Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. - Erdi Gao; Goce Ristanoski; Uwe Aickelin; David Berlowitz; Mark Howard (AIME, 2022)

Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning. - Anthony Stell; Ernesto C. Caparo; Zhe Wang; Chenyang Wang; David Berlowitz; Mark Howard; Richard O. Sinnott; Uwe Aickelin (BIOSTEC (2), 2024)

SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection. - Xuan-May Le; Ling Luo 002; Uwe Aickelin; Minh-Tuan Tran; David Berlowitz; Mark Howard (PAKDD (2), 2025)

Uncertainty-aware non-invasive patient-ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction. - Chenyang Wang; Ling Luo 002; Uwe Aickelin; David Berlowitz; Mark E. Howard (Int. J. Data Sci. Anal., 2025)