Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. - Utkarsh Agrawal; Jimiama Mafeni Mase; Grazziela P. Figueredo; Christian Wagner 002; Mohammad Mesgarpour; Robert I. John (ITSC, 2019)

An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. - Divish Rengasamy; Jimiama M. M. Mase; Benjamin Rothwell; Grazziela P. Figueredo (ITSC, 2019)

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. - Grazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner 002; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John (IEEE Trans. Intell. Transp. Syst., 2019)

A Hybrid Deep Learning Approach for Driver Distraction Detection. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo; Mercedes Torres Torres (ICTC, 2020)

Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. - Jimiama Mafeni Mase; Utkarsh Agrawal; Direnc Pekaslan; Mohammad Mesgarpour; Peter Chapman; Mercedes Torres Torres; Grazziela P. Figueredo (ITSC, 2020)

Benchmarking Deep Learning Models for Driver Distraction Detection. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo; Mercedes Torres Torres (LOD (2), 2020)

Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. - Divish Rengasamy; Jimiama Mafeni Mase; Mercedes Torres Torres; Benjamin Rothwell; David A. Winkler; Grazziela P. Figueredo (CoRR, 2021)

Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. - Jimiama Mafeni Mase; Natalie Leesakul; Fan Yang; Grazziela P. Figueredo; Mercedes Torres Torres (CoRR, 2021)

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. - Aayush Kumar; Jimiama Mafeni Mase; Divish Rengasamy; Benjamin Rothwell; Mercedes Torres Torres; David A. Winkler; Grazziela P. Figueredo (LOD (2), 2022)

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. - Jimiama Mafeni Mase; Direnc Pekaslan; Utkarsh Agrawal; Mohammad Mesgarpour; Peter Chapman; Mercedes Torres Torres; Grazziela P. Figueredo (CoRR, 2022)

Feature importance in machine learning models: A fuzzy information fusion approach. - Divish Rengasamy; Jimiama Mafeni Mase; Aayush Kumar; Benjamin Rothwell; Mercedes Torres Torres; Morgan R. Alexander; David A. Winkler; Grazziela P. Figueredo (Neurocomputing, 2022)

Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. - Jimiama M. M. Mase; Peter Chapman; Christian Wagner 002; Grazziela P. Figueredo (FUZZ, 2023)

Facial identity protection using deep learning technologies: an application in affective computing. - Jimiama M. M. Mase; Natalie Leesakul; Grazziela P. Figueredo; Mercedes Torres Torres (AI Ethics, 2023)

Context-aware intelligent decisions: online assessment of Heavy Goods Vehicle driving risk. - Jimiama Mafeni Mase (2023)

Deep Learning with Attention Mechanisms for Road Weather Detection. - Madiha Samo; Jimiama Mafeni Mase; Grazziela P. Figueredo (Sensors, 2023)

A Review of Intelligent Systems for Driving Risk Assessment. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo (IEEE Trans. Intell. Veh., 2024)

Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data. - Eduardo Aguilar-Bejarano; Daniel Lea; Karthikeyan Sivakumar; Jimiama Mafeni Mase; Reza Omidvar; Ruizhe Li 005; Troy Kettle; James Mitchell-White; Morgan R. Alexander; David A. Winkler; Grazziela Patrocinio Figueredo (CoRR, 2025)