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View all- Amin MWatanobe YRahman MShirafuji A(2025)Source Code Error Understanding Using BERT for Multi-Label ClassificationIEEE Access10.1109/ACCESS.2024.352506113(3802-3822)Online publication date: 2025
Code smells are characteristics of the software that indicates a code or design problem which can make software hard to understand, evolve, and maintain. There are several code smell detection tools proposed in the literature, but they produce ...
A framework for multi-label classification extended by Error Correcting Output Codes ECOCs is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to ...
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or to increase the ensemble's accuracy. This paper focuses on instance-based ...
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