Safety Assessment for Autonomous Systems' Perception Capabilities. - John Molloy; John Alexander McDermid (CoRR, 2022)

Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics. - João-Vitor Zacchi; Francesco Carella; Priyank Upadhya; Shanza Ali Zafar; John Molloy; Lisa Jöckel; Janek Groß; Núria Mata; Nguyen Anh Vu Doan (MCSoC, 2023)

Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. - Lisa Jöckel; Michael Kläs; Janek Groß; Pascal Gerber; Markus Scholz; Jonathan Eberle; Marc Teschner; Daniel Seifert; Richard Hawkins; John Molloy; Jens Ottnad (PROFES (1), 2023)

A Dynamic Assurance Framework for an Autonomous Survey Drone. - Philippa Ryan; Sepeedeh Shahbeigi; Jie Zou; Ioannis Stefanakos; John Molloy (SAFECOMP, 2024)

The Safety of Autonomy: A Systematic Approach. - John A. McDermid; Radu Calinescu; Ibrahim Habli; Richard Hawkins; Yan Jia 008; John Molloy; Matt Osborne; Colin Paterson; Zoë Porter; Philippa Ryan Conmy (Computer, 2024)

Hazard and Safety Analysis of Machine-Learning-Based Perception Capabilities in Autonomous Vehicles. - John Molloy; Sepeedeh Shahbeigi; John A. McDermid (Computer, 2024)