XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values

Author:

Dubey Anand1,Lyons Niall2,Santra Avik3,Pandey Ashutosh3

Affiliation:

1. Infineon Technologies,Munich,Germany

2. Infineon Technologies,Dublin,Ireland

3. Infineon Technologies,Irvine

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Avian Activity Classification Using Recurrent Networks to Fuse Videos with Metadata on Imbalanced Datasets;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

2. A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition;Machine Learning and Knowledge Extraction;2024-04-18

3. Enhancing Human Activity Recognition: An Exploration of Machine Learning Models and Explainable AI Approaches for Feature Contribution Analysis;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14

4. Toward Pioneering Sensors and Features Using Large Language Models in Human Activity Recognition;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

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