18 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.AI2010★ 3 cited
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG
L. Jakaite, V. Schetinin, C. Maple
The methodology of Bayesian Model Averaging (BMA) is applied for assessment of newborn brain maturity from sleep EEG. In theory this methodology provides the most accurate assessme…
cs.AI2008
Feature Selection for Bayesian Evaluation of Trauma Death Risk
L. Jakaite, V. Schetinin
In the last year more than 70,000 people have been brought to the UK hospitals with serious injuries. Each time a clinician has to urgently take a patient through a screening proce…
cs.AI2007★ 18 cited
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition
J. Uglov, V. Schetinin, C. Maple
Noise, corruptions and variations in face images can seriously hurt the performance of face recognition systems. To make such systems robust, multiclass neuralnetwork classifiers c…