Darryl Hond

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 9

Top Topics

Triangle Inequality

Normal Distribution

Pattern Detection

Top Venues

Int. J. Artif. Intell. Mach. Learn.

SAFECOMP Workshops

Publications

Gabriele Incorvaia, Darryl Hond, Hamid Asgari
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. AITest (2023)
Abanoub Ghobrial, Darryl Hond, Hamid Asgari, Kerstin Eder
A Trustworthiness Score to Evaluate DNN Predictions. AITest (2023)
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
Interpretable Out-Of-Distribution Detection Using Pattern Identification. CoRR (2023)
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
Contextualised Out-of-Distribution Detection Using Pattern Identification. SAFECOMP Workshops (2023)
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
Contextualised Out-of-Distribution Detection using Pattern Identication. CoRR (2023)
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)
Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder
Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation. CoRR (2022)
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) (2021)
Darryl Hond, Hamid Asgari, Daniel Jeffery
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures. ICMLA (2020)
Darryl Hond, Libor Spacek
Distinctive Descriptions for Face Processing. BMVC (1997)