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Expert System for the Identification of Review Papers Using Ensemble Learning
2021
Pakistan Social Sciences Review
Creating an effective classifier in the presence of imbalanced data is a challenging task. The objective of this work was to apply machine learning technique to automatically identify review articles given the imbalance representation of publications types in publications. As a contribution in that direction; we develop a hybrid ensemble algorithm, called Balanced MultiBoost (BMB). The presented algorithm provides an efficient alternative to existing algorithms, by combines the strengths of
doi:10.35484/pssr.2021(5-i)38
fatcat:f5michv2ibhx3gh6qwrz5prhve