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Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures., , and . AITest, page 26-33. IEEE, (2023)Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures., , and . ICMLA, page 115-121. IEEE, (2020)Contextualised Out-of-Distribution Detection using Pattern Identication., , , , and . CoRR, (2023)A Trustworthiness Score to Evaluate DNN Predictions., , , and . AITest, page 9-16. IEEE, (2023)Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers., , , and . ICAA, page 56-63. IEEE, (2022)Contextualised Out-of-Distribution Detection Using Pattern Identification., , , , and . SAFECOMP Workshops, volume 14182 of Lecture Notes in Computer Science, page 423-435. Springer, (2023)Distinctive Descriptions for Face Processing., and . BMVC, British Machine Vision Association, (1997)Interpretable Out-Of-Distribution Detection Using Pattern Identification., , , , and . CoRR, (2023)Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation., , , , and . CoRR, (2022)An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures., , , and . Int. J. Artif. Intell. Mach. Learn., 11 (2): 1-21 (2021)