reject inference Latest Research Papers

A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring

Applied Soft Computing ◽

10.1016/j.asoc.2021.107259 ◽

2021 ◽

Vol 105 ◽

pp. 107259

Author(s):

Yanzhe Kang ◽

Ning Jia ◽

Runbang Cui ◽

Jiang Deng

Keyword(s):

Consumer Credit ◽

Credit Scoring ◽

Data Distribution ◽

Imbalanced Data ◽

Consumer Credit Scoring ◽

Reject Inference

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Reject inference methods in credit scoring

Journal of Applied Statistics ◽

10.1080/02664763.2021.1929090 ◽

2021 ◽

pp. 1-21

Author(s):

Adrien Ehrhardt ◽

Christophe Biernacki ◽

Vincent Vandewalle ◽

Philippe Heinrich ◽

Sébastien Beben

Keyword(s):

Credit Scoring ◽

Reject Inference ◽

Inference Methods

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Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory

Decision Support Systems ◽

10.1016/j.dss.2020.113366 ◽

2020 ◽

Vol 137 ◽

pp. 113366 ◽

Cited By ~ 6

Author(s):

Feng Shen ◽

Xingchao Zhao ◽

Gang Kou

Keyword(s):

Decision Theory ◽

Transfer Learning ◽

Credit Scoring ◽

Learning Framework ◽

Reject Inference ◽

Inference Learning

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A new approach in reject inference of using ensemble learning based on global semi-supervised framework

Future Generation Computer Systems ◽

10.1016/j.future.2020.03.047 ◽

2020 ◽

Vol 109 ◽

pp. 382-391 ◽

Cited By ~ 1

Author(s):

Yan Liu ◽

Xiner Li ◽

Zaimei Zhang

Keyword(s):

Ensemble Learning ◽

New Approach ◽

Reject Inference

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Ensemble Incremental Learning Iterative Mechanism on Reject Inference

2020 International Conference on Computing and Data Science (CDS) ◽

10.1109/cds49703.2020.00021 ◽

2020 ◽

Author(s):

Wenwen Ding ◽

Hongyang Wan

Keyword(s):

Incremental Learning ◽

Reject Inference

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Deep generative models for reject inference in credit scoring

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.105758 ◽

2020 ◽

Vol 196 ◽

pp. 105758 ◽

Cited By ~ 1

Author(s):

Rogelio A. Mancisidor ◽

Michael Kampffmeyer ◽

Kjersti Aas ◽

Robert Jenssen

Keyword(s):

Credit Scoring ◽

Generative Models ◽

Reject Inference

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Using Bayesian networks to perform reject inference

Expert Systems with Applications ◽

10.1016/j.eswa.2019.07.011 ◽

2019 ◽

Vol 137 ◽

pp. 349-356 ◽

Cited By ~ 2

Author(s):

Billie Anderson

Keyword(s):

Bayesian Networks ◽

Reject Inference

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A novel credit scoring framework for auto loan using an imbalanced-learning-based reject inference

2019 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr) ◽

10.1109/cifer.2019.8759110 ◽

2019 ◽

Author(s):

Yanzhe Kang ◽

Runbang Cui ◽

Jiang Deng ◽

Ning Jia

Keyword(s):

Credit Scoring ◽

Imbalanced Learning ◽

Reject Inference

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A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending

IEEE Access ◽

10.1109/access.2019.2927602 ◽

2019 ◽

Vol 7 ◽

pp. 92893-92907 ◽

Cited By ~ 5

Author(s):

Yufei Xia

Keyword(s):

Outlier Detection ◽

Peer To Peer ◽

Gradient Boosting ◽

Inference Model ◽

Reject Inference ◽

Peer Lending ◽

Boosting Technique

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A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines

Applied Soft Computing ◽

10.1016/j.asoc.2018.08.021 ◽

2018 ◽

Vol 73 ◽

pp. 96-105 ◽

Cited By ~ 13

Author(s):

Ye Tian ◽

Ziyang Yong ◽

Jian Luo

Keyword(s):

Support Vector Machines ◽

Credit Scoring ◽

Support Vector ◽

New Approach ◽

Vector Machines ◽

Quadratic Surface ◽

Reject Inference

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reject inference
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TOTAL DOCUMENTS

H-INDEX

A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring

Reject inference methods in credit scoring

Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory

A new approach in reject inference of using ensemble learning based on global semi-supervised framework

Ensemble Incremental Learning Iterative Mechanism on Reject Inference

Deep generative models for reject inference in credit scoring

Using Bayesian networks to perform reject inference

A novel credit scoring framework for auto loan using an imbalanced-learning-based reject inference

A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending

A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines

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reject inferenceRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring

Reject inference methods in credit scoring

Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory

A new approach in reject inference of using ensemble learning based on global semi-supervised framework

Ensemble Incremental Learning Iterative Mechanism on Reject Inference

Deep generative models for reject inference in credit scoring

Using Bayesian networks to perform reject inference

A novel credit scoring framework for auto loan using an imbalanced-learning-based reject inference

A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending

A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines

reject inference
Recently Published Documents