Name
Title | ||
|---|---|---|
Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers |
Abstract | ||
|---|---|---|
Object classification in dynamic, uncontrolled environments is one of the functional elements of safety-critical Autonomous Systems. It is crucial to develop methods for the specification and verification of these elements, and the associated algorithms, in order to gain confidence in the overall safety of Autonomous Systems and their functional and behavioural correctness and adequacy. Artificial... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICAA52185.2022.00016 | 2022 IEEE International Conference on Assured Autonomy (ICAA) |
Keywords | DocType | ISBN |
Autonomous Systems,Artificial Neural Networks,Verification and Validation,Classifiers,Deep Learning,Machine Learning,Dataset Dissimilarity,Domain Shift | Conference | 978-1-6654-8539-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Darryl Hond | 1 | 0 | 0.34 |
| Hamid Asgari | 2 | 0 | 0.34 |
| Leonardo Symonds | 3 | 0 | 0.34 |
| Mike Newman | 4 | 0 | 0.34 |