A genetic algorithm-selected ensemble of deep belief networks is reported to improve Android malware detection accuracy and robustness under a single 10% label noise scenario.
Design and implementation of a genetic-based algorithm for data mining
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SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning
A genetic algorithm-selected ensemble of deep belief networks is reported to improve Android malware detection accuracy and robustness under a single 10% label noise scenario.