| 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 | 75 | 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 | 46 | 2020 |
| 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 | 38 | 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 | 35 | 2018 |
| 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 | 29 | 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 | 20 | 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 | 19 | 2020 |
| Anomaly detection for unmanned aerial vehicle sensor data using a stacked recurrent autoencoder method with dynamic thresholding V Bell, D Rengasamy, B Rothwell, GP Figueredo arXiv preprint arXiv:2203.04734, 2022 | 16 | 2022 |
| 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 | 14 | 2022 |
| Deep learning with attention mechanisms for road weather detection M Samo, JM Mafeni Mase, G Figueredo Sensors 23 (2), 798, 2023 | 10 | 2023 |
| 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 | 8 | 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 | 6 | 2019 |
| 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 | 3 | 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 | 3 | 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 | 2 | 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 | 2 | 2021 |
| A Review of Intelligent Systems for Driving Risk Assessment JM Mase, P Chapman, GP Figueredo IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 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 | | 2023 |
| Context-aware intelligent decisions: online assessment of Heavy Goods Vehicle driving risk. JMM Mase University of Nottingham, 2023 | | 2023 |
| Looking Deeper into Images for Autonomous Road Weather Detection M Samo, JMM MASE, G Figueredo Preprints, 2022 | | 2022 |
