3 papers
cs.LG2026
CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion
Chenhan Zhang, Ali Braytee, Madhushi Bandara +4
Graph unlearning removes the influence of designated training data from a trained graph model without retraining from scratch. However, existing methods suffer a sharp drop in mode…
cs.SE2021
An Overview of Ontologies and Tool Support for COVID-19 Analytics
Aakash Ahmad, Madhushi Bandara, Mahdi Fahmideh +3
The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) demands empowering existing medical, economic, and social emergency backend systems with da…
cs.LG2021
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences
Adrian Caruana, Madhushi Bandara, Daniel Catchpoole +1
A meaningful understanding of clinical protocols and patient pathways helps improve healthcare outcomes. Electronic health records (EHR) reflect real-world treatment behaviours tha…