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Paper Citation Record · LEDGER

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification

As of 12 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2306.06213.

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

pith.paper-citation-record.v1
2306.06213 v3

Coverage vector

measured 72 of 72 reference resolution

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measured 72 of 72 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.

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

72 of 72 outbound references displayed

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External citation measurements

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Outbound references

Observation 6809759b-71a5-4c75-bca2-36516cdffd32 · outbound

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Unresolved cited work

Reference 1

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This paper cites Least squares twin support vec tor machines for pattern classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Least squares twin support vec tor machines for pattern classification

Reference 2

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This paper cites Robust optimizatio n, Princeton University Press.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust optimizatio n, Princeton University Press

Reference 3

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust cla ssification

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This paper cites On lp-suppo rt vector machines and multidimensional kernels.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification On lp-suppo rt vector machines and multidimensional kernels

Reference 5

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This paper cites A training algorithm for o ptimal margin classifiers.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A training algorithm for o ptimal margin classifiers

Reference 6

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This paper cites Multicategory classific ation by support vector ma- chines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Multicategory classific ation by support vector ma- chines

Reference 7

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This paper cites Clu stering categories in support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Clu stering categories in support vector machines

Reference 8

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Unresolved cited work

Reference 9

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This paper cites A new fuzzy twin support vector machin e for pattern classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A new fuzzy twin support vector machin e for pattern classification

Reference 10

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This paper cites Proportional sampling strat egy: a compendium and some insights.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Proportional sampling strat egy: a compendium and some insights

Reference 11

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This paper cites Recursive projection twin support vector machine via within-class variance minimization.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Recursive projection twin support vector machine via within-class variance minimization

Reference 12

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This paper cites Support-vector networks.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Support-vector networks

Reference 13

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This paper cites Support vector regression for time series analysis, in: Operations Research, Springer.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Support vector regression for time series analysis, in: Operations Research, Springer

Reference 14

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Unresolved cited work

Reference 15

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This paper cites A review on multi-class twsvm.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A review on multi-class twsvm

Reference 16

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A multiclass nonparallel parametric-margin support vector machine

Reference 17

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This paper cites Robust and distributio nally robust optimization models for linear support vector machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust and distributio nally robust optimization models for linear support vector machine

Reference 18

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This paper cites Using machine lear ning techniques to reduce uncertainty for outpatient appointment scheduling practices in ou tpatient clinics.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Using machine lear ning techniques to reduce uncertainty for outpatient appointment scheduling practices in ou tpatient clinics

Reference 19

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This paper cites Graph implementations for nonsmoot h convex programs, in: Blondel, V., Boyd, S., Kimura, H.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Graph implementations for nonsmoot h convex programs, in: Blondel, V., Boyd, S., Kimura, H

Reference 20

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification CVX: Matlab software for disciplined c onvex programming, version 2.1

Reference 21

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This paper cites Deep learning for credit scoring: Do or don’t? European Journal of Operational Research 295, 292–305.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Deep learning for credit scoring: Do or don’t? European Journal of Operational Research 295, 292–305

Reference 22

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This paper cites New support vector algorithms with parametric insensitive/margin model.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification New support vector algorithms with parametric insensitive/margin model

Reference 23

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This paper cites A comparison of methods for multiclass s upport vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A comparison of methods for multiclass s upport vector machines

Reference 24

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Twin support vector machines for pattern classification

Reference 25

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This paper cites A novel e mbedded min-max approach for feature selection in nonlinear support vector machine classifica tion.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A novel e mbedded min-max approach for feature selection in nonlinear support vector machine classifica tion

Reference 26

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification UCI machine learnin g repository

Reference 27

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This paper cites Multi-class svm classifier based on p airwise coupling, in: Lee, S.W., Verri, A.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Multi-class svm classifier based on p airwise coupling, in: Lee, S.W., Verri, A

Reference 28

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A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Pattern separation and prediction via linear and semidefinite programming

Reference 29

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Observation 30a09fee-a9e2-4d85-a078-171dd35a75f5 · outbound

This paper cites A robust formu lation for twin multiclass support vector machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A robust formu lation for twin multiclass support vector machine

Reference 30

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This paper cites Robust nonpar allel support vector machines via second-order cone programming.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust nonpar allel support vector machines via second-order cone programming

Reference 31

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This paper cites Ma chine learning based classification models for covid-19 patients, in: Aringhieri, R., Maggion i, F., Lanzarone, E., Reuter-Oppermann, M., Righini, G., Vespucci, M.T.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Ma chine learning based classification models for covid-19 patients, in: Aringhieri, R., Maggion i, F., Lanzarone, E., Reuter-Oppermann, M., Righini, G., Vespucci, M.T

Reference 32

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This paper cites A Novel Robust Optimization Model for Nonlinear Support Vector Machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A Novel Robust Optimization Model for Nonlinear Support Vector Machine

Reference 33

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Observation 4973856f-21f4-487f-9932-7c87b22e3261 · outbound

This paper cites A robust nonlinear support vector machine approach for vehicles smog rating classification, in: Bruglieri, M., Festa, P., Mac rina, G., Pisacane, O.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A robust nonlinear support vector machine approach for vehicles smog rating classification, in: Bruglieri, M., Festa, P., Mac rina, G., Pisacane, O

Reference 34

Resolution
verified exact
doi, observed 2026-05-24T08:26:04.185828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:154f34e8737c2f7fc05ae028dfc7aef2dd885aa70f4934df069f5fa9fcaadb1a

Observation a5cf139d-d291-4e73-9251-395d667f77e7 · outbound

This paper cites Pro fit-driven churn prediction for the mutual fund industry: A multisegment approach.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Pro fit-driven churn prediction for the mutual fund industry: A multisegment approach

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.505221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:680b2abb5172b54a1755b22427e5bcf745f1de1086a0fc3fd2589ff4f2cdd3ca

Observation 0b0cc0ec-3ebd-482d-bd5e-c0d86b050ede · outbound

This paper cites A second-orde r cone programming formulation for twin support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A second-orde r cone programming formulation for twin support vector machines

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.511743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:70dcbc03ac6a118c8e3479aaef8ba4ba575409411dea65927431b6626b78608e

Observation b2d0450d-6890-4ed2-84a1-c6ebd30e8b72 · outbound

This paper cites The cobb-doug las learning machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification The cobb-doug las learning machine

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.437428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:8b2fae02489f34456b63e4acd87eaaedd54a2e8c2873ef0a48c31d755a190654

Observation 31db349e-0628-4297-a1f9-f3c34b1ed982 · outbound

This paper cites Profit-based chu rn prediction based on minimax probability machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Profit-based chu rn prediction based on minimax probability machines

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.531211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:d521f44c8b86a040e5e870a81870a1bb8a9b77a5e7caeb064eaf4051989b1ef8

Observation e71fe1cd-e400-464d-9302-1c1c4ac998b7 · outbound

This paper cites Multiclass skin lesion loca lization and classification using deep learning based features fusion and selection framework for smart healthcare.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Multiclass skin lesion loca lization and classification using deep learning based features fusion and selection framework for smart healthcare

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.505736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:0e9866ef9fd3a0c214ed96437e4276dd58397503fc9327ef382a0899cdf54a24

Observation 5eaecbfe-a6d3-43c9-bb9b-d4bda8af1061 · outbound

This paper cites Multi-kernel covariance terms in multi-output support vector machines, in: Nicosia, G., Ojha, V., La Malfa, E., Jansen, G., Sc iacca, V., Pardalos, P., Giuffrida, G., Umeton, R.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Multi-kernel covariance terms in multi-output support vector machines, in: Nicosia, G., Ojha, V., La Malfa, E., Jansen, G., Sc iacca, V., Pardalos, P., Giuffrida, G., Umeton, R

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.494624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:2096353fc05dd9ef21d29d302249580935a9ca9d38d8908fb54550d80dbd5c2c

Observation 32fcbe0a-0e86-44f1-ab0e-92a192ca2364 · outbound

This paper cites The MOSEK optimization toolbox for MATLAB ma nual.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification The MOSEK optimization toolbox for MATLAB ma nual

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.552677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:2809e86cf702032f62224ae6e3bd3b7ed9db3f2e698cf0b82e050351ebb6c4a6

Observation f20ee0e2-8d4a-463d-8946-9f0fca71f3ca · outbound

This paper cites URL: https://open.canada.ca/en/open-data.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification URL: https://open.canada.ca/en/open-data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.440675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:53229ce674bbb85d781ec9fc2043715c1413aad5af4be88d6c95e652103860ac

Observation 43d75458-6bfb-4ab0-92e3-627392fef1c5 · outbound

This paper cites Tpmsvm: A novel twin parametric-margin suppo rt vector machine for pattern recognition.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Tpmsvm: A novel twin parametric-margin suppo rt vector machine for pattern recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.463703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:7726e9270733a8e882a229c9ecc967ffc4a31ec18541bb265f393de862b2ca87

Observation 312ed260-cf2e-48b3-acb0-ab63053854b8 · outbound

This paper cites Improvements on twin param etric-margin support vector machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Improvements on twin param etric-margin support vector machine

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.614147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:bbbd267122bfb296d7f7ef387b9fdde49455455c271d6bc8fd743cf29fe496b2

Observation c23ade14-a11c-4dc2-be73-9eb427822dd4 · outbound

This paper cites Structural twin parametric-m argin support vector machine for binary classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Structural twin parametric-m argin support vector machine for binary classification

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.610994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:5b64feb317745e41996b3cd2b09623cd6eb7032ddafa01e83fde3c689faa9641

Observation 88c2bec3-cd18-4111-bdc7-ec16bca4faaf · outbound

This paper cites Robust minimum class variance twin suppor t vector machine classifier.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust minimum class variance twin suppor t vector machine classifier

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.607719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:c652a2b3172214e0b4f02ebba643ace5df39d526e3d9bf9eca860968bf21c485

Observation f645c87b-3b81-4282-8edc-4ae2fd1d0f51 · outbound

This paper cites Famcdm: A fusion appro ach of mcdm methods to rank multiclass classification algorithms.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Famcdm: A fusion appro ach of mcdm methods to rank multiclass classification algorithms

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.604555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:8214232e793265de612ab590a63e524ccb2f14c01e5475368037d8a29dfcd63e

Observation 23def4fb-6cdf-4bd0-8170-29a15a3b000b · outbound

This paper cites Large margin da gs for multiclass classifi- cation, in: Solla, S., Leen, T., M¨ uller, K.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Large margin da gs for multiclass classifi- cation, in: Solla, S., Leen, T., M¨ uller, K

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.545822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:4c0d3ef2224967dea29f063a7695d87011bee198a88a06512a39a57fbc8d73ff

Observation 024e442d-98c2-4784-8f34-9ba757e0c924 · outbound

This paper cites Robust twin support vector machine for pattern classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust twin support vector machine for pattern classification

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.529993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:7bf4ee5c0c02a6272d525e9bba1ac2968295fd1c0eb2f5450b41e9f2ba6156cc

Observation 39e281a8-0866-4663-b398-6ba8adddc241 · outbound

This paper cites Frameworks and results in dist ributionally robust opti- mization.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Frameworks and results in dist ributionally robust opti- mization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.597850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:bae6ea5173a9caf35f222e451f8cb262cfcb1adcea2add931de0b436bf8bcdeb

Observation 7f41b60c-0965-4be1-ac27-5442be036561 · outbound

This paper cites Real and complex analysis.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Real and complex analysis

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.517870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:d6a1c203dd6f3b31f72d477f72e76efcaaba286d76220237a663684677fb824f

Observation dd3665b4-04e2-4164-9074-f37388ca8eda · outbound

This paper cites Improved robust nonparallel suppo rt vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Improved robust nonparallel suppo rt vector machines

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.526567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:470f3fecc05998f05538b581d30cec832aa6c8af8a4afe169c77172e3ad3d244

Observation 32db8b1b-1d1e-4a18-8ff8-f7532e29ea56 · outbound

This paper cites New support vector algo- rithms.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification New support vector algo- rithms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.553366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:2274429a31b1327320364fe10fdbc5230c38036bab899a96fe94eea4958ce896

Observation f7843fa1-1bc9-435e-b0de-89ed66758a29 · outbound

This paper cites Learning with Kernels: Suppor t Vector Machines, regular- ization, optimization, and beyond.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Learning with Kernels: Suppor t Vector Machines, regular- ization, optimization, and beyond

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.547426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:f5730f9d7148e9e10512e628200b8b524d094bbef333243c57f0b8fb2bd7dbbf

Observation 9f326029-d0a0-4b91-9858-8d05d7c18478 · outbound

This paper cites Least squares t win parametric-margin support vector machine for classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Least squares t win parametric-margin support vector machine for classification

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.564910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:a5c072eebccdd84490abc8b7d2a5117825946ba30a9dbec7e6e6aed117652443

Observation 923de0b0-c3f0-4900-b77b-ea9d237c0189 · outbound

This paper cites T he best separating decision tree twin support vector machine for multi-class classificat ion.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification T he best separating decision tree twin support vector machine for multi-class classificat ion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.457039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:b1df6e23f617cd1cde5813af5c2d9563864abeaa955a550035ece5681f97ffcc

Observation 1956fd37-0fb3-4e00-bccc-1351da7e77a0 · outbound

This paper cites Lectures o n Stochastic Programming - Modeling and Theory.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Lectures o n Stochastic Programming - Modeling and Theory

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.598747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:6fa1accb6f5b55bdaf9233571becb9f44a489c473fcac9b6176b39d9a2d9d61d

Observation 177baf99-016e-4589-ba06-50e3c3f845b1 · outbound

This paper cites Comprehen sive review on twin support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Comprehen sive review on twin support vector machines

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.593567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:5c3d39703001103d1a0f82228f4bf3af5e8559dc9e5b2c46fd715562b5c41fd8

Observation a9ff008e-ff82-4785-857c-97ff2771ca5a · outbound

This paper cites Robust classification and regre ssion using support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robust classification and regre ssion using support vector machines

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.588480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:437e5b56886ee7d83d5dd21a60fa4b23fb647ba4ddc0bdddc66bb17cbab36639

Observation eb9b34ab-6cd6-49c9-a102-2a0fb3be973b · outbound

This paper cites Suppo rt vector frontiers: A new approach for estimating production functions through support v ector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Suppo rt vector frontiers: A new approach for estimating production functions through support v ector machines

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.568138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:42f27024f0d375f85ef4b3ad78b9e67a6d6317147af086382a14bcaa566ccc88

Observation f8cd6d92-a1fe-4179-8b77-2fd30733aa65 · outbound

This paper cites Theory of Pattern Reco gnition.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Theory of Pattern Reco gnition

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.588046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:ff8f1970dd1b56e5c9e0c0ee7123f410ff86941c8df60b84ebdeedce9f654088

Observation 15c7e820-01a6-4564-9c82-3fae39b6e56b · outbound

This paper cites Twin-parametric margin suppor t vector machine with truncated pinball loss.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Twin-parametric margin suppor t vector machine with truncated pinball loss

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.575716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:9978a71d64b9a47cbd510ae1e2e2ff99816e0e0974ea8287ff3b9fa013db423e

Observation acd737e1-0bb5-4bda-8851-0dc48ca644c5 · outbound

This paper cites A ga-based model selection f or smooth twin parametric- margin support vector machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A ga-based model selection f or smooth twin parametric- margin support vector machine

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.578603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:0fee3bbf6879ceb9c4a317398cc345e1e855e996d0baed5bc0e06df24165c200

Observation d5452bee-6574-4c75-b648-dae54d1759c6 · outbound

This paper cites Extending t win support vector machine classifier for multi-category classification problems.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Extending t win support vector machine classifier for multi-category classification problems

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.561482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:4a991f59354826a2ba73216b7959a0de30f529f4685a841915de101c1fb7b347

Observation f1ab7112-56fd-4589-8474-cdf1c26f254b · outbound

This paper cites Robustness and regula rization of support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Robustness and regula rization of support vector machines

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.508406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:83f37078164ffdf011b9abbd1d5faea56465c396fd11e2dea8d7febb35e52630

Observation 39286e3b-5a16-483f-9159-f33d9f4e216e · outbound

This paper cites A twin multi-class classification sup port vector machine.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A twin multi-class classification sup port vector machine

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.525209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:4ea618a2d626ed34c6a9ac546060ccc62221bf37a4a5ca15db1499ed47667d7b

Observation e63de37b-cb68-442e-8084-fe021cfdad29 · outbound

This paper cites A novel twin support-vector ma chine with pinball loss.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification A novel twin support-vector ma chine with pinball loss

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.578849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:90f03cbc147b34d7c9709c6128c9d83e9bc95a0dc89a7d85531be19585ee69b4

Observation 02376732-1e05-4f4e-b0ae-6dafe259d8de · outbound

This paper cites Linear programming approaches for multicate gory support vector machines.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Linear programming approaches for multicate gory support vector machines

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.582393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:e4be35b282dc2e66eadb965f94640d827b98f134540c181bff6fe9b43d5f9fd2

Observation db302834-dc57-491d-8948-50381a67fa05 · outbound

This paper cites Multiple birth support vect or machine for multi-class classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Multiple birth support vect or machine for multi-class classification

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.591069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:acfdc2b7ffa83d193fde70455af12966221ae14634e54d65c8046cd4ec585ff8

Observation ef0b3a23-d5d1-4987-a631-1307f312f66d · outbound

This paper cites Hyper-Parameter Optimization: A Review of Algorithms and Applications.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:26:04.206222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:ad77200dee9b7d75eda8faabcaaa4cd44523e2e09a4c5d9a557190f410b4b568

Observation 849ee604-4b01-4c65-ad97-8cf4bdc82381 · outbound

This paper cites Second-order cone programm ing formulations for robust multiclass classification.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Second-order cone programm ing formulations for robust multiclass classification

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.603560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:c831eb74c826e8f2aad5608853c0b20c6630fa6f46896a4151043d8e77dfee2b

Observation 50d7bb22-84de-44b6-acc1-3c9fde979ca7 · outbound

This paper cites Big data and por tfolio optimization: A novel approach integrating dea with multiple data sources.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Big data and por tfolio optimization: A novel approach integrating dea with multiple data sources

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:26:04.584961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:25:50.438365Z digest=sha256:98ffe265d6f980a574988d463f2b7670a622a4c84aaa8c5f4cfcae77854e00e5

Pith citing papers

No inbound Pith citation observations are available.