imbalance Loss for Imbalanced Object Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The class imbalance problem exists widely in vision data. In these imbalanced datasets, the majority classes dominate the loss and influence the gradient.
Linbin Zhang +5 more
doaj +1 more source
Class imbalance impact on the prediction of complications during home hospitalization: a comparative study. [PDF]
, 2019 © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new ...
Calvo González, Mireia +6 more
core +1 more source
A dynamic linear model for heteroscedastic LDA under class imbalance [PDF]
, 2019 Linear Discriminant Analysis (LDA) yields the optimal Bayes classifier for binary classification for normally distributed classes with equal covariance.
Brusey, James +3 more
core +1 more source
A New Diversity Technique for Imbalance Learning Ensembles [PDF]
, 2018 Data mining and machine learning techniques designed to solve classification problems require balanced class distribution. However, in reality sometimes the classification of datasets indicates the existence of a class represented by a large number of ...
Abdullah, Dahlan +5 more
core +1 more source