Nisal Ranasinghe
- nsranasinghe@student.unimelb.edu.au
- Room 310, Block D, Building 176
Thesis Title
Explainable AI through Interpretable Machine Learning
Research overview
Explainable AI aims to address this issue by developing algorithms that are understandable by humans. In this work, we explore the use of novel interpretable ML algorithms for learning governing equations from observed data and the application of interpretable ML algorithms in gaining an understanding of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease. We are particularly focused on mathematical and statistical interpretation of ML models.
Supervisors
Qualifications
BSc. Engineering (Electronic and Telecommunication Engineering), University of Moratuwa, Sri Lanka (2018)