BGR-FS: A bandit-guided redundancy-aware framework for high-dimensional multi-objective feature selection

Chunyu Han; Heming Jia; Wei Li; Yongchao Li; Qian Shi

doi:10.1007/s44443-026-00848-7

Citations

404

Views

Abstract not available for this publication.

Cite this Article (APA)

Chunyu, H., Heming, J., Wei, L., Yongchao, L., Qian, S. (2026). BGR-FS: A bandit-guided redundancy-aware framework for high-dimensional multi-objective feature selection. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00848-7

Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026

cites

424

DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments

Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026

cites

430

Information guided Levy flight for robot search in unknown environments

Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026

cites

411

SemCap: Sentiment-aware semantic captioning for multimodal aspect-based sentiment analysis