• Aengus Daly, Lightbody, G. & Temko, A. Analysis of the impact of deep learning know-how and data in modelling neonatal EEG. Sci Rep 14, 28059 (2024). https://doi.org/10.1038/s41598-024-78979-y

• F. P. Ferreira and Aengus Daly, ConvNet and machine learning models with feature engineering using motor activity data for schizophrenia classification, 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 2022, pp. 223-227, doi: 10.1109/CBMS55023.2022.00046.

• Aengus Daly, O'Shea A, Lightbody G, Temko A. Towards Deeper Neural Networks for Neonatal Seizure Detection. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:920-923. doi: 10.1109/EMBC46164.2021.9629485. PMID: 34891440.
• Daragh Matthews, Thierry Pabiou, Ross D. Evans, Christian Beder, Aengus Daly, Predicting carcass cut yields in cattle from digital images using artificial intelligence,Meat Science, Volume 184, 2022, 108671, https://doi.org/10.1016/j.meatsci.2021.108671.

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• Le, A.D., Justin McGuinness & Dixon, E., 2021. ChunkedHCs algorithm for authorship verification problems: Reddit case study. Forensic Science International: Digital Investigation, 37, p.301185

• Ali Naeem and K Browne, Inferring Destination from Mobility Data, 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin Institute of Technology