Towards Deeper Neural Networks for Neonatal Seizure Detection. - Aengus Daly; Alison O'Shea; Gordon Lightbody; Andriy Temko (EMBC, 2021)

ConvNet and machine learning models with feature engineering using motor activity data for schizophrenia classification. - Fellipe Paes Ferreira; Aengus Daly (CBMS, 2022)

Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection. - Aengus Daly; Gordon Lightbody; Andriy Temko (EUSIPCO, 2023)

A real-time and ultra-low power implementation of an AI-assisted sonification algorithm for neonatal EEG. - Tien Van Nguyen; Aengus Daly; Feargal O'Sullivan; Sergi Gómez-Quintana 001; Andriy Temko; Emanuel M. Popovici (IWASI, 2023)

Low-Power Real-Time Seizure Monitoring Using AI-Assisted Sonification of Neonatal EEG. - Tien Nguyen; Aengus Daly; Sergi Gómez-Quintana 001; Feargal O'Sullivan; Andriy Temko; Emanuel M. Popovici (IEEE Trans. Emerg. Top. Comput., 2025)