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Explainable AI for predictive maintenance in collaboration with Volvo
Keywords Explainable AI, Predictive Maintenance, Post-hoc Explanation  +
Level Master  +
OneLineSummary Developing explainable models for predicting components failures of Volvo trucks  +
Prerequisites Artificial Intelligence, Data Mining, and Learning Systems courses; good knowledge of machine learning and neural networks; programming skills for implementing machine learning algorithms  +
References 1- Adadi, Amina, and Mohammed Berrada. "Pe … 1- Adadi, Amina, and Mohammed Berrada. "Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)." IEEE access 6 (2018): 52138-52160. 2- Arrieta, Alejandro Barredo, et al. "Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI." Information Fusion 58 (2020): 82-115. 3- https://dl.acm.org/doi/abs/10.1145/3292500.3332281 4- Cortez, Paulo, and Mark J. Embrechts. "Using sensitivity analysis and visualization techniques to open black box data mining models." Information Sciences 225 (2013): 1-17. 5- Gilpin, Leilani H., et al. "Explaining explanations: An overview of interpretability of machine learning." 2018 IEEE 5th International Conference on data science and advanced analytics (DSAA). IEEE, 2018.and advanced analytics (DSAA). IEEE, 2018.
StudentProjectStatus Draft  +
Supervisors Mahmoud Rahat + , Peyman Mashhadi +
TimeFrame Fall 2021  +
Title Explainable AI for predictive maintenance in collaboration with Volvo  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 27 September 2022 14:48:38  +
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