Generating high-fidelity synthetic patient data for assessing machine learning healthcare software. - Allan Tucker; Zhenchen Wang; Ylenia Rotalinti; Puja Myles (npj Digit. Medicine, 2020)

Detecting Drift in Healthcare AI Models Based on Data Availability. - Ylenia Rotalinti; Allan Tucker; Michael Lonergan; Puja Myles; Richard Branson (PKDD/ECML Workshops (2), 2022)

The Impact of Bias on Drift Detection in AI Health Software. - Asal Khoshravan Azar; Barbara Draghi; Ylenia Rotalinti; Puja Myles; Allan Tucker (AIME, 2023)

Privacy Assessment of Synthetic Patient Data. - Ferdoos Hossein Nezhad; Ylenia Rotalinti; Puja Myles; Allan Tucker (CBMS, 2023)

Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. - Ylenia Rotalinti; Puja Myles; Allan Tucker (IDA (1), 2024)

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). - Marco Piangerelli; Bardh Prenkaj; Ylenia Rotalinti; Ananya Joshi 001; Giovanni Stilo (KDD, 2024)