Evolving neural network with extreme learning for system modeling
This p aper introduces an evolving feedforward single hidden layer neural network with
extreme learning. The evolving neural network simultaneously adapts its structure and …
extreme learning. The evolving neural network simultaneously adapts its structure and …
A continuous identity verification method based on free-text keystroke dynamics
Currently, existing continuous identity verification methods mostly need to analyze a lot of
keystroke data to ensure the authentication credibility. To achieve certification results with …
keystroke data to ensure the authentication credibility. To achieve certification results with …
Content reconstruction using keystroke dynamics: Preliminary results
L Wu, P Bours - 2014 Fifth International Conference on …, 2014 - ieeexplore.ieee.org
Keystroke dynamics is a technique used to verify the identity of a person, by investigating the
way a person types on a keyboard. This can be used for example in combination with a …
way a person types on a keyboard. This can be used for example in combination with a …
Comparison of Feature Vectors in Keystroke Dynamics: A Novelty Detection Approach
A number of current applications require algorithms able to extract a model from one-class
data and classify unseen data as self or non-self in a novelty detection scenario, such as …
data and classify unseen data as self or non-self in a novelty detection scenario, such as …