Chris Schneider
TitleCited byYear
A survey of self‐healing systems frameworks
C Schneider, A Barker, S Dobson
Software: Practice and Experience 45 (10), 1375-1398, 2015
222015
Autonomous fault detection in self-healing systems: Comparing hidden markov models and artificial neural networks
C Schneider, A Barker, S Dobson
Proceedings of International Workshop on Adaptive Self-tuning Computing …, 2014
132014
Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines
C Schneider, A Baker, S Dobson
11th IEEE International Conference and Workshops on the Engineering of …, 2014
92014
Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives
C Schneider, A Barker, S Dobson
EAI Endorsed Transactions on Self-Adaptive Systems, 15, 2014
62014
FuzzRNN: Recurrent neural networks for fuzz testing
M Sablotny, B Jensen, C Johnson
Information Security and Cryptology – ICISC 2018 1, 354-370, 2019
1*2019
Recurrent Neural Networks for Fuzz Testing Web Browsers
M Sablotny
https://arxiv.org/pdf/1812.04852.pdf, 2018
12018
Detection Method for Fault Injection using Unsupervised Machine Learning
A Matrosov, C Schneider
US Patent 81422545/18-RE-0147US01, 2018
2018
Using unsupervised machine learning for fault identification in virtual machines
C Schneider
University of St Andrews, 2015
2015
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