Results 21 to 30 of about 527,011 (237)
Effects of spin imbalance on the electric-field driven quantum dissipationless spin current in $p$-doped Semiconductors [PDF]
, 2004 It was proposed recently by Murakami et al. [Science \textbf{301}, 1348(2003)] that in a large class of $p$-doped semiconductors, an applied electric field can drive a quantum dissipationless spin current in the direction perpendicular to the electric ...
G. Sundaram +3 more
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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
Coupling different methods for overcoming the class imbalance problem [PDF]
, 2015 Many classification problems must deal with imbalanced datasets where one class \u2013 the majority class \u2013 outnumbers the other classes. Standard classification methods do not provide accurate predictions in this setting since classification is ...
Fantozzi, Carlo +2 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
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
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Comparison of Balancing Techniques for Multimedia IR over Imbalanced Datasets [PDF]
, 2009 A promising method to improve the performance of information retrieval systems is to approach retrieval tasks as a supervised classification problem. Previous user interactions, e.g.
Bermejo, P. +4 more
core +1 more source
Journal of Algorithms & Computational Technology, 2023 One common issue with datasets used for supervised classification tasks is data imbalance or the unequal distribution of classes within a dataset. The class imbalance may cause biased machine learning models to favor the dominant class, misclassifying ...
Máximo E Sánchez-Gutiérrez +1 more
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A systematic study of the class imbalance problem in convolutional neural networks
, 2018 In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue.
Buda, Mateusz +2 more
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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
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Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
IEEE Access, 2019 Data are being generated and used to support all aspects of healthcare provision, from policy formation to the delivery of primary care services. Particularly, with the change of emphasis from curative to preventive medicine, the importance of data-based
Solomon H. Ebenuwa +3 more
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