Methods › Computer Vision › Downsampling › SMOTE
Synthetic Minority Over-sampling Technique.
SMOTE
Introduced by N. V. Chawla et al. in SMOTE: Synthetic Minority Over-sampling Technique
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Perhaps the most widely used approach to synthesizing new examples is called the Synthetic Minority Oversampling Technique, or SMOTE for short. This technique was described by Nitesh Chawla, et al. in their 2002 paper named for the technique titled “SMOTE: Synthetic Minority Over-sampling Technique.”
SMOTE works by selecting examples that are close in the feature space, drawing a line between the examples in the feature space and drawing a new sample at a point along that line.
Papers archive 2025-07-28
30 shown of 156, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction 18 Jun 2025 · 0 repositories · arXiv:2506.17326
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A Comprehensive Analysis of COVID-19 Detection Using Bangladeshi Data and Explainable AI 8 Jun 2025 · 0 repositories · arXiv:2506.07234
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Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data 19 May 2025 · 0 repositories · arXiv:2505.13116
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Data Balancing Strategies: A Survey of Resampling and Augmentation Methods 17 May 2025 · 0 repositories · arXiv:2505.13518
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Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights 8 May 2025 · 0 repositories · arXiv:2505.05683
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VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification 30 Apr 2025 · 0 repositories · arXiv:2504.21464
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iHHO-SMOTe: A Cleansed Approach for Handling Outliers and Reducing Noise to Improve Imbalanced Data Classification 17 Apr 2025 · 0 repositories · arXiv:2504.12850
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Kernel-Based Enhanced Oversampling Method for Imbalanced Classification 12 Apr 2025 · 0 repositories · arXiv:2504.09147
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Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention 11 Apr 2025 · 0 repositories · arXiv:2504.08183
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Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals 9 Apr 2025 · 1 repository · arXiv:2504.06987
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Machine Learning for Identifying Potential Participants in Uruguayan Social Programs 31 Mar 2025 · 0 repositories · arXiv:2504.01045
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Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring 26 Mar 2025 · 0 repositories · arXiv:2503.22730
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Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques 13 Mar 2025 · 0 repositories · arXiv:2503.09960
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ICPR 2024 Competition on Rider Intention Prediction 11 Mar 2025 · 0 repositories · arXiv:2503.08437
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Towards species' classification of the \textit{Anastrepha pseudoparallela} group 11 Mar 2025 · 0 repositories · arXiv:2503.08598
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis 10 Mar 2025 · 0 repositories · arXiv:2503.14512
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Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records 8 Mar 2025 · 0 repositories · arXiv:2503.06096
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Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem 5 Mar 2025 · 0 repositories · arXiv:2503.03418
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LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship Preservation 4 Mar 2025 · 1 repository · arXiv:2503.02161
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Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification 26 Feb 2025 · 0 repositories · arXiv:2502.19258
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ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact 21 Feb 2025 · 0 repositories · arXiv:2502.15898
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Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing 5 Feb 2025 · 0 repositories · arXiv:2502.03086
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Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models 3 Feb 2025 · 1 repository · arXiv:2502.01825
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Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling 31 Jan 2025 · 0 repositories · arXiv:2501.19001
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A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction 20 Jan 2025 · 1 repository · arXiv:2501.11293
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An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks 20 Jan 2025 · 0 repositories · arXiv:2501.11222
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Robust Hybrid Classical-Quantum Transfer Learning Model for Text Classification Using GPT-Neo 125M with LoRA & SMOTE Enhancement 12 Jan 2025 · 1 repository · arXiv:2501.10435
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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation 2 Jan 2025 · 0 repositories · arXiv:2501.01117
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S&P 500 Trend Prediction 16 Dec 2024 · 0 repositories · arXiv:2412.11462
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Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning 7 Dec 2024 · 0 repositories · arXiv:2412.05666
Tasks archive 2025-07-28
20 shown of 115 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| General Classification | 23 |
| Classification | 22 |
| Data Augmentation | 15 |
| Fraud Detection | 14 |
| feature selection | 14 |
| imbalanced classification | 12 |
| Intrusion Detection | 7 |
| Diagnostic | 6 |
| Synthetic Data Generation | 6 |
| Anomaly Detection | 5 |
| Feature Importance | 5 |
| Transfer Learning | 5 |
| Binary Classification | 4 |
| Deep Learning | 4 |
| Generative Adversarial Network | 4 |
| Imputation | 4 |
| Network Intrusion Detection | 4 |
| Text Classification | 4 |
| Time Series | 4 |
| Time Series Analysis | 4 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections