Randomly Under Sampled Boosted Tree for Predicting Sepsis From Intensive Care Unit Databases. - Peter Doggart; Megan Rutherford (CinC, 2019)

Automated Identification of Label Errors in Large Electrocardiogram Datasets. - Peter Doggart; Alan Kennedy; Emily Foreman; Dewar D. Finlay; Raymond R. Bond (CinC, 2022)

Influence of the Training Set Size on the Subject-to-Subject Variability of the Estimation Performance of Linear ECG-Lead Transformations. - Daniel Guldenring; Ali Rababah; Dewar D. Finlay; Raymond R. Bond; Alan Kennedy; Peter Doggart; James McLaughlin 001 (CinC, 2022)

Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR. - Peter Doggart; Alan Kennedy; Daniel Guldenring; Raymond R. Bond; Dewar D. Finlay (CinC, 2023)

Influence of the Training Set Composition on the Estimation Performance of Linear ECG-Lead Transformations. - Daniel Guldenring; Dewar D. Finlay; Raymond R. Bond; Alan Kennedy; Peter Doggart; Ghalib Janjua; James McLaughlin 001 (CinC, 2023)