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Muhammad Waseem Ahmad et al.
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Wei-Chao Lin et al.
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Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance
Debashree Devi et al.
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Qi Kang et al.
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Sergio Ramirez-Gallego et al.
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Shin Ando et al.
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Lixiang Duan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
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Shangxuan Tian et al.
PATTERN RECOGNITION (2016)
Development and Evaluation of Cost-Sensitive Universum-SVM
Sauptik Dhar et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems
Wing W. Y. Ng et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Using Class Imbalance Learning for Software Defect Prediction
Shuo Wang et al.
IEEE TRANSACTIONS ON RELIABILITY (2013)
Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules
Benjamin Quost et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2011)
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
Chris Seiffert et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2010)
The combination of multiple classifiers using an evidential reasoning approach
Yaxin Bi et al.
ARTIFICIAL INTELLIGENCE (2008)
Measuring ambiguity in the evidence theory
Anne-Laure Jousselme et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2006)
Decision making in the TBM: the necessity of the pignistic transformation
P Smets
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2005)
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J Yang et al.
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