Paper Citation Record · LEDGER

Neural Network Based Undersampling Techniques

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.06487.

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

pith.paper-citation-record.v1
1908.06487 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:48:44.528794Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy18
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d837374-0155-4e56-8998-75399bb7e986 · outbound

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

Neural Network Based Undersampling Techniques Evolutionary undersampling boosting for imbalanced classiﬁcation of breast cancer malignancy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.452396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a866f7c-d800-4389-aa08-10ed97aad398 · outbound

This paper cites Prediction of weather-induced airline delays based on machine learning algorithms.

Neural Network Based Undersampling Techniques Prediction of weather-induced airline delays based on machine learning algorithms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.439515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 986f2856-d0ba-4757-a09a-312c514262e0 · outbound

This paper cites Effective detection of sophisticated online banking fraud on extremely imbalanced data.

Neural Network Based Undersampling Techniques Effective detection of sophisticated online banking fraud on extremely imbalanced data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.372001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd931feb-cb91-44c9-a029-4b9ae0db005e · outbound

This paper cites Information retrieval 2nd edition butterworths.London available on internet , 1979.

Neural Network Based Undersampling Techniques Information retrieval 2nd edition butterworths.London available on internet , 1979

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.259826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7301e43c-5c81-4678-be4a-d6af9f9f8249 · outbound

This paper cites Using auc and accuracy in evaluating learning algorithms.

Neural Network Based Undersampling Techniques Using auc and accuracy in evaluating learning algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.011201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f82be38-b8c8-4a17-8e3e-27aad137db38 · outbound

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

Neural Network Based Undersampling Techniques Addressing the curse of imbalanced training sets: one-sided selection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.016336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c9ec1a-32c3-4b9f-a108-fc68ad92d705 · outbound

This paper cites Classiﬁcation of imbalanced data: A review.

Neural Network Based Undersampling Techniques Classiﬁcation of imbalanced data: A review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.229021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f863aff-7e18-41b9-b1d5-7b9c0d776205 · outbound

This paper cites an unresolved cited work.

Neural Network Based Undersampling Techniques Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:48:45.214576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38e73cd9-c691-43e4-8cab-d692d32ed01f · outbound

This paper cites A generalization of the k-nn rule.

Neural Network Based Undersampling Techniques A generalization of the k-nn rule

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.201629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f989069-1873-42f7-a903-624853773ff4 · outbound

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

Neural Network Based Undersampling Techniques Improving identiﬁcation of difﬁcult small classes by balancing class distribution

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.177828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 461d212b-6b36-4295-9255-c5a59b6d04a2 · outbound

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

Neural Network Based Undersampling Techniques Smote: synthetic minority over-sampling technique

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.110025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6db64d4-1076-4c5c-9219-de69be54937b · outbound

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

Neural Network Based Undersampling Techniques Borderline-smote: a new over-sampling method in imbalanced data sets learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.096153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc191fc3-cd2a-4ace-b0e0-2244538e8611 · outbound

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

Neural Network Based Undersampling Techniques A study of the behavior of several methods for balancing machine learning training data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.082040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 817cc89d-6f58-4361-9b36-f7fc378db7cc · outbound

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

Neural Network Based Undersampling Techniques Adasyn: Adaptive synthetic sampling approach for imbalanced learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.067096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34f7b748-1144-4749-8cf7-25220b47fdd7 · outbound

This paper cites Asymptotic properties of nearest neighbor rules using edited data.

Neural Network Based Undersampling Techniques Asymptotic properties of nearest neighbor rules using edited data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:45.052225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c88049c2-a00c-476e-ac01-42033b57d209 · outbound

This paper cites knn approach to unbalanced data distribu- tions: a case study involving information extraction.

Neural Network Based Undersampling Techniques knn approach to unbalanced data distribu- tions: a case study involving information extraction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.982782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b2bf0b7-0641-4d78-9d61-2f67915c7e42 · outbound

This paper cites Random forests.

Neural Network Based Undersampling Techniques Random forests

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.272238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d61e5851-bc4c-44d8-8db9-08d5477ad81d · outbound

This paper cites Greedy function approximation: a gradient boosting machine.

Neural Network Based Undersampling Techniques Greedy function approximation: a gradient boosting machine

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.311347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71903fe6-5047-462c-820e-ed95592ee824 · outbound

This paper cites Pattern classiﬁcation and scene analysis–john wiley & sons.

Neural Network Based Undersampling Techniques Pattern classiﬁcation and scene analysis–john wiley & sons

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.884315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d5aea6a-3d6c-456c-ba38-aefadb287d8a · outbound

This paper cites Solving large scale linear prediction problems using stochastic gradient descent algorithms.

Neural Network Based Undersampling Techniques Solving large scale linear prediction problems using stochastic gradient descent algorithms

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.870652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee7a9aae-02c2-4f6c-a317-0787f48ca121 · outbound

This paper cites Logistic regression.

Neural Network Based Undersampling Techniques Logistic regression

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.435354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b14cce-7b09-4372-8635-f1dd87756ba9 · outbound

This paper cites Pedregosa, G.

Neural Network Based Undersampling Techniques Pedregosa, G

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.440410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffa3d13-a280-4c26-b8bc-98be066ba0c5 · outbound

This paper cites The numpy array: a structure for efﬁcient numerical computation.

Neural Network Based Undersampling Techniques The numpy array: a structure for efﬁcient numerical computation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.775070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f707881-ef70-494d-a84e-6975a9ce29c4 · outbound

This paper cites an unresolved cited work.

Neural Network Based Undersampling Techniques Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.449258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f15c99f-b3f7-44ae-9141-0f02a23f3001 · outbound

This paper cites an unresolved cited work.

Neural Network Based Undersampling Techniques Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.453433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1a15fb-2a90-4707-b8c2-1ae9d7272fda · outbound

This paper cites An introduction to roc analysis.

Neural Network Based Undersampling Techniques An introduction to roc analysis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T12:48:44.457638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc82d839-5b5f-4e7d-a1b8-f5875e9004ce · outbound

This paper cites Diversiﬁed ensemble classiﬁers for highly imbalanced data learning and their application in bioinformatics.

Neural Network Based Undersampling Techniques Diversiﬁed ensemble classiﬁers for highly imbalanced data learning and their application in bioinformatics

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.668154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 010ef06f-2eec-4678-8e2e-08357f356f79 · outbound

This paper cites UCI machine learning repository, 2017.

Neural Network Based Undersampling Techniques UCI machine learning repository, 2017

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:48:44.652710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.