Results 11 to 20 of about 505,761 (263)
Foundations of data imbalance and solutions for a data democracy [PDF]
, 2020 Published in Data Democracy: 1st Edition At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering. (Chapter 5)
Ajay Kulkarni +2 more
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SIMBA: A robust and generalizable measure of data imbalance. [PDF]
Patterns (N Y)Ranging from health to cybersecurity, real-world data are heavily imbalanced. Handling imbalance is among the formidable challenges of machine learning (ML), as it deteriorates ML's performance, yielding biased results toward majority classes. However, finding an adequate measure to assess the impact of data imbalance is a field of research by itself ...
Pivin-Bachler JR, van den Broek EL.
europepmc +4 more sources
Data Imbalance Immunity Bone Age Assessment System Using Independent Autoencoders
Applied Sciences, 2022 Bone age assessment (BAA) is an important indicator of child maturity. Generally, a person is evaluated for bone age mostly during puberty stage; compared to toddlers and post-puberty stages, the data of bone age at puberty stage are much easier to ...
Ching-Tung Peng +2 more
doaj +1 more source
Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm
Connection Science, 2023 Aiming at the problem of low detection accuracy of network traffic data types by traditional intrusion detection methods, we propose an improved Harris Hawk hybrid intrusion detection method to enhance the detection capability.
Pengzhen Zhou, Huifu Zhang, Wei Liang
doaj +1 more source
Dealing with Data Imbalance in Text Classification
Procedia Computer Science, 2019 Abstract Many real world datasets don’t offer enough training input for regular classifiers: some classes are more represented than others. Imbalanced data raises problems in Machine Learning classification and predicting an outcome becomes difficult when there is not enough data to learn from. The object of classification in our study is data coming
Cristian Padurariu +1 more
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A Survey of Methods for Handling Disk Data Imbalance
International Journal on Cybernetics & Informatics, 2023 Class imbalance exists in many classification problems, and since the data is designed for accuracy, imbalance in data classes can lead to classification challenges with a few classes having higher misclassification costs. The Backblaze dataset, a widely used dataset related to hard discs, has a small amount of failure data and a large amount of health
Shuangshuang Yuan +3 more
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Data Imbalance in Surveillance of Nosocomial Infections [PDF]
, 2003 An important problem that arises in hospitals is the monitoring and detection of nosocomial or hospital acquired infections (NIs). This paper describes a retrospective analysis of a prevalence survey of NIs done in the Geneva University Hospital. Our goal is to identify patients with one or more NIs on the basis of clinical and other data collected ...
Gilles Cohen +3 more
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SeismoFlow -- Data augmentation for the class imbalance problem
CoRR, 2020 10 ...
Ruy Luiz Milidiú, Luis Felipe Müller
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Data Augmentation Imbalance For Imbalanced Attribute Classification
CoRR, 2020 This paper needs further ...
Xiaying Bai +4 more
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Energies, 2022 The imbalance of data samples and fluctuating operating conditions are the two main challenges faced by vibration data-driven fault diagnosis for the iron core looseness of saturable reactors in UHVDC thyristor valves.
Xiaolong Zhang +4 more
doaj +1 more source