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Paper Citation Record · LEDGER

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.21880.

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pith.paper-citation-record.v1
2607.21880 v1

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measured 50 of 50 reference resolution

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measured 50 of 50 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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50 of 50 outbound references displayed

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Outbound references

Observation 75d68809-fa80-48f4-85f4-82bb6794a4e2 · outbound

This paper cites Albers, H.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Albers, H

Reference 1

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This paper cites Analysis and comparison of feature selection methods towards performance and stability.Expert Systems with Applications, 249:123667, 2024.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Analysis and comparison of feature selection methods towards performance and stability.Expert Systems with Applications, 249:123667, 2024

Reference 2

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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This paper cites Blum and Pat Langley.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Blum and Pat Langley

Reference 4

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Observation 9b65026e-ecaa-4e3c-9571-9d70ceff58e2 · outbound

This paper cites A randomized subspace-based approach for dimensionality reduction and important variable selection.Jour- nal of Machine Learning Research, 24(76):1–31, 2023.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection A randomized subspace-based approach for dimensionality reduction and important variable selection.Jour- nal of Machine Learning Research, 24(76):1–31, 2023

Reference 5

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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This paper cites Springer, 2011.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Springer, 2011

Reference 7

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Observation 9f0f7c11-9084-4f8b-9f54-184fab0aabb5 · outbound

This paper cites A survey on feature selection meth- ods.Computers & Electrical Engineering, 40(1):16–28, 2014.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection A survey on feature selection meth- ods.Computers & Electrical Engineering, 40(1):16–28, 2014

Reference 8

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This paper cites Improved facial outcome assessment using a 3d anthropometric mask.International journal of oral and maxillofacial surgery, 41:324–30, 11.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Improved facial outcome assessment using a 3d anthropometric mask.International journal of oral and maxillofacial surgery, 41:324–30, 11

Reference 9

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This paper cites Liberton, Katleen Daniels, Kerri Matthes Rosana, Ellen E.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Liberton, Katleen Daniels, Kerri Matthes Rosana, Ellen E

Reference 10

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This paper cites White, Tomek Swigut, Dzemila Sero, Jiarui Li, Myoung Keun Lee, Arslan Zaidi, Brooke C.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection White, Tomek Swigut, Dzemila Sero, Jiarui Li, Myoung Keun Lee, Arslan Zaidi, Brooke C

Reference 11

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This paper cites Conte, A.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Conte, A

Reference 12

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This paper cites Open Access uptake by universities worldwide.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Open Access uptake by universities worldwide

Reference 13

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This paper cites Sure independence screening for ultrahigh dimensional fea- ture space.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70(5):849–911, 2008.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Sure independence screening for ultrahigh dimensional fea- ture space.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70(5):849–911, 2008

Reference 14

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This paper cites an unresolved cited work.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

Reference 15

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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This paper cites An introduction to variable and feature selection.J.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection An introduction to variable and feature selection.J

Reference 18

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This paper cites Zadeh.Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing).

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Zadeh.Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

Reference 19

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This paper cites Fengler.Canonical Correlation Analysis, pages 443–454.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Fengler.Canonical Correlation Analysis, pages 443–454

Reference 20

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This paper cites Hardoon, Sandor R.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Hardoon, Sandor R

Reference 21

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Johnson and Dean W

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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This paper cites Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression

Reference 24

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This paper cites Trevino, Jiliang Tang, and Huan Liu.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Trevino, Jiliang Tang, and Huan Liu

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Mentch and G

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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This paper cites Kempa-Liehr, and Justin M.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Kempa-Liehr, and Justin M

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This paper cites Exploring elastic net and multivariate regression.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Exploring elastic net and multivariate regression

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This paper cites Rainger, H.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Rainger, H

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This paper cites Rencher and William F.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Rencher and William F

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This paper cites Overfitting in making comparisons between variable selection methods.Journal of Machine Learning Research, 3:1371–1382, 2003.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Overfitting in making comparisons between variable selection methods.Journal of Machine Learning Research, 3:1371–1382, 2003

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This paper cites A review of feature selection tech- niques in bioinformatics.Bioinformatics, 23(19):2507–2517, August 2007.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection A review of feature selection tech- niques in bioinformatics.Bioinformatics, 23(19):2507–2517, August 2007

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This paper cites Scornet, G.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Scornet, G

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Seoane, Colin Campbell, Ian N

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This paper cites Sheehan-Rooney, B.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Sheehan-Rooney, B

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This paper cites Variable importance measures for multivariate random forests.Journal of Data Science, 23(1):243–263, 2025.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Variable importance measures for multivariate random forests.Journal of Data Science, 23(1):243–263, 2025

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Observation 5e84228f-cfa2-4b81-80bb-297feec9e6cb · outbound

This paper cites Synergy, redundancy, and multivariate information measures: An experimentalist’s perspective.Journal of computational neuroscience, 36, 07 2013.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Synergy, redundancy, and multivariate information measures: An experimentalist’s perspective.Journal of computational neuroscience, 36, 07 2013

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This paper cites Some properties of two measures of multivariate association.Psychometrika, 53(1):109–122, 1988.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Some properties of two measures of multivariate association.Psychometrika, 53(1):109–122, 1988

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

Reference 47

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This paper cites Zhao and G.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Zhao and G

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Observation cb936c73-f9b7-465d-b673-c7a526ae68bc · outbound

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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection Unresolved cited work

Reference 2011

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Observation 4562ca8a-cfe4-4a29-acfa-b972745f4220 · outbound

This paper cites A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression

Reference 2013

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This paper cites URL https://doi.org/10.1093/bioinformatics/ btm344.

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection URL https://doi.org/10.1093/bioinformatics/ btm344

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