9 citations · 17 across the 5 of their papers we have counts for
5 papers
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach
Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni +11
Artificial Intelligence (AI) is expected to play a key role in 6G networks including optimising system management, operation, and evolution. This requires systematic lifecycle mana…
Contextualised Out-of-Distribution Detection using Pattern Identication
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond +2
In this work, we propose CODE, an extension of existing work from the field of explainable AI that identifies class-specific recurring patterns to build a robust Out-of-Distributio…
Interpretable Out-Of-Distribution Detection Using Pattern Identification
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond +2
Out-of-distribution (OoD) detection for data-based programs is a goal of paramount importance. Common approaches in the literature tend to train detectors requiring inside-of-distr…
A Trustworthiness Score to Evaluate DNN Predictions
Abanoub Ghobrial, Darryl Hond, Hamid Asgari +1
Due to the black box nature of deep neural networks (DNN), the continuous validation of DNN during operation is challenging with the absence of a human monitor. As a result this ma…
DIRA: Dynamic Domain Incremental Regularised Adaptation
Abanoub Ghobrial, Xuan Zheng, Darryl Hond +2
Autonomous systems (AS) often use Deep Neural Network (DNN) classifiers to allow them to operate in complex, high-dimensional, non-linear, and dynamically changing environments. Du…