All Outputs (2)

DEFEG: Deep Ensemble with Weighted Feature Generation (2023)
Journal Article
Vu Luong, A., Tien Nguyen, T., Han, K., Hieu Vu, T., McCall, J., & Wee-Chung Liew, A. (2023). DEFEG: Deep Ensemble with Weighted Feature Generation. Knowledge-Based Systems, 275, Article 110691. https://doi.org/10.1016/j.knosys.2023.110691

With the significant breakthrough of Deep Neural Networks in recent years, multi-layer architecture has influenced other sub-fields of machine learning including ensemble learning. In 2017, Zhou and Feng introduced a deep random forest called gcFores... Read More about DEFEG: Deep Ensemble with Weighted Feature Generation.

On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems (2023)
Conference Proceeding
Han, K., A. Christie, L., Zăvoianu, A.-C., & McCall, J. (2023). On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems. In Computer Aided Systems Theory – EUROCAST 2022 (104-111). https://doi.org/10.1007/978-3-031-25312-6_12

While self-driving technology is still being perfected, public transport authorities are increasingly interested in the ability to model and optimise the benefits of adding connected and autonomous vehicles (CAVs) to existing multi-modal transport sy... Read More about On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems.