Results 41 to 50 of about 4,590,312 (339)
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
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
The Effect of Class Imbalance Handling on Datasets Toward Classification Algorithm Performance
Matrik, 2023 Class imbalance is a condition where the amount of data in the minority class is smaller than that of the majority class. The impact of the class imbalance in the dataset is the occurrence of minority class misclassification, so it can affect ...
Cherfly Kaope, Y. Pristyanto
semanticscholar +1 more source
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks [PDF]
Applied Sciences, 2022 Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models from achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples belonging to one class outnumbers that of the other by a wide margin ...
Javad Hassannataj Joloudari +2 more
semanticscholar +1 more source
An AUC-based Permutation Variable Importance Measure for Random Forests [PDF]
, 2012 The random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs).
Silke Janitza +5 more
core +1 more source
sagunshre/unknot: Class imbalance experiment
, 2022 Class imbalance ...
Martin Zurowietz
core +1 more source
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
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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
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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
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A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2022 Many natural language processing (NLP) tasks are naturally imbalanced, as some target categories occur much more frequently than others in the real world. In such scenarios, current NLP models tend to perform poorly on less frequent classes.
Sophie Henning +3 more
semanticscholar +1 more source