Jimiama Mafeni Mase

According to our database, Jimiama Mafeni Mase authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning with Attention Mechanisms for Road Weather Detection.

Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo

Sensors, January, 2023

Context-aware intelligent decisions: online assessment of Heavy Goods Vehicle driving risk.

Jimiama Mafeni Mase

PhD thesis, 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

Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules.

Jimiama M. M. Mase, Peter Chapman, Christian Wagner, Grazziela P. Figueredo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

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

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

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

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

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

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

2020

Benchmarking Deep Learning Models for Driver Distraction Detection.

Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres

Proceedings of the Machine Learning, Optimization, and Data Science, 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

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Hybrid Deep Learning Approach for Driver Distraction Detection.

Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John

IEEE Trans. Intell. Transp. Syst., 2019

An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics.

Divish Rengasamy, Jimiama M. M. Mase, Benjamin Rothwell, Grazziela P. Figueredo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom.

Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019