18 citations · 67 across the 24 of their papers we have counts for
24 papers
Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors
Livija Jakaite, Vitaly Schetinin
We ask: when do Bayesian model averaging (BMA) weights over decision trees carry sufficient epistemic information to justify committed exploitation of the averaging distribution? W…
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
Vitaly Schetinin, Jonathan Fieldsend, Derek Partridge +4
Uncertainty of decisions in safety-critical engineering applications can be estimated on the basis of the Bayesian Markov Chain Monte Carlo (MCMC) technique of averaging over decis…
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…
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…
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data
Vitaly Schetinin, Dayou Li, Carsten Maple
The use of multiple Decision Models (DMs) enables to enhance the accuracy in decisions and at the same time allows users to evaluate the confidence in decision making. In this pape…
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…