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Search: "[ keyword: Bagging ]" (3)
Ensemble Learning of Region Based Classifiers
Sung Ha Choi , Byung Woo Lee , Ji Hoon Yang The KIPS Transactions:PartB ,
Vol. 14, No. 4, pp. 303-310,
Aug.
2007
10.3745/KIPSTB.2007.14.4.303
10.3745/KIPSTB.2007.14.4.303
A Study on Classification Models for Predicting Bankruptcy Based on XAI
Jihong Kim, Nammee Moon KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 333-340,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
Boosting the Performance of the Predictive Model on the Imbalanced Dataset Using SVM Based Bagging and Out-of-Distribution Detection
Jong Hoon Kim, Hayoung Oh KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 11, pp. 455-464,
Nov.
2022
https://doi.org/10.3745/KTSDE.2022.11.11.455
Keywords: Imbalanced Dataset, Predictive Performance, Bagging, Out-of-Distribution(OoD) Detection
https://doi.org/10.3745/KTSDE.2022.11.11.455
Keywords: Imbalanced Dataset, Predictive Performance, Bagging, Out-of-Distribution(OoD) Detection
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Vol. 13, 2024
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Vol. 12, 2023
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).