… , in this paper, we analyze the performance of a hierarchical multiple Deep Neural Network
(DNN) classifier learning algorithm that uses an accurately designed set of features. To …

… in neural network architecture and its hyperparameters affect the results of biometric identification
based on keystroke dynamics… detailed analysis of the performance of different models, …

… Improving performance and usability in mobile keystroke dynamic biometric authentication.
… method with multilayer feedforward neural network using keystroke dynamics. In Chawki …

… at the performance of algorithms across datasets. Here… keystroke dynamic authentication.
Specifically, we will be applying an artificial neural network to two different keystroke dynamics …

… Neural Network along with Keystroke Dynamics. In their work, the application of the Chaotic
Neural Network … Different datasets has been used to evaluate the performance of machine …

… We present TypeNet, a Recurrent Neural Network trained with keystroke sequences from
more than 100,000 subjects. We analyze the performance of three different learning strategies …

… We evaluate the performance of the authentication system in terms of Equal Error … using
keystroke dynamics data. In this work, an image transformation is applied to keystroke dynamics …

… data so there might be another possibility to boost performance using a time varying sampling
technique… Application of recurrent neural networks for user verification based on keystroke …

… of the art on user login authentication systems based on keystroke dynamics. In Sect. 3, we
… CNN model in keystroke dynamics and adopt more ways to make the performance better, so …

… The values used as performance metrics in this study were the false acceptance rate (FAR) …
drawbacks using keystroke dynamics. In Reference 4, the case study using neural networks, …