Alison O'Shea

According to our database, Alison O'Shea authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Deep Learning for EEG Seizure Detection in Preterm Infants.

Alison O'Shea, Rehan Ahmed, Gordon Lightbody, Elena Pavlidis, Rhodri Lloyd, Francesco Pisani, William P. Marnane, Sean Mathieson, Geraldine B. Boylan, Andriy Temko

Int. J. Neural Syst., 2021

An EEG analysis framework through AI and sonification on low power IoT edge devices.

Sergi Gómez-Quintana, Grainne Cowhig, Marco Borzacchi, Alison O'Shea, Andriy Temko, Emanuel M. Popovici

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Towards Deeper Neural Networks for Neonatal Seizure Detection.

Aengus Daly, Alison O'Shea, Gordon Lightbody, Andriy Temko

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Neonatal seizure detection: a deep learning approach.

Alison O'Shea

PhD thesis, 2020

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko

Neural Networks, 2020

2018

Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms.

Mark E. O'Sullivan, Sergi Gomez, Alison O'Shea, Eduard Salgado, Kevin Huillca, Sean Mathieson, Geraldine B. Boylan, Emanuel M. Popovici, Andriy Temko

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance.

Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Neonatal seizure detection using convolutional neural networks.

Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017