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Everything about Undersampling
Signal processing sample technique
In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its Nyquist rate, but is still able to reconstruct the signal. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: UndersamplingA 5-minute orientation
- Skim a recent paper: Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health dataInfluential work since 2022
- Pick up a classic book: Signals and SystemsThe most-reprinted book on the subject
- Read the landmark paper: Exploratory Undersampling for Class-Imbalance LearningCited 1,641 times
- Go sideways: Zero-order holdA closely related topic
- Go sideways: Nyquist–Shannon sampling theoremA closely related topic
đź“– Definitions
Noun sampling at a lower rate than normal
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Exploratory Undersampling for Class-Imbalance Learning
Clustering-based undersampling in class-imbalanced data
A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
Vicarious Learning, Undersampling of Failure, and the Myths of Management
A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
🆕 Influential since 2022
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
Undersampling method based on minority class density for imbalanced data
Class-overlap undersampling based on Schur decomposition for Class-imbalance problems
Hybrid Undersampling and Oversampling for Handling Imbalanced Credit Card Data
Imbalanced credit card fraud detection data: A solution based on hybrid neural network and clustering-based undersampling technique
đź“š Books worth reading
Signals and SystemsAlan V. Oppenheim, Alan S. Willsky · 1983
Medicaid quality controlUnited States. Medicaid Bureau. Division of Quality Control · 1978- 📕Single-Frequency Measurements Using Undersampling Methods · 1998
Single-frequency measurements using undersampling methodsEng S. Chia · 1998- 📕Use of the Symmetrical Number System in Resolving Undersampling Aliases · 1996
- 📕Hydrophilic interaction chromatographyBernard A. Olsen, Brian W. Pack · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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- First-order hold First-order hold (FOH) is a mathematical model of the practical reconstruction of sampled signals that could be done by a conventional digital-to-analog…
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