Paper Citation Record · LEDGER

Local distribution-based adaptive oversampling for imbalanced regression

As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2504.14316.

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pith.paper-citation-record.v1
2504.14316 v1

Coverage vector

measured 52 of 52 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: pith, observed 2026-08-06T05:39:18.223511Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation a1330766-b968-41a5-bfcd-87f4aaa74f81 · outbound

This paper cites Learning from imbalanced data,.

Local distribution-based adaptive oversampling for imbalanced regression Learning from imbalanced data,

Reference 1

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Observation 7f9b3071-5543-4d8f-95ea-45a4f2112d8f · outbound

This paper cites Learning from class- imbalanced data: Review of methods and applications,.

Local distribution-based adaptive oversampling for imbalanced regression Learning from class- imbalanced data: Review of methods and applications,

Reference 2

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Observation 5daab6cd-e3ce-4842-8422-d029e3551937 · outbound

This paper cites SMOTE: Synthetic minority over-sampling technique,.

Local distribution-based adaptive oversampling for imbalanced regression SMOTE: Synthetic minority over-sampling technique,

Reference 3

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This paper cites A systematic study of the class imbalance problem in convolutional neural networks,.

Local distribution-based adaptive oversampling for imbalanced regression A systematic study of the class imbalance problem in convolutional neural networks,

Reference 4

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Observation d575e133-48ea-4f63-a2d8-ad1c8404d4cc · outbound

This paper cites Survey on deep learning with class imbalance,.

Local distribution-based adaptive oversampling for imbalanced regression Survey on deep learning with class imbalance,

Reference 5

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Observation 1ea135bc-bcfe-4f6f-bbd2-b7a521de0cbb · outbound

This paper cites Exploratory undersampling for class-imbalance learning,.

Local distribution-based adaptive oversampling for imbalanced regression Exploratory undersampling for class-imbalance learning,

Reference 6

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Observation 1f114979-83d2-4cbf-b4cc-c55e9bc6069d · outbound

This paper cites Learning from imbalanced data: open challenges and future direc- tions,.

Local distribution-based adaptive oversampling for imbalanced regression Learning from imbalanced data: open challenges and future direc- tions,

Reference 7

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Observation 23c83e5e-3e25-47f6-9971-c44e420c74cb · outbound

This paper cites A survey of predictive modeling under imbalanced distributions,.

Local distribution-based adaptive oversampling for imbalanced regression A survey of predictive modeling under imbalanced distributions,

Reference 8

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Observation 616fda91-c773-4e3a-a727-8aa65e5cda02 · outbound

This paper cites SMOTE for regression,.

Local distribution-based adaptive oversampling for imbalanced regression SMOTE for regression,

Reference 9

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Observation b6cf894c-7ddb-404c-8cc1-9a91b8ce95b8 · outbound

This paper cites Editorial: Special issue on learning from imbalanced data sets,.

Local distribution-based adaptive oversampling for imbalanced regression Editorial: Special issue on learning from imbalanced data sets,

Reference 10

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Observation d1722263-1e09-4322-86b8-27643afefb9c · outbound

This paper cites Comparative analysis of machine learning techniques for imbalanced genetic data,.

Local distribution-based adaptive oversampling for imbalanced regression Comparative analysis of machine learning techniques for imbalanced genetic data,

Reference 11

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Observation 9a86dfae-1429-48ec-9cf9-8c3c062423ab · outbound

This paper cites Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range,.

Local distribution-based adaptive oversampling for imbalanced regression Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range,

Reference 12

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This paper cites Predicting in- hospital length of stay: a two-stage modeling approach to account for highly skewed data,.

Local distribution-based adaptive oversampling for imbalanced regression Predicting in- hospital length of stay: a two-stage modeling approach to account for highly skewed data,

Reference 13

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This paper cites SMOGN: A pre-processing approach for imbalanced regression,.

Local distribution-based adaptive oversampling for imbalanced regression SMOGN: A pre-processing approach for imbalanced regression,

Reference 14

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Observation 55371175-c9b0-4d5a-ac18-6c0c9e58a498 · outbound

This paper cites Density-based weighting for imbalanced regression,.

Local distribution-based adaptive oversampling for imbalanced regression Density-based weighting for imbalanced regression,

Reference 15

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Observation 871670b9-8383-4841-8094-798835cdf524 · outbound

This paper cites ADASYN: Adaptive synthetic sampling approach for imbalanced learning,.

Local distribution-based adaptive oversampling for imbalanced regression ADASYN: Adaptive synthetic sampling approach for imbalanced learning,

Reference 16

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This paper cites Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning,.

Local distribution-based adaptive oversampling for imbalanced regression Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning,

Reference 17

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Observation 038990f0-da6a-446c-a9d8-4b6934edeffe · outbound

This paper cites DBSMOTE: Density- based synthetic minority over-sampling technique,.

Local distribution-based adaptive oversampling for imbalanced regression DBSMOTE: Density- based synthetic minority over-sampling technique,

Reference 18

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This paper cites He and Y.

Local distribution-based adaptive oversampling for imbalanced regression He and Y

Reference 19

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This paper cites Utility-based regression,.

Local distribution-based adaptive oversampling for imbalanced regression Utility-based regression,

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Local distribution-based adaptive oversampling for imbalanced regression Unresolved cited work

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Local distribution-based adaptive oversampling for imbalanced regression Resampling strategies for regression,

Reference 22

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Local distribution-based adaptive oversampling for imbalanced regression Pre-processing approaches for imbalanced distributions in regression,

Reference 23

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Local distribution-based adaptive oversampling for imbalanced regression Geometric SMOTE for regression,

Reference 24

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This paper cites Data Augmentation for Imbal- anced Regression,.

Local distribution-based adaptive oversampling for imbalanced regression Data Augmentation for Imbal- anced Regression,

Reference 25

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This paper cites WSMOTER: A Novel Approach for Imbalanced Re- gression,.

Local distribution-based adaptive oversampling for imbalanced regression WSMOTER: A Novel Approach for Imbalanced Re- gression,

Reference 26

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This paper cites Generalized Oversampling for Learning from Imbalanced Datasets and Associated Theory: Application in Regression,.

Local distribution-based adaptive oversampling for imbalanced regression Generalized Oversampling for Learning from Imbalanced Datasets and Associated Theory: Application in Regression,

Reference 27

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This paper cites A Selective Under-Sampling (SUS) Method for Imbalanced Regression,.

Local distribution-based adaptive oversampling for imbalanced regression A Selective Under-Sampling (SUS) Method for Imbalanced Regression,

Reference 28

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This paper cites On multi-class cost-sensitive learning,.

Local distribution-based adaptive oversampling for imbalanced regression On multi-class cost-sensitive learning,

Reference 29

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Local distribution-based adaptive oversampling for imbalanced regression The foundations of cost-sensitive learning,

Reference 30

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Local distribution-based adaptive oversampling for imbalanced regression MetaCost: A general method for making classifiers cost-sensitive,

Reference 31

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This paper cites Delving into deep imbalanced regression,.

Local distribution-based adaptive oversampling for imbalanced regression Delving into deep imbalanced regression,

Reference 32

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Local distribution-based adaptive oversampling for imbalanced regression Balanced MSE for imbalanced visual regres- sion,

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This paper cites Imbalanced datasets: From sampling to classifiers,.

Local distribution-based adaptive oversampling for imbalanced regression Imbalanced datasets: From sampling to classifiers,

Reference 34

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Local distribution-based adaptive oversampling for imbalanced regression SMOTEBoost for regression: Improving the prediction of extreme values,

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Local distribution-based adaptive oversampling for imbalanced regression Imbalanced regression and extreme value prediction,

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Local distribution-based adaptive oversampling for imbalanced regression Local Distribution-based Adaptive Minor- ity Oversampling for Imbalanced Data Classification,

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Observation cebca97d-f848-4ac1-a2be-3eca67df2818 · outbound

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Local distribution-based adaptive oversampling for imbalanced regression Hedonic Prices and the Demand for Clean Air,

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This paper cites Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach,.

Local distribution-based adaptive oversampling for imbalanced regression Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach,

Reference 39

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This paper cites K-means clus- tering algorithms: a comprehensive review, variants analysis, and advances in the era of big data,.

Local distribution-based adaptive oversampling for imbalanced regression K-means clus- tering algorithms: a comprehensive review, variants analysis, and advances in the era of big data,

Reference 40

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Local distribution-based adaptive oversampling for imbalanced regression Integration k-means clus- tering method and elbow method for identification of the best customer pro- file cluster,

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Local distribution-based adaptive oversampling for imbalanced regression Improved the performance of the k-means cluster using the sum of squared error (sse) optimized by using the elbow method,

Reference 42

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Local distribution-based adaptive oversampling for imbalanced regression Density Estimation for Statistics and Data Analysis,

Reference 43

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Local distribution-based adaptive oversampling for imbalanced regression Multivariate Density Estimation: Theory, Practice, and Visual- ization,

Reference 44

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Observation 592a7855-141a-4e64-86cc-9bacf2f45dc0 · outbound

This paper cites A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation,.

Local distribution-based adaptive oversampling for imbalanced regression A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation,

Reference 45

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This paper cites A Bayesian approach to bandwidth selection for multivariate kernel density estimation,.

Local distribution-based adaptive oversampling for imbalanced regression A Bayesian approach to bandwidth selection for multivariate kernel density estimation,

Reference 46

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This paper cites KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework,.

Local distribution-based adaptive oversampling for imbalanced regression KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework,

Reference 47

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Observation 7e50209b-7f50-4d40-a1ee-08a37eced22e · outbound

This paper cites Resampling strategies for imbalanced regression: a survey and empirical analysis,.

Local distribution-based adaptive oversampling for imbalanced regression Resampling strategies for imbalanced regression: a survey and empirical analysis,

Reference 48

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Observation aab2ea55-c26b-45c1-bcf7-0961a7f5a764 · outbound

This paper cites ImbalancedLearningRegression-A Python Pack- age to Tackle the Imbalanced Regression Problem,.

Local distribution-based adaptive oversampling for imbalanced regression ImbalancedLearningRegression-A Python Pack- age to Tackle the Imbalanced Regression Problem,

Reference 49

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Observation ef1da9c6-1855-43e9-98f4-2e7b824132f8 · outbound

This paper cites SMOGN: Synthetic Minority Over-Sampling Technique for Regression with Gaussian Noise,.

Local distribution-based adaptive oversampling for imbalanced regression SMOGN: Synthetic Minority Over-Sampling Technique for Regression with Gaussian Noise,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:32.988951Z

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Observation 54873647-2558-4cd8-821d-06ff8b270baf · outbound

This paper cites Optuna: A Next-Generation Hyperparameter Optimization Framework,.

Local distribution-based adaptive oversampling for imbalanced regression Optuna: A Next-Generation Hyperparameter Optimization Framework,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:32.977059Z

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Observation 5c8734d0-9809-4544-9df2-c8ffb9b0fa8a · outbound

This paper cites Individual comparisons by ranking methods,.

Local distribution-based adaptive oversampling for imbalanced regression Individual comparisons by ranking methods,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:32.964656Z

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Pith citing papers

Observation fcc43b7d-9902-4ff7-bf1c-8d1804d913b2 · inbound

Regression Augmentation With Data-Driven Segmentation cites this paper.

Regression Augmentation With Data-Driven Segmentation Local distribution-based adaptive oversampling for imbalanced regression

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:39:18.300103Z

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