DEFEG: Deep Ensemble with Weighted Feature Generation

Vu Luong, Anh; Tien Nguyen, Thanh; Han, Kate; Hieu Vu, Trung; McCall, John; Wee-Chung Liew, Alan

doi:10.1016/j.knosys.2023.110691

All Outputs (2)

Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms (2024)
Journal Article
Han, K., A. Christie, L., Zăvoianu, A.-C., & McCall, J. A. (2024). Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms. IEEE Transactions on Intelligent Transportation Systems, 1-12. https://doi.org/10.1109/TITS.2024.3374550

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.