Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. - Gabriele Incorvaia; Darryl Hond; Hamid Asgari (AITest, 2023)

Contextualised Out-of-Distribution Detection Using Pattern Identification. - Romain Xu-Darme; Julien Girard-Satabin; Darryl Hond; Gabriele Incorvaia; Zakaria Chihani (SAFECOMP Workshops, 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 Identication. - Romain Xu-Darme; Julien Girard-Satabin; Darryl Hond; Gabriele Incorvaia; Zakaria Chihani (CoRR, 2023)

Future Open Networks Cross-Domain Cognitive Orchestration: A Novel Design Paradigm. - Saptarshi Ghosh; Hamid Asgari; Darryl Hond; Konstantinos Antonakoglou; Ioannis Mavromatis; Noel Butler; Rasheed Hussain; Shah Zeb; Kostas Katsaros; Shadi Moazzeni; David Tee; Gabriele Incorvaia; et al. (IEEE Access, 2025)

Lifecycle Management of Trustworthy AI Models in 6G Networks: the Reason Approach. - 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; et al. (IEEE Wirel. Commun., 2025)