Darryl Hond

According to our database, Darryl Hond authored at least 10 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Contextualised Out-of-Distribution Detection using Pattern Identication.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

CoRR, 2023

Interpretable Out-Of-Distribution Detection Using Pattern Identification.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

CoRR, 2023

Contextualised Out-of-Distribution Detection Using Pattern Identification.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023

Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures.

Gabriele Incorvaia, Darryl Hond, Hamid Asgari

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023

A Trustworthiness Score to Evaluate DNN Predictions.

Abanoub Ghobrial, Darryl Hond, Hamid Asgari, Kerstin Eder

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023

2022

Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation.

Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder

CoRR, 2022

Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers.

Darryl Hond, Hamid Asgari, Leonardo Symonds, Mike Newman

Proceedings of the IEEE International Conference on Assured Autonomy, 2022

2021

An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures.

Darryl Hond, Hamid Asgari, Daniel Jeffery, Mike Newman

Int. J. Artif. Intell. Mach. Learn., 2021

2020

Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures.

Darryl Hond, Hamid Asgari, Daniel Jeffery

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

1997

Distinctive Descriptions for Face Processing.

Darryl Hond, Libor Spacek

Proceedings of the British Machine Vision Conference 1997, 1997