首页|Data on Intelligent Systems Detailed by Researchers at Zewail City of Science an d Technology (Accuracy Is Not Enough: a Heterogeneous Ensemble Model Versus Fgsm Attack)
Data on Intelligent Systems Detailed by Researchers at Zewail City of Science an d Technology (Accuracy Is Not Enough: a Heterogeneous Ensemble Model Versus Fgsm Attack)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According to news reporting from Giza, Egypt, b y NewsRx journalists, research stated, “In this paper, based on facial landmark approaches, the possible vulnerability of ensemble algorithms to the FGSM attack has been assessed using three commonly used models: convolutional neural networ k-based antialiasing (A_CNN), Xc_Deep2-based DeepLab v 2, and SqueezeNet (Squ_Net)-based Fire modules. Firstly, the three individual deep learning classifier-based Facial Emotion Recognition (FER) class ifications have been developed; the predictions from all three classifiers are t hen merged using majority voting to develop the HEM_Net-based ensem ble model.”
GizaEgyptAfricaIntelligent SystemsMachine LearningZewail City of Science and Technology
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