Jimiama Mafeni Mase
Jimiama Mafeni Mase
Data Scientist, Computer Science, University of Nottingham
Verified email at - Homepage
Cited by
Cited by
A hybrid deep learning approach for driver distraction detection
JM Mase, P Chapman, GP Figueredo, MT Torres
2020 international conference on information and communication technology …, 2020
Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour
JM Mase, S Majid, M Mesgarpour, MT Torres, GP Figueredo, P Chapman
Accident Analysis & Prevention 146, 105754, 2020
Identifying heavy goods vehicle driving styles in the united kingdom
GP Figueredo, U Agrawal, JMM Mase, M Mesgarpour, C Wagner, D Soria, ...
IEEE Transactions on Intelligent Transportation Systems 20 (9), 3324-3336, 2018
Benchmarking deep learning models for driver distraction detection
J Mafeni Mase, P Chapman, GP Figueredo, M Torres Torres
Machine Learning, Optimization, and Data Science: 6th International …, 2020
Feature importance in machine learning models: A fuzzy information fusion approach
D Rengasamy, JM Mase, A Kumar, B Rothwell, MT Torres, MR Alexander, ...
Neurocomputing 511, 163-174, 2022
Towards real-time heavy goods vehicle driving behaviour classification in the united kingdom
U Agrawal, JM Mase, GP Figueredo, C Wagner, M Mesgarpour, RI John
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2330-2336, 2019
Capturing uncertainty in heavy goods vehicles driving behaviour
JM Mase, U Agrawal, D Pekaslan, M Mesgarpour, P Chapman, MT Torres, ...
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Performance evaluation of convolutional auto encoders for the reconstruction of li-ion battery electrode microstructure
M Faraji Niri, J Mafeni Mase, J Marco
Energies 15 (12), 4489, 2022
Deep learning with attention mechanisms for road weather detection
M Samo, JM Mafeni Mase, G Figueredo
Sensors 23 (2), 798, 2023
An intelligent toolkit for benchmarking data-driven aerospace prognostics
D Rengasamy, JM Mase, B Rothwell, GP Figueredo
2019 IEEE intelligent transportation systems conference (ITSC), 4210-4215, 2019
Facial identity protection using deep learning technologies: An application in affective computing
JM Mase, N Leesakul, GP Figueredo, MT Torres
AI and Ethics 3 (3), 937-946, 2023
Contextual intelligent decisions: Expert moderation of machine outputs for fair assessment of commercial driving
JM Mase, D Pekaslan, U Agrawal, M Mesgarpour, P Chapman, MT Torres, ...
arXiv preprint arXiv:2202.09816, 2022
Mechanistic interpretation of machine learning inference: A fuzzy feature importance fusion approach
D Rengasamy, JM Mase, MT Torres, B Rothwell, DA Winkler, ...
arXiv preprint arXiv:2110.11713, 2021
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
A Kumar, JM Mase, D Rengasamy, B Rothwell, MT Torres, DA Winkler, ...
International Conference on Machine Learning, Optimization, and Data Science …, 2022
Towards privacy-preserving affect recognition: A two-level deep learning architecture
JM Mase, N Leesakul, F Yang, GP Figueredo, MT Torres
arXiv preprint arXiv:2111.07344, 2021
A Review of Intelligent Systems for Driving Risk Assessment
JM Mase, P Chapman, GP Figueredo
IEEE Transactions on Intelligent Vehicles, 2023
Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules
JMM Mase, P Chapman, C Wagner, GP Figueredo
2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023
Looking Deeper into Images for Autonomous Road Weather Detection
M Samo, JMM MASE, G Figueredo
Preprints, 2022
Contextually Intelligent Decisions: A Co-designed Approach for Commercial Driving Assessment
JMM Mase, D Pekaslan, U Agrawal, P Chapman, C Wagner, G Figueredo
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
J Mafeni Mase, D Pekaslan, U Agrawal, M Mesgarpour, P Chapman, ...
arXiv e-prints, arXiv: 2202.09816, 2022
The system can't perform the operation now. Try again later.
Articles 1–20