Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A comparative assessment of ensemble learning for credit scoring

7 references·16 citing·31 second hop

FromToDepth

this work references cited by second hop

References

1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
2000Neural network credit scoring models1,032 cited
2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
2006Credit scoring with a data mining approach based on support vector machines805 cited
2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
1996A comparison of neural networks and linear scoring models in the credit union environment522 cited

Cited by

2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
2015Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities531 cited
2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
2019Bagged support vector machines for emotion recognition from speech

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

248 cited

2020Machine learning techniques for credit risk evaluation: a systematic literature review226 cited

2019History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations218 cited

2017A novel heterogeneous ensemble credit scoring model based on bstacking approach214 cited

2020Machine Learning for Financial Risk Management: A Survey203 cited

2016Classifiers consensus system approach for credit scoring202 cited

2013An improved boosting based on feature selection for corporate bankruptcy prediction188 cited

2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited

2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring178 cited

2019Integration of unsupervised and supervised machine learning algorithms for credit risk assessment176 cited

2019Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring176 cited