17 citations · 31 across the 4 of their papers we have counts for
5 papers
A short review on Applications of Deep learning for Cyber security
Mohammed Harun Babu R, Vinayakumar R, Soman KP
Deep learning is an advanced model of traditional machine learning. This has the capability to extract optimal feature representation from raw input samples. This has been applied…
Emotion Detection using Data Driven Models
Naveenkumar K S, Vinayakumar R, Soman KP
Text is the major method that is used for communication now a days, each and every day lots of text are created. In this paper the text data is used for the classification of the e…
RNNSecureNet: Recurrent neural networks for Cyber security use-cases
Mohammed Harun Babu R, Vinayakumar R, Soman KP
Recurrent neural network (RNN) is an effective neural network in solving very complex supervised and unsupervised tasks. There has been a significant improvement in RNN field such…
A Deep Learning Approach for Similar Languages, Varieties and Dialects
Vidya Prasad K, Akarsh S, Vinayakumar R +1
Deep learning mechanisms are prevailing approaches in recent days for the various tasks in natural language processing, speech recognition, image processing and many others. To lev…
Deep-Net: Deep Neural Network for Cyber Security Use Cases
Vinayakumar R, Barathi Ganesh HB, Prabaharan Poornachandran +2
Deep neural networks (DNNs) have witnessed as a powerful approach in this year by solving long-standing Artificial intelligence (AI) supervised and unsupervised tasks exists in nat…