A Comprehensive Survey on Imbalanced Data Learning | Paper Citation Record

Observation edcade7a-949f-4c7f-b822-c4014c5f32ad · outbound

This paper cites Learning from imbalanced data,.

A Comprehensive Survey on Imbalanced Data Learning Learning from imbalanced data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.243252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7cac0d-9f09-4192-bfb3-ae8a9f6e47d6 · outbound

This paper cites Learning from imbalanced data: open challenges and future directions,.

A Comprehensive Survey on Imbalanced Data Learning Learning from imbalanced data: open challenges and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.249806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2908cdbf-17f0-40a6-bcf7-a7cae930f730 · outbound

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

A Comprehensive Survey on Imbalanced Data Learning Learning from class-imbalanced data: Review of methods and applications,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.254485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2622e35e-093c-4ac9-bbef-c749ac66f57c · outbound

This paper cites Deep long-tailed learning: A survey,.

A Comprehensive Survey on Imbalanced Data Learning Deep long-tailed learning: A survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.258897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df6a6544-33b9-46d7-90bb-8be278908376 · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

A Comprehensive Survey on Imbalanced Data Learning Smote: synthetic minority over-sampling technique,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.263324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc90121e-8658-4cad-ae8e-a4894ae7ec81 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

A Comprehensive Survey on Imbalanced Data Learning mixup: Beyond Empirical Risk Minimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.267837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85e9f87-1eaa-4523-a38c-5152d89ebf4e · outbound

This paper cites A distance-based over-sampling method for learning from imbalanced data sets.

A Comprehensive Survey on Imbalanced Data Learning A distance-based over-sampling method for learning from imbalanced data sets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.273605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb819fa-a0ec-4c73-9467-f1f48b144dfd · outbound

This paper cites On the use of surround- ing neighbors for synthetic over-sampling of the minority class,.

A Comprehensive Survey on Imbalanced Data Learning On the use of surround- ing neighbors for synthetic over-sampling of the minority class,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.278012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c8b488-b960-4133-bae9-177bb16191ef · outbound

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

A Comprehensive Survey on Imbalanced Data Learning Borderline-smote: a new over- sampling method in imbalanced data sets learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.282441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9728e36-eb4f-48e3-95e8-35c86adb68dd · outbound

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

A Comprehensive Survey on Imbalanced Data Learning Adasyn: Adaptive synthetic sampling approach for imbalanced learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.288032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5fa1f00-46a9-41de-b526-cde592932cf8 · outbound

This paper cites Msmote: Improving classifica- tion performance when training data is imbalanced,.

A Comprehensive Survey on Imbalanced Data Learning Msmote: Improving classifica- tion performance when training data is imbalanced,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.292386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3e66aa-2e3c-4d24-a367-54185736aee5 · outbound

This paper cites An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets,.

A Comprehensive Survey on Imbalanced Data Learning An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.297060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba691dc-6fc4-4027-8e1b-b0476e4df469 · outbound

This paper cites Remix: rebalanced mixup,.

A Comprehensive Survey on Imbalanced Data Learning Remix: rebalanced mixup,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.301338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d470a9fa-d81e-4d6a-9a66-0a381b248391 · outbound

This paper cites Mixboost: Synthetic oversampling using boosted mixup for handling extreme imbalance,.

A Comprehensive Survey on Imbalanced Data Learning Mixboost: Synthetic oversampling using boosted mixup for handling extreme imbalance,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.305225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cce30d7-ce06-463d-986c-c97de33a079a · outbound

This paper cites Balanced- mixup for highly imbalanced medical image classification,.

A Comprehensive Survey on Imbalanced Data Learning Balanced- mixup for highly imbalanced medical image classification,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.310256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182189c2-13e6-4189-85c3-af351f2530e5 · outbound

This paper cites Label-occurrence-balanced mixup for long-tailed recognition,.

A Comprehensive Survey on Imbalanced Data Learning Label-occurrence-balanced mixup for long-tailed recognition,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.315266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c40b9fb-3897-42c4-8fc6-2f7ed8a8b5ca · outbound

This paper cites Kernel-based smote for svm classification of imbalanced datasets,.

A Comprehensive Survey on Imbalanced Data Learning Kernel-based smote for svm classification of imbalanced datasets,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.320429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3627ad-d720-4aa1-b88c-a417fefd3330 · outbound

This paper cites Kerneladasyn: Kernel based adaptive synthetic data generation for imbalanced learning,.

A Comprehensive Survey on Imbalanced Data Learning Kerneladasyn: Kernel based adaptive synthetic data generation for imbalanced learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.325609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ab8a43a-bed0-4e9c-a045-a8d381637bd4 · outbound

This paper cites Variational autoencoder based synthetic data generation for imbalanced learning,.

A Comprehensive Survey on Imbalanced Data Learning Variational autoencoder based synthetic data generation for imbalanced learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.330372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b1db76-1a42-4074-8291-03eeb5d54be3 · outbound

This paper cites Generative adversarial net- works,.

A Comprehensive Survey on Imbalanced Data Learning Generative adversarial net- works,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.335440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d24ba69-7274-4717-a067-005f85b9a085 · outbound

This paper cites Effective data generation for imbalanced learning using conditional generative adversarial networks,.

A Comprehensive Survey on Imbalanced Data Learning Effective data generation for imbalanced learning using conditional generative adversarial networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.340582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915f0ef3-637e-4659-8f1b-4afad4cc7ec9 · outbound

This paper cites Conditional Generative Adversarial Nets.

A Comprehensive Survey on Imbalanced Data Learning Conditional Generative Adversarial Nets

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.345604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf74f24d-4b52-480c-8167-c8fc9951bb90 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

A Comprehensive Survey on Imbalanced Data Learning BAGAN: Data Augmentation with Balancing GAN

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.351238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff378cb-0c1f-416a-a3e0-f66b9bbdbde5 · outbound

This paper cites Supervised class distribution learning for gans-based imbalanced classification,.

A Comprehensive Survey on Imbalanced Data Learning Supervised class distribution learning for gans-based imbalanced classification,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.356954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation addbff35-1d98-451c-b083-24da5965a1ab · outbound

This paper cites Rvgan-tl: A generative adversarial networks and transfer learning- based hybrid approach for imbalanced data classification,.

A Comprehensive Survey on Imbalanced Data Learning Rvgan-tl: A generative adversarial networks and transfer learning- based hybrid approach for imbalanced data classification,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.362196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69af5667-1383-42e3-b31e-012af0d19084 · outbound

This paper cites Wasserstein Auto-Encoders.

A Comprehensive Survey on Imbalanced Data Learning Wasserstein Auto-Encoders

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.367183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8603c25b-bf73-4566-8c38-51d4efbf1931 · outbound

This paper cites Ewgan: Entropy-based wasserstein gan for imbalanced learning,.

A Comprehensive Survey on Imbalanced Data Learning Ewgan: Entropy-based wasserstein gan for imbalanced learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.372917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5cd251e-3d3a-43f8-9e03-47631540f618 · outbound

This paper cites Wasserstein generative adversarial networks,.

A Comprehensive Survey on Imbalanced Data Learning Wasserstein generative adversarial networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.379935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78a2ba9-4117-4947-b0c8-d2f33a029952 · outbound

This paper cites Eid-gan: Generative adversarial nets for extremely imbalanced data augmentation,.

A Comprehensive Survey on Imbalanced Data Learning Eid-gan: Generative adversarial nets for extremely imbalanced data augmentation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.384866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3dacf16-fea1-44bf-8766-b85d530435a1 · outbound

This paper cites Smotified-gan for class imbal- anced pattern classification problems,.

A Comprehensive Survey on Imbalanced Data Learning Smotified-gan for class imbal- anced pattern classification problems,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.389954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6cb6d48-542d-48e3-a99b-eb8d27b40fe5 · outbound

This paper cites Generative adversarial minority oversampling,.

A Comprehensive Survey on Imbalanced Data Learning Generative adversarial minority oversampling,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.394835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b274d40b-d084-4e98-9188-cda13a47eb07 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Comprehensive Survey on Imbalanced Data Learning Denoising diffusion probabilistic models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.400038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cdaef37-6402-409b-9589-086c60ed5f16 · outbound

This paper cites Semantic image synthesis via diffusion models,.

A Comprehensive Survey on Imbalanced Data Learning Semantic image synthesis via diffusion models,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.404187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df22ed7-8fe0-4e3a-831e-c2b78e05f513 · outbound

This paper cites DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets.

A Comprehensive Survey on Imbalanced Data Learning DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:07:20.296002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbb665ec-5fbf-4202-95b3-db83105c9f52 · outbound

This paper cites Diffusion Augmentation for Sequential Recommendation.

A Comprehensive Survey on Imbalanced Data Learning Diffusion Augmentation for Sequential Recommendation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:07:20.272084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7ae72c6-4c13-4590-8744-99cd28a9f79b · outbound

This paper cites MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation.

A Comprehensive Survey on Imbalanced Data Learning MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:07:20.249419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9c3f454-b6eb-439c-b697-e35793f40045 · outbound

This paper cites PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation.

A Comprehensive Survey on Imbalanced Data Learning PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:07:20.225444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b8d8100-5c9f-42f8-85ac-c12f6b3d1363 · outbound

This paper cites Training Class-Imbalanced Diffusion Model Via Overlap Optimization.

A Comprehensive Survey on Imbalanced Data Learning Training Class-Imbalanced Diffusion Model Via Overlap Optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.428214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8767bfe5-7bc2-4320-b07e-138b2ca6971f · outbound

This paper cites Latent-based diffusion model for long-tailed recognition,.

A Comprehensive Survey on Imbalanced Data Learning Latent-based diffusion model for long-tailed recognition,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.432698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bec0c97-3e49-4aba-ac7f-96b141305873 · outbound

This paper cites Rethinking noise sampling in class-imbalanced diffusion models,.

A Comprehensive Survey on Imbalanced Data Learning Rethinking noise sampling in class-imbalanced diffusion models,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.437712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d461d4-c13a-4633-b716-5b092096e52c · outbound

This paper cites Addressing the curse of imbalanced training sets: one-sided selection,.

A Comprehensive Survey on Imbalanced Data Learning Addressing the curse of imbalanced training sets: one-sided selection,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.441831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef676094-67b8-473e-95ac-4616d40350e3 · outbound

This paper cites The condensed nearest neighbor rule (corresp.),.

A Comprehensive Survey on Imbalanced Data Learning The condensed nearest neighbor rule (corresp.),

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.447150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a62452-ae2c-45e4-b6b1-fb415f8b9826 · outbound

This paper cites An experiment with the edited nearest-neighbor rule,.

A Comprehensive Survey on Imbalanced Data Learning An experiment with the edited nearest-neighbor rule,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.452221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90a7597-2a4c-4069-bf12-b654f196bdd7 · outbound

This paper cites Improving identification of difficult small classes by balancing class distribution,.

A Comprehensive Survey on Imbalanced Data Learning Improving identification of difficult small classes by balancing class distribution,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.456506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f4b9d2c-c7da-4250-9e7c-87c8b09cb22b · outbound

This paper cites Knn model-based approach in classification,.

A Comprehensive Survey on Imbalanced Data Learning Knn model-based approach in classification,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.460465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4cec38-c244-44bb-a9dc-15af4cf3c4b0 · outbound

This paper cites knn approach to unbalanced data distributions: a case study involving information extraction,.

A Comprehensive Survey on Imbalanced Data Learning knn approach to unbalanced data distributions: a case study involving information extraction,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.467067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89cb1982-7460-41f8-b0a6-a923cccd8ff4 · outbound

This paper cites Neighbourhood-based under- sampling approach for handling imbalanced and overlapped data,.

A Comprehensive Survey on Imbalanced Data Learning Neighbourhood-based under- sampling approach for handling imbalanced and overlapped data,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.471802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4636fe60-7c1d-4f35-8860-f35f094ed9f3 · outbound

This paper cites Cluster-based under-sampling approaches for imbalanced data distributions,.

A Comprehensive Survey on Imbalanced Data Learning Cluster-based under-sampling approaches for imbalanced data distributions,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.477062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a50e9bb-d0be-457b-ad56-bb2055aff7df · outbound

This paper cites Cluster-based majority under-sampling approaches for class imbalance learning,.

A Comprehensive Survey on Imbalanced Data Learning Cluster-based majority under-sampling approaches for class imbalance learning,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.482066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b9e360-5ac9-40d5-868e-b1facf91ce24 · outbound

This paper cites Clustering-based undersampling in class-imbalanced data,.

A Comprehensive Survey on Imbalanced Data Learning Clustering-based undersampling in class-imbalanced data,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.487562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb53ee5c-016f-4793-9052-cab8bd9a24ae · outbound

This paper cites Diversified sensitivity-based undersampling for imbalance classification problems,.

A Comprehensive Survey on Imbalanced Data Learning Diversified sensitivity-based undersampling for imbalance classification problems,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.493426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e0e6228-ef5a-4411-9f47-53d0cb998179 · outbound

This paper cites Fast-cbus: A fast clustering-based undersampling method for addressing the class im- balance problem,.

A Comprehensive Survey on Imbalanced Data Learning Fast-cbus: A fast clustering-based undersampling method for addressing the class im- balance problem,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.498496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7b1a65-657e-45cb-a9c5-f5b67479b2a0 · outbound

This paper cites Evolutionary undersampling for classifica- tion with imbalanced datasets: Proposals and taxonomy,.

A Comprehensive Survey on Imbalanced Data Learning Evolutionary undersampling for classifica- tion with imbalanced datasets: Proposals and taxonomy,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.503241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc074de2-6c75-4867-91a2-9d7563e1ca1b · outbound

This paper cites Evolutionary undersampling for imbalanced big data classification,.

A Comprehensive Survey on Imbalanced Data Learning Evolutionary undersampling for imbalanced big data classification,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.507977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1f8944-a032-43ac-b4da-9bd07cabfc60 · outbound

This paper cites Eusc: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification,.

A Comprehensive Survey on Imbalanced Data Learning Eusc: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.512903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e83d8682-52a4-4b44-b07f-fb0c58beb81a · outbound

This paper cites Eusboost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling,.

A Comprehensive Survey on Imbalanced Data Learning Eusboost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.517978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 017c2536-26e6-4806-8f9d-4d2cb80da185 · outbound

This paper cites Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy,.

A Comprehensive Survey on Imbalanced Data Learning Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.522742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d59496-9582-475d-8534-7270f2c180fa · outbound

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

A Comprehensive Survey on Imbalanced Data Learning Trainable undersampling for class-imbalance learning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.527629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a2a1de-d633-4f45-8b76-116cf9b162f9 · outbound

This paper cites Spatial distribution-based imbalanced undersampling,.

A Comprehensive Survey on Imbalanced Data Learning Spatial distribution-based imbalanced undersampling,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.532310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e49d643-7ee7-4665-a915-76225538c0fe · outbound

This paper cites Relevant information un- dersampling to support imbalanced data classification,.

A Comprehensive Survey on Imbalanced Data Learning Relevant information un- dersampling to support imbalanced data classification,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.537430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e1d958f-b250-4878-862d-d5b004205c0d · outbound

This paper cites Entropy and confidence-based un- dersampling boosting random forests for imbalanced problems,.

A Comprehensive Survey on Imbalanced Data Learning Entropy and confidence-based un- dersampling boosting random forests for imbalanced problems,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.542336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629de183-8c4c-4c38-ba45-63338256d745 · outbound

This paper cites A study of the behavior of several methods for balancing machine learning training data,.

A Comprehensive Survey on Imbalanced Data Learning A study of the behavior of several methods for balancing machine learning training data,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.547070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7779fe8b-8176-49a1-8a5d-197e80b23a4e · outbound

This paper cites A cluster-based hybrid sampling approach for imbalanced data classification,.

A Comprehensive Survey on Imbalanced Data Learning A cluster-based hybrid sampling approach for imbalanced data classification,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.551741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135d45aa-2da3-42a5-bfac-c4759b7042f0 · outbound

This paper cites Smote-rsb*: a hybrid preprocessing approach based on oversampling and undersam- pling for high imbalanced data-sets using smote and rough sets theory,.

A Comprehensive Survey on Imbalanced Data Learning Smote-rsb*: a hybrid preprocessing approach based on oversampling and undersam- pling for high imbalanced data-sets using smote and rough sets theory,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.556601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505e0437-d5a9-4d4e-b528-7c568a6ff0e4 · outbound

This paper cites Smote–ipf: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering,.

A Comprehensive Survey on Imbalanced Data Learning Smote–ipf: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.561181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24c9fb9-ed71-4bbb-a2e1-49ba78b6024e · outbound

This paper cites An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling,.

A Comprehensive Survey on Imbalanced Data Learning An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.565748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afadcf7d-7016-48b5-b42e-02ea6d4d9984 · outbound

This paper cites Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition,.

A Comprehensive Survey on Imbalanced Data Learning Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.570560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b978e9-1147-48b3-ac14-7ebde9a91746 · outbound

This paper cites The devil is in classification: A simple framework for long- tail instance segmentation,.

A Comprehensive Survey on Imbalanced Data Learning The devil is in classification: A simple framework for long- tail instance segmentation,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.575329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad32292-77ca-4684-a868-f187c320300a · outbound

This paper cites Long-tailed multi-label visual recognition by collaborative training on uniform and re-balanced samplings,.

A Comprehensive Survey on Imbalanced Data Learning Long-tailed multi-label visual recognition by collaborative training on uniform and re-balanced samplings,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.579581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d45c07-e8ce-4252-84f4-868dde5ac6ef · outbound

This paper cites Overcoming classifier imbalance for long-tail object detection with balanced group softmax,.

A Comprehensive Survey on Imbalanced Data Learning Overcoming classifier imbalance for long-tail object detection with balanced group softmax,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.584224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb00e914-1024-41fe-af27-ee5c125d5ba4 · outbound

This paper cites Learning from multiple experts: Self- paced knowledge distillation for long-tailed classification,.

A Comprehensive Survey on Imbalanced Data Learning Learning from multiple experts: Self- paced knowledge distillation for long-tailed classification,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.588714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5050a4c-78cb-4ea6-b161-c25a3bd22f92 · outbound

This paper cites Ace: Ally complementary experts for solving long-tailed recognition in one-shot,.

A Comprehensive Survey on Imbalanced Data Learning Ace: Ally complementary experts for solving long-tailed recognition in one-shot,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.593652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e9c55e7-46af-45a4-8973-738b1304072d · outbound

This paper cites Reslt: Residual learning for long-tailed recognition,.

A Comprehensive Survey on Imbalanced Data Learning Reslt: Residual learning for long-tailed recognition,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.598001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3f6cff-18b8-4145-8cd4-5d00de38c2d7 · outbound

This paper cites Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition,.

A Comprehensive Survey on Imbalanced Data Learning Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.602413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5389c59a-3677-4503-942e-07804565bd6f · outbound

This paper cites Potential anchoring for imbalanced data classification,.

A Comprehensive Survey on Imbalanced Data Learning Potential anchoring for imbalanced data classification,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.606858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726a48f0-d114-4c64-b773-7169034a8956 · outbound

This paper cites Constructing balance from imbal- ance for long-tailed image recognition,.

A Comprehensive Survey on Imbalanced Data Learning Constructing balance from imbal- ance for long-tailed image recognition,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.611634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3761bc-5a4e-4655-aa51-a3489305b2ea · outbound

This paper cites Ehso: Evolutionary hybrid sampling in overlapping scenarios for imbalanced learning,.

A Comprehensive Survey on Imbalanced Data Learning Ehso: Evolutionary hybrid sampling in overlapping scenarios for imbalanced learning,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.615920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1595e712-38cd-4691-a1e7-194fa2314f39 · outbound

This paper cites Dynamic sampling in convolutional neural networks for imbalanced data clas- sification,.

A Comprehensive Survey on Imbalanced Data Learning Dynamic sampling in convolutional neural networks for imbalanced data clas- sification,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.620014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58dfbfbc-6309-4d77-b4c0-485f06eac71d · outbound

This paper cites Rethinking the value of labels for improving class-imbalanced learning,.

A Comprehensive Survey on Imbalanced Data Learning Rethinking the value of labels for improving class-imbalanced learning,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.623937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15d9405e-821c-4086-9e82-d5b372d34881 · outbound

This paper cites Crest: A class- rebalancing self-training framework for imbalanced semi-supervised learning,.

A Comprehensive Survey on Imbalanced Data Learning Crest: A class- rebalancing self-training framework for imbalanced semi-supervised learning,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.628010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c309c434-3302-4c0f-8b78-97996874bc96 · outbound

This paper cites Sar: Self-adaptive refinement on pseudo labels for multiclass-imbalanced semi-supervised learning,.

A Comprehensive Survey on Imbalanced Data Learning Sar: Self-adaptive refinement on pseudo labels for multiclass-imbalanced semi-supervised learning,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.631817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce4bb0c-d876-4e54-b56f-b39b3e08749b · outbound

This paper cites Daso: Distribution-aware semantics-oriented pseudo-label for imbalanced semi-supervised learn- ing,.

A Comprehensive Survey on Imbalanced Data Learning Daso: Distribution-aware semantics-oriented pseudo-label for imbalanced semi-supervised learn- ing,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.635607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76858fd9-b6a7-489a-b0f0-e03c209d5101 · outbound

This paper cites Active learning for class imbalance problem,.

A Comprehensive Survey on Imbalanced Data Learning Active learning for class imbalance problem,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.639376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a937b652-70bf-465c-a694-e72adb081339 · outbound

This paper cites Active learning with extreme learning machine for online imbalanced multiclass classifica- tion,.

A Comprehensive Survey on Imbalanced Data Learning Active learning with extreme learning machine for online imbalanced multiclass classifica- tion,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.643040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9001556-9dd2-4eb1-a4ef-2a8ffd22d700 · outbound

This paper cites Active learning for word sense disambiguation with methods for addressing the class imbalance problem,.

A Comprehensive Survey on Imbalanced Data Learning Active learning for word sense disambiguation with methods for addressing the class imbalance problem,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.646819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5113c8-325d-4eab-bfec-090dee399865 · outbound

This paper cites Minority class oriented active learning for imbalanced datasets,.

A Comprehensive Survey on Imbalanced Data Learning Minority class oriented active learning for imbalanced datasets,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.650928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c45cf98-c357-4885-8ee8-4a1f25475d86 · outbound

This paper cites A comprehensive active learning method for multiclass imbalanced data streams with concept drift,.

A Comprehensive Survey on Imbalanced Data Learning A comprehensive active learning method for multiclass imbalanced data streams with concept drift,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.655421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacf5bc3-d777-40c4-9474-2950958ee4b0 · outbound

This paper cites A cost-sensitive active learning for imbalance data with uncertainty and diversity combination,.

A Comprehensive Survey on Imbalanced Data Learning A cost-sensitive active learning for imbalance data with uncertainty and diversity combination,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.660230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c14a164-95f7-426c-b3fe-b31775bbd727 · outbound

This paper cites Deep active learning models for imbalanced image classification,.

A Comprehensive Survey on Imbalanced Data Learning Deep active learning models for imbalanced image classification,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.665188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd5c680-8c1b-4092-8268-ff5fa4e3247b · outbound

This paper cites Certainty-enhanced active learning for improv- ing imbalanced data classification,.

A Comprehensive Survey on Imbalanced Data Learning Certainty-enhanced active learning for improv- ing imbalanced data classification,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.669972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a379271a-ce71-4069-9e7b-632b1088f950 · outbound

This paper cites Similarity-based active learning for image classification under class imbalance,.

A Comprehensive Survey on Imbalanced Data Learning Similarity-based active learning for image classification under class imbalance,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.674611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ba8ebf-a353-45fd-bcdd-7c7c94d35a0f · outbound

This paper cites Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm,.

A Comprehensive Survey on Imbalanced Data Learning Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.679209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1711dca4-d9c3-41d0-9d1e-555df5d86225 · outbound

This paper cites Thresholding for making classifiers cost- sensitive,.

A Comprehensive Survey on Imbalanced Data Learning Thresholding for making classifiers cost- sensitive,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.684087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f1f74f-4590-46f0-92a1-61130a766a04 · outbound

This paper cites Metacost: A general method for making classifiers cost- sensitive,.

A Comprehensive Survey on Imbalanced Data Learning Metacost: A general method for making classifiers cost- sensitive,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.689066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716697e7-1866-40a2-8a1b-7154e712c52a · outbound

This paper cites Training cost-sensitive neural networks with methods addressing the class imbalance problem,.

A Comprehensive Survey on Imbalanced Data Learning Training cost-sensitive neural networks with methods addressing the class imbalance problem,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.694021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347a0b8d-e62e-484f-a539-0041e238ef0d · outbound

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

A Comprehensive Survey on Imbalanced Data Learning On multi-class cost-sensitive learning,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.698769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaff513a-bb6a-4647-b04f-4890b47b95ff · outbound

This paper cites Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data,.

A Comprehensive Survey on Imbalanced Data Learning Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.703339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe17ab7-76ad-45ad-a0a3-7b660da96e4b · outbound

This paper cites Class-balanced loss based on effective number of samples,.

A Comprehensive Survey on Imbalanced Data Learning Class-balanced loss based on effective number of samples,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.707943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dece39f0-e628-455f-8ae6-80ede9361bc1 · outbound

This paper cites Focal loss for dense object detection,.

A Comprehensive Survey on Imbalanced Data Learning Focal loss for dense object detection,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.712517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af01b5e6-0bb0-4c26-8155-ebd26788e314 · outbound

This paper cites Influence-balanced loss for imbalanced visual classification,.

A Comprehensive Survey on Imbalanced Data Learning Influence-balanced loss for imbalanced visual classification,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T23:07:18.717340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers