Niall Lyons

Orcid: 0000-0001-6250-5977

According to our database1, Niall Lyons authored at least 6 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

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

Robust Representations for Keyword Spotting Systems.
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
The Changing Role of the Software Engineer.
Proceedings of the Systems, Software and Services Process Improvement, 2019


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