Niall Lyons
Orcid: 0000-0001-6250-5977
According to our database1,
Niall Lyons
authored at least 7 papers
between 2019 and 2024.
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Bibliography
2024
WIFIACT: Enhancing Human Sensing Through Environment Robust Preprocessing And Bayesian Self-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning.
CoRR, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2019
Proceedings of the Systems, Software and Services Process Improvement, 2019