17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 17 cited
A Bayesian Optimization approach for calibrating large-scale activity-based transport models
Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmén +2
The use of Agent-Based and Activity-Based modeling in transportation is rising due to the capability of addressing complex applications such as disruptive trends (e.g., remote work…
cs.LG2022
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino +3
Although Machine Learning (ML) can be seen as a promising tool to improve clinical decision-making for supporting the improvement of medication plans, clinical procedures, diagnose…