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ORCIDJimiama Mafeni Mase
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Books and Theses
- 2023
[b1]Jimiama Mafeni Mase:
Context-aware intelligent decisions: online assessment of Heavy Goods Vehicle driving risk. University of Nottingham, UK, 2023
Journal Articles
- 2023
- [j4]Jimiama M. M. Mase
, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres:
Facial identity protection using deep learning technologies: an application in affective computing. AI Ethics 3(3): 937-946 (2023) - [j3]Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo:
Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors 23(2): 798 (2023) - 2022
- [j2]Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo:
Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing 511: 163-174 (2022) - 2019
- [j1]Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John:
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20(9): 3324-3336 (2019)
Conference and Workshop Papers
- 2023
- [c7]Jimiama M. M. Mase, Peter Chapman, Christian Wagner, Grazziela P. Figueredo:
Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. FUZZ 2023: 1-6 - 2022
- [c6]Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo:
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. LOD (2) 2022: 249-264 - 2020
- [c5]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC 2020: 1-6 - [c4]Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo:
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC 2020: 1-7 - [c3]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) 2020: 103-117 - 2019
- [c2]Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John:
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. ITSC 2019: 2330-2336 - [c1]Divish Rengasamy, Jimiama M. M. Mase, Benjamin Rothwell, Grazziela P. Figueredo:
An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. ITSC 2019: 4210-4215
Informal and Other Publications
- 2022
- [i4]Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo:
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR abs/2202.09816 (2022) - [i3]Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo:
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. CoRR abs/2208.04343 (2022) - 2021
- [i2]Divish Rengasamy, Jimiama Mafeni Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo:
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. CoRR abs/2110.11713 (2021) - [i1]Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres:
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. CoRR abs/2111.07344 (2021)
Coauthor Index
aka: Grazziela P. Figueredo
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