Darryl Hond

14 papers A 1C 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Future Open Networks Cross-Domain Cognitive Orchestration: A Novel Design Paradigm.
IEEE Access
Saptarshi Ghosh, Hamid Asgari, Darryl Hond, Konstantinos Antonakoglou, Ioannis Mavromatis, Noel Butler, Rasheed Hussain, Shah Zeb, Kostas Katsaros, Shadi Moazzeni, David Tee, Gabriele Incorvaia, Dimitra Simeonidou
2025 J jnl
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach.
CoRR
Juan Marcelo Parra Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M. M. Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou
2025 J jnl
Lifecycle Management of Trustworthy AI Models in 6G Networks: the Reason Approach.
IEEE Wirel. Commun.
Juan Marcelo Parra Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M. M. Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou
2024 — conf
DIRA: Dynamic Incremental Regularised Adaptation.
CAI
Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder
2023 — conf
A Trustworthiness Score to Evaluate DNN Predictions.
AITest
Abanoub Ghobrial, Darryl Hond, Hamid Asgari, Kerstin Eder
2023 — conf
Contextualised Out-of-Distribution Detection Using Pattern Identification.
SAFECOMP Workshops
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 J jnl
Contextualised Out-of-Distribution Detection using Pattern Identication.
CoRR
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 J jnl
Interpretable Out-Of-Distribution Detection Using Pattern Identification.
CoRR
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 — conf
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures.
AITest
Gabriele Incorvaia, Darryl Hond, Hamid Asgari
2022 — conf
Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers.
ICAA
Darryl Hond, Hamid Asgari, Leonardo Symonds, Mike Newman
2022 J jnl
Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation.
CoRR
Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder
2021 J jnl
An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures.
Int. J. Artif. Intell. Mach. Learn.
Darryl Hond, Hamid Asgari, Daniel Jeffery, Mike Newman
2020 C conf
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures.
ICMLA
Darryl Hond, Hamid Asgari, Daniel Jeffery
1997 A conf
Distinctive Descriptions for Face Processing.
BMVC
Darryl Hond, Libor Spacek