机译:使用CNN架构(IMCEC)集成的基于图像的恶意软件分类
School of Software Engineering Tsinghua University Beijing 100084 China Department of Computer Science Isra University Hyderabad 71000 Sindh Pakistan;
College of Engineering IT and Environment Charles Darwin University Australia;
School of Business (Business Administration) Nanjing University Jiangsu 210000 China University of Sindh Jamshoro Sindh Pakistan;
Department of Mechanical Engineering Eastern Mediterranean University C. Magosa TRNC Mersin 10 Turkey;
School of Software Engineering Tsinghua University Beijing 100084 China;
Malware; Cybersecurity; Deep learning; Transfer learning; Fine-tuning; SVMs; Softmax; Ensemble of CNNs;
机译:IMCFN:使用微调卷积神经网络架构的基于图像的恶意软件分类
机译:GP-CNN-DTEL:全球部件CNN模型,具有数据转换的集体学习,用于皮肤病变分类
机译:基于图像的恶意软件分类使用部分分发信息
机译:独奏还是合奏?选择用于黑素瘤分类的CNN架构
机译:基于图像的特征学习和分类的卷积神经网络体系结构研究。
机译:脑18F-FDG-PET扫描分类的个人和合奏CNN模型的性能比较
机译:独奏或合奏?选择用于黑色素瘤分类的CNN架构