Using convolutional neural networks for classification of malware represented as images

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.5K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 56.5K citations · Full text

Engineering, Machine Learning, Multilayer Neural Networks +17

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.2K citations

Textural Features for Image Classification

Robert M. Haralick, Karthikeyan Shanmugam, I. Dinstein · IEEE Transactions on Systems Man and Cybernetics · 1973 · 22.2K citations

Image Classification, Image Analysis, Machine Vision +15

Rectified Linear Units Improve Restricted Boltzmann Machines

Vinod Nair, Geoffrey E. Hinton · International Conference on Machine Learning · 2010 · 13.2K citations

Convolutional Neural Network, Engineering, Machine Learning +18