2 forest-"https:"-"https:"-"https:" positions at Monash University

Early Prediction and Risk Stratification of Ovarian Cancer Using Explainable AI and Machine Learning for Improved Survival Outcomes.

Monash University | Melbourne, Victoria | Australia | about 14 hours ago

, XGBoost, and Random Forest—achieve high diagnostic discrimination (88–89% accuracy, AUC-ROC > 0.93), outperforming traditional clinical indices. 3. Explainable AI (XAI) Integration To eliminate the "black

Quantum-Enhanced Learning Analytics for Adaptive Early Intervention in Higher Education

Monash University | Melbourne, Victoria | Australia | about 14 hours ago

., Random Forest, Gradient Boosting, Neural Networks) to establish performance benchmarks. Quantum-Inspired Modelling: Development of probabilistic and state-based representations inspired by quantum systems