Results 1 to 10 of about 13,178 (146)
SNR Degradation in Undersampled Phase Measurement Systems [PDF]
Sensors, 2016 A wide range of measuring applications rely on phase estimation on sinusoidal signals. These systems, where the estimation is mainly implemented in the digital domain, can generally benefit from the use of undersampling to reduce the digitizer and ...
David Salido-Monzú +3 more
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Undersampling bankruptcy prediction: Taiwan bankruptcy data.
PLoS ONE, 2021 Machine learning models have increasingly been used in bankruptcy prediction. However, the observed historical data of bankrupt companies are often affected by data imbalance, which causes incorrect prediction, resulting in substantial economic losses ...
Haoming Wang, Xiangdong Liu
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Neural Network-Based Undersampling Techniques [PDF]
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022 8 pages in IEEE ...
Md Adnan Arefeen +2 more
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Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks
Future Internet, 2023 This study, focusing on identifying rare attacks in imbalanced network intrusion datasets, explored the effect of using different ratios of oversampled to undersampled data for binary classification. Two designs were compared: random undersampling before
Sikha Bagui +4 more
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The European Zoological Journal, 2023 The Bray–Curtis dissimilarity is widely used to calculate β diversity on abundance data. However, the effect of undersampling on this index has received limited attention and only few studies addressed this topic. The paper aimed to investigate the error
S. Hardersen, G. La Porta
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Improving Software Defect Prediction in Noisy Imbalanced Datasets
Applied Sciences, 2023 Software defect prediction is a popular method for optimizing software testing and improving software quality and reliability. However, software defect datasets usually have quality problems, such as class imbalance and data noise.
Haoxiang Shi +3 more
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ComTech, 2020 The research conducted undersampling and gene selection as a starting point for cancer classification in gene expression datasets with a high-dimensional and imbalanced class.
Masithoh Yessi Rochayani +2 more
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Undersampled Phase Retrieval With Outliers [PDF]
IEEE Transactions on Computational Imaging, 2015 11 pages, 9 ...
Weller, Daniel S. +5 more
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Undersampled digital holography
Optics Express, 2009 Acceptable signal recovery of the band-pass signals typically used in the off-axis digital holography systems is possible in the undersampling conditions. A typical system is considered in which the angle between two beams represents a variable parameter.
Demoli, Nazif +4 more
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Presumably Correct Undersampling
, 2023 This paper presents a data pre-processing algorithm to tackle class imbalance in classification problems by undersampling the majority class. It relies on a formalism termed Presumably Correct Decision Sets aimed at isolating easy (presumably correct) and difficult (presumably incorrect) instances in a classification problem.
Nápoles, Gonzalo, Grau, Isel
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