Paper Citation Record · LEDGER

Approximate Borderline Sampling using Granular-Ball for Classification Tasks

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.02366.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.02366 v1

Coverage vector

measured 47 of 47 reference resolution

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measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation ea7eda7b-a542-4a07-a217-fff68a0e5d50 · outbound

This paper cites Adversarial robustness of streaming algorithms through impor- tance sampling,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Adversarial robustness of streaming algorithms through impor- tance sampling,

Reference 1

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Observation e1eb5be9-762b-4709-a26c-dbe4987758e5 · outbound

This paper cites Distilling effective supervision from severe label noise,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Distilling effective supervision from severe label noise,

Reference 2

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Observation 8a77755b-72d4-42b0-a094-1d2da15a2d6e · outbound

This paper cites A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification

Reference 3

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Observation d07cf0c9-9d45-4910-8d83-81b47e639072 · outbound

This paper cites Coreset sampling from open-set for fine-grained self-supervised learning,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Coreset sampling from open-set for fine-grained self-supervised learning,

Reference 4

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Observation df730c2a-b0c3-48da-9194-7c0137a2a37e · outbound

This paper cites Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling,

Reference 5

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Observation 2e35610a-48e5-47ab-8ac8-bc3084235afc · outbound

This paper cites Attention-based point cloud edge sampling,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Attention-based point cloud edge sampling,

Reference 6

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Observation bf6a37d3-8d93-4b24-8718-48335111518a · outbound

This paper cites Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Reference 7

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Observation fbcc252b-f6e2-4055-b99e-da9c7aebdc47 · outbound

This paper cites Unsupervised sampling promoting for stochastic human trajectory prediction,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Unsupervised sampling promoting for stochastic human trajectory prediction,

Reference 8

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Observation 4378cc85-ca16-4879-b7d8-e781e251d436 · outbound

This paper cites Model-based synthetic sampling for imbal- anced data,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Model-based synthetic sampling for imbal- anced data,

Reference 9

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Observation f60bc015-1350-4f4e-ad19-049f80541702 · outbound

This paper cites A robust oversampling approach for class imbalance problem with small disjuncts,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks A robust oversampling approach for class imbalance problem with small disjuncts,

Reference 10

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Observation 3ada6b1c-230a-443f-a84a-64d5f31c334d · outbound

This paper cites A review of methods for imbalanced multi-label classification,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks A review of methods for imbalanced multi-label classification,

Reference 11

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Observation ee9953fc-761d-43ac-a451-62bc8e8c76eb · outbound

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

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Borderline-smote: a new over- sampling method in imbalanced data sets learning,

Reference 12

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Observation 14d9f1c0-e71c-41f8-8062-8fe23feff423 · outbound

This paper cites Deepsmote: Fusing deep learning and smote for imbalanced data,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Deepsmote: Fusing deep learning and smote for imbalanced data,

Reference 13

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This paper cites Adasyn- random forest based intrusion detection model,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Adasyn- random forest based intrusion detection model,

Reference 14

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Observation ec1c1d77-cf84-4246-a558-117b3521f48a · outbound

This paper cites Abnormal samples oversampling for anomaly detection based on uniform scale strategy and closed area,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Abnormal samples oversampling for anomaly detection based on uniform scale strategy and closed area,

Reference 15

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Observation 70aa08ec-84c1-4fb0-b595-82a704443d37 · outbound

This paper cites Two modifications of cnn,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Two modifications of cnn,

Reference 16

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Observation 712cc73b-8794-4b07-b6c5-a061cc75e9b5 · outbound

This paper cites Random sampling with a reservoir,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Random sampling with a reservoir,

Reference 17

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Unresolved cited work

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Unresolved cited work

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This paper cites Random forests,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Random forests,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Fuzzy sets and information granularity,

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Observation ee39f389-ef40-4f07-bb40-f819f60a97d8 · outbound

This paper cites Granular ball computing classifiers for efficient, scalable and robust learning,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Granular ball computing classifiers for efficient, scalable and robust learning,

Reference 22

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Observation ea0b1d45-3623-4eb3-b86a-fa434d6c0cff · outbound

This paper cites Granular ball sampling for noisy label classification or imbalanced classification,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Granular ball sampling for noisy label classification or imbalanced classification,

Reference 23

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Observation 9ba2588f-6f4a-40d0-b362-3e3ddba15ab0 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks k-times markov sampling for svmc,

Reference 24

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Observation 66deeb00-58e6-4420-bd8d-afbea38760f6 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Reduction of training data for support vector machine: a survey,

Reference 25

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Observation 99462150-c753-4533-b70b-d56f2cfd5dd7 · outbound

This paper cites A method to improve support vector machine based on distance to hyperplane,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks A method to improve support vector machine based on distance to hyperplane,

Reference 26

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Observation f5bf6bcc-421f-442e-991d-81a3cf6f5657 · outbound

This paper cites An efficient and adaptive granular-ball generation method in classification problem,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks An efficient and adaptive granular-ball generation method in classification problem,

Reference 27

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Observation 758cffb9-1064-4ff0-ad8b-c62f03a5c3a3 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks 3wc- gbnrs++: A novel three-way classifier with granular-ball neighborhood rough sets based on uncertainty,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks A fast granular-ball-based density peaks clustering algorithm for large-scale data,

Reference 29

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Observation d3e5727e-e315-4470-8594-a84a89da1485 · outbound

This paper cites An efficient spectral clustering algorithm based on granular-ball,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks An efficient spectral clustering algorithm based on granular-ball,

Reference 30

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks W-gbc: An adaptive weighted clustering method based on granular-ball structure,

Reference 31

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Granular-ball fuzzy set and its implement in svm,

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This paper cites Incremental learning based on granular ball rough sets for classifica- tion in dynamic mixed-type decision system,.

Approximate Borderline Sampling using Granular-Ball for Classification Tasks Incremental learning based on granular ball rough sets for classifica- tion in dynamic mixed-type decision system,

Reference 33

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Observation 27a365d7-89d0-426f-9bd4-12a90159e307 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Open continual feature selection via granular-ball knowledge transfer,

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Observation a349d63a-240e-4418-8c2a-29c6a6a6aacc · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Gbnrs: A novel rough set algorithm for fast adaptive attribute reduction in classification,

Reference 35

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Grrs: Accurate and efficient neighborhood rough set for feature selection,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Graph-based Representation for Image based on Granular-ball

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Gbg++: A fast and stable granular ball generation method for clas- sification,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Smote: synthetic minority over-sampling technique,

Reference 39

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Nearest neighbor pattern classification,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Clas- sification and regression trees,

Reference 41

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Observation e1cbfc4c-16fa-462b-904a-95022bc3f5db · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Lightgbm: A highly efficient gradient boosting decision tree,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Xgboost: A scalable tree boosting system,

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Unresolved cited work

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Keel data-mining software tool: Data set repository, integration of algorithms and experi- mental analysis framework,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:35.059337Z

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Observation 5bb6a5f5-287b-4169-a4b1-95ec73783706 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks The use of machine learning methods in classification of pumpkin seeds (cucurbita pepo l.),

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:35.045779Z

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Observation 0c972fdd-29d8-45a4-86f7-89490ef2ebc4 · outbound

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Approximate Borderline Sampling using Granular-Ball for Classification Tasks Speed up kernel discriminant analysis,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:35.031977Z

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Pith citing papers

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