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2020 – today
- 2023
[c6]Abanoub Ghobrial
, Darryl Hond, Hamid Asgari, Kerstin Eder:
A Trustworthiness Score to Evaluate DNN Predictions. AITest 2023: 9-16- [c5]Gabriele Incorvaia, Darryl Hond, Hamid Asgari:
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. AITest 2023: 26-33 - [c4]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection Using Pattern Identification. SAFECOMP Workshops 2023: 423-435 - [i3]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Interpretable Out-Of-Distribution Detection Using Pattern Identification. CoRR abs/2302.10303 (2023) - [i2]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection using Pattern Identication. CoRR abs/2311.12855 (2023) - 2022
- [c3]Darryl Hond, Hamid Asgari, Leonardo Symonds, Mike Newman:
Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers. ICAA 2022: 56-63 - [i1]Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder:
Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation. CoRR abs/2205.00147 (2022) - 2021
- [j1]Darryl Hond, Hamid Asgari, Daniel Jeffery, Mike Newman:
An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures. Int. J. Artif. Intell. Mach. Learn. 11(2): 1-21 (2021) - 2020
- [c2]Darryl Hond, Hamid Asgari, Daniel Jeffery:
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures. ICMLA 2020: 115-121
1990 – 1999
- 1997
- [c1]Darryl Hond, Libor Spacek:
Distinctive Descriptions for Face Processing. BMVC 1997
Coauthor Index
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