FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. - Kacper Sokol; Alexander Hepburn; Rafael Poyiadzi; Matthew Clifford; Raúl Santos-Rodríguez; Peter A. Flach (J. Open Source Softw., 2020)

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. - Kacper Sokol; Alexander Hepburn; Rafael Poyiadzi; Matthew Clifford; Raúl Santos-Rodríguez; Peter A. Flach (Zenodo, 2020)

Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. - Matthew Clifford; Jonathan Erskine; Alexander Hepburn; Peter A. Flach; Raúl Santos-Rodríguez (CIKM, 2023)

Learning Confidence Bounds for Classification with Imbalanced Data. - Matthew Clifford; Jonathan Erskine; Alexander Hepburn; Raúl Santos-Rodríguez; Dario García-García (ECAI, 2024)

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. - Jonathan Erskine; Matthew Clifford; Alexander Hepburn; Raúl Santos-Rodríguez (IJCAI, 2024)

IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. - Matthew Clifford; Alexander Hepburn; Ricardo Kleinlein; Jorge Vila-Tomás; Pablo Hernández-Cámara; Paula Dauden; Nathan F. Lepora; Valero Laparra; Raúl Santos-Rodríguez (SoftwareX, 2025)