Early Prediction of Sepsis Considering Early Warning Scoring Systems. - Pardis Biglarbeigi; Donal McLaughlin; Khaled Rjoob; Abdullah Abdullah; Niamh McCallan; Alicja Jasinska-Piadlo; Raymond R. Bond; Dewar D. Finlay; Mark Kok Yew Ng; Alan Kennedy; James McLaughlin 001 (CinC, 2019)

Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques. - Niamh McCallan; Dewar D. Finlay; Pardis Biglarbeigi; Gilberto Perpiñan; Michael R. Jennings; Kok Yew Ng; James McLaughlin 001; Omar Escalona (CinC, 2019)

Machine Learning Approach to Assess the Performance of Patch Based Leads in the Detection of Ischaemic Electrocardiogram Changes. - Michael R. Jennings; Pardis Biglarbeigi; Raymond R. Bond; Rob Brisk; Daniel Güldenring; Alan Kennedy; James McLaughlin 001; Dewar D. Finlay (CinC, 2020)

Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram. - Michael R. Jennings; Ali S. Rababah; Pardis Biglarbeigi; Rob Brisk; Daniel Güldenring; Raymond R. Bond; James McLaughlin 001; Dewar D. Finlay (CinC, 2020)

Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm. - Niamh McCallan; Scot Davidson; Kok Yew Ng; Pardis Biglarbeigi; Dewar D. Finlay; Boon Leong Lan; James McLaughlin 001 (APSIPA ASC, 2021)

Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence? - Alicja Jasinska-Piadlo; Raymond R. Bond; Pardis Biglarbeigi; Patricia Campbell; David J. McEneaney (CinC, 2021)

Seizure Classification Using Parallel Genetic Naive Bayes Classifiers. - Scot Davidson; Niamh McCallan; Kok Yew Ng; Pardis Biglarbeigi; Dewar D. Finlay; Boon Leong Lan; James McLaughlin 001 (CoRR, 2021)

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. - Min Jing; Kok Yew Ng; Brian Mac Namee; Pardis Biglarbeigi; Rob Brisk; Raymond R. Bond; Dewar D. Finlay; James McLaughlin 001 (J. Biomed. Informatics, 2021)

What can machines learn about heart failure? A systematic literature review. - Alicja Jasinska-Piadlo; Raymond R. Bond; Pardis Biglarbeigi; Rob Brisk; Patricia Campbell; David J. McEneaney (Int. J. Data Sci. Anal., 2022)

Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification. - Niamh McCallan; Scot Davidson; Kok Yew Ng; Pardis Biglarbeigi; Dewar D. Finlay; Boon Leong Lan; James McLaughlin 001 (CISS, 2023)

Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset. - Alicja Jasinska-Piadlo; Raymond R. Bond; Pardis Biglarbeigi; Rob Brisk; Patricia Campbell; Fiona Browne; David J. McEneaney (Int. J. Data Sci. Anal., 2023)

Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review. - Niamh McCallan; Scot Davidson; Kok Yew Ng; Pardis Biglarbeigi; Dewar D. Finlay; Boon Leong Lan; James McLaughlin 001 (Expert Syst. Appl., 2023)

Time-frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique. - Christopher McCausland; Pardis Biglarbeigi; Raymond R. Bond; Golnaz Yadollahikhales; Alan Kennedy; Anna Sigridur Islind; Erna Sif Arnardóttir; Dewar D. Finlay (Expert Syst. Appl., 2025)

Color by numbers: The implications of colormap selection in deep learning's perception. - Damilola Oladepo; Christopher McCausland; Raymond R. Bond; Dewar D. Finlay; Pardis Biglarbeigi (Inf. Sci., 2025)