Methods › Computer Vision › Downsampling › SMOTE › Papers, page 2
Synthetic Minority Over-sampling Technique.
SMOTE
Papers archive 2025-07-28
archive papers tagged: 156 · with a code link: 34 · where Syntology ran a sample: 0 (0 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran: none of the 156 tagged papers has a Syntology run on record
Page 2 of 2: papers 101 to 156 of 156, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation 5 Dec 2021 · 0 repositories · arXiv:2112.02478
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Machine Learning-Based Classification Algorithms for the Prediction of Coronary Heart Diseases 2 Dec 2021 · 0 repositories · arXiv:2112.01503
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Imbalanced data preprocessing techniques utilizing local data characteristics 28 Nov 2021 · 0 repositories · arXiv:2111.14120
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Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors 14 Nov 2021 · 1 repository
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Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation 5 Nov 2021 · 1 repository · arXiv:2111.03516
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Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation 29 Oct 2021 · 1 repository · arXiv:2110.15700
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An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering 18 Sep 2021 · 0 repositories · arXiv:2109.08795
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Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models 30 Aug 2021 · 1 repository · arXiv:2108.13503
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DTWSSE: Data Augmentation with a Siamese Encoder for Time Series 23 Aug 2021 · 0 repositories · arXiv:2108.09885
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SMOTified-GAN for class imbalanced pattern classification problems 6 Aug 2021 · 1 repository · arXiv:2108.03235
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A multi-schematic classifier-independent oversampling approach for imbalanced datasets 15 Jul 2021 · 2 repositories · arXiv:2107.07349
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Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine 19 May 2021 · 0 repositories · arXiv:2105.09406
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GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers 9 May 2021 · 0 repositories · arXiv:2105.03855
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A practical system based on CNN-BLSTM network for accurate classification of ECG heartbeats of MIT-BIH imbalanced dataset 7 May 2021 · 1 repository
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A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios 24 Mar 2021 · 1 repository · arXiv:2103.13823
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Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Sampling 9 Feb 2021 · 0 repositories · arXiv:2102.04721
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A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS) 11 Oct 2020 · 0 repositories · arXiv:2010.05155
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Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification 29 Sep 2020 · 0 repositories · arXiv:2009.14096
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Gamma distribution-based sampling for imbalanced data 22 Sep 2020 · 0 repositories · arXiv:2009.10343
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Social network analytics for supervised fraud detection in insurance 15 Sep 2020 · 1 repository · arXiv:2009.08313
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Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning 20 Aug 2020 · 1 repository · arXiv:2008.09202
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A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification 11 Aug 2020 · 0 repositories · arXiv:2008.04636
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Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing 10 Aug 2020 · 0 repositories · arXiv:2008.04448
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Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics 6 Jul 2020 · 0 repositories · arXiv:2007.03100
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Minority Class Oversampling for Tabular Data with Deep Generative Models 7 May 2020 · 0 repositories · arXiv:2005.03773
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Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise 7 Apr 2020 · 0 repositories · arXiv:2004.03406
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CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification 7 Apr 2020 · 0 repositories · arXiv:2004.03409
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Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification 7 Apr 2020 · 0 repositories · arXiv:2004.03332
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Deep Synthetic Minority Over-Sampling Technique 22 Mar 2020 · 0 repositories · arXiv:2003.09788
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Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest 10 Mar 2020 · 0 repositories · arXiv:2003.04745
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Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors 29 Feb 2020 · 0 repositories · arXiv:2003.01580
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WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning 17 Oct 2019 · 0 repositories · arXiv:1910.07892
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Spam filtering on forums: A synthetic oversampling based approach for imbalanced data classification 10 Sep 2019 · 0 repositories · arXiv:1909.04826
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Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data 3 Sep 2019 · 0 repositories · arXiv:1909.01486
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LoRAS: An oversampling approach for imbalanced datasets 22 Aug 2019 · 1 repository · arXiv:1908.08346
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Radial-Based Undersampling for Imbalanced Data Classification 2 Jun 2019 · 1 repository · arXiv:1906.00452
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SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data 1 Jun 2019 · 0 repositories
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Data Augmentation Using GANs 19 Apr 2019 · 1 repository · arXiv:1904.09135
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Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms 13 Mar 2019 · 0 repositories · arXiv:1903.05535
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Offensive Language Analysis using Deep Learning Architecture 12 Mar 2019 · 1 repository · arXiv:1903.05280
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Heartbeat Anomaly Detection using Adversarial Oversampling 28 Jan 2019 · 1 repository · arXiv:1901.09972
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Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification 8 Jan 2019 · 1 repository · arXiv:1901.02514
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Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection 11 Dec 2018 · 0 repositories · arXiv:1812.04697
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LICIC: Less Important Components for Imbalanced Multiclass Classification 9 Dec 2018 · 1 repository
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Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives 13 Nov 2018 · 1 repository · arXiv:1811.05372
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Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue 19 Oct 2018 · 0 repositories · arXiv:1810.08359
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An empirical evaluation of imbalanced data strategies from a practitioner's point of view 16 Oct 2018 · 0 repositories · arXiv:1810.07168
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NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets 1 Jun 2018 · 0 repositories
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Predicting Electricity Outages Caused by Convective Storms 21 May 2018 · 0 repositories · arXiv:1805.07897
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Modified SMOTE Using Mutual Information and Different Sorts of Entropies 29 Mar 2018 · 0 repositories · arXiv:1803.11002
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Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance 28 Sep 2017 · 0 repositories · arXiv:1709.10056
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Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE 21 Sep 2017 · 0 repositories · arXiv:1709.07377
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CGMOS: Certainty Guided Minority OverSampling 21 Jul 2016 · 1 repository · arXiv:1607.06525
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Improved Sampling Techniques for Learning an Imbalanced Data Set 18 Jan 2016 · 0 repositories · arXiv:1601.04756
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Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset 8 Mar 2014 · 0 repositories · arXiv:1403.1949
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SMOTE: Synthetic Minority Over-sampling Technique 9 Jun 2011 · 25 repositories · arXiv:1106.1813