机译:基于深度卷积神经网络的自动特征提取有效的恶意软件分类框架
College of Computer Science and Electronic Engineering Hunan University Changsha 410082 Hunan China National Supercomputing Center in Changsha Changsha 410082 Hunan China;
College of Computer Science and Electronic Engineering Hunan University Changsha 410082 Hunan China;
College of Computer Science and Electronic Engineering Hunan University Changsha 410082 Hunan China National Supercomputing Center in Changsha Changsha 410082 Hunan China;
College of Computer Science and Electronic Engineering Hunan University Changsha 410082 Hunan China National Supercomputing Center in Changsha Changsha 410082 Hunan China;
Deep learning; Feature extraction; Malware classification; Malware visualization; Information security;
机译:基于卷积神经网络的高光谱图像深度特征提取与分类
机译:基于几何特征提取的深卷积神经网络对CT图像的肺结节分类
机译:基于自适应特征选择的移动健康框架,对深卷积神经网络和QoS优化对良性恶性肺结节分类
机译:基于子空间的特征提取和卷积神经网络相结合的新型深度学习框架
机译:深度卷积神经网络用于EMBER恶意软件数据集的分类
机译:基于卷积神经网络深度特征的裂隙灯图像的小儿白内障定位和诊断框架
机译:混合恶意软件分类方法使用基于分段的分形纹理分析和深度卷积神经网络特征