Jimiama Mafeni Mase

14 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data.
CoRR
Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar, Jimiama Mafeni Mase, Reza Omidvar, Ruizhe Li, Troy Kettle, James Mitchell-White, Morgan R. Alexander, David A. Winkler, Grazziela Patrocinio Figueredo
2024 J jnl
A Review of Intelligent Systems for Driving Risk Assessment.
IEEE Trans. Intell. Veh.
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo
2023 — —
Context-aware intelligent decisions: online assessment of Heavy Goods Vehicle driving risk.
Jimiama Mafeni Mase
2023 J jnl
Deep Learning with Attention Mechanisms for Road Weather Detection.
Sensors
Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo
2022 J jnl
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving.
CoRR
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
2022 — conf
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python.
LOD (2)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
2022 J jnl
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python.
CoRR
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
2022 J jnl
Feature importance in machine learning models: A fuzzy information fusion approach.
Neurocomputing
Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo
2021 J jnl
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach.
CoRR
Divish Rengasamy, Jimiama Mafeni Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo
2021 J jnl
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture.
CoRR
Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
2020 — conf
A Hybrid Deep Learning Approach for Driver Distraction Detection.
ICTC
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
2020 — conf
Benchmarking Deep Learning Models for Driver Distraction Detection.
LOD (2)
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
2020 — conf
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour.
ITSC
Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
2019 — conf
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom.
ITSC
Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John