no code implementations • 9 Oct 2023 • Kun Li, Jiang Tian, Xiaojia Xiang
The main drawback of these approaches is that in general it does not use the information in the treatment indicator beyond the construction of the transformed outcome and usually is not efficient.
no code implementations • 3 Feb 2023 • Fanglan Zheng, Menghan Wang, Kun Li, Jiang Tian, Xiaojia Xiang
In this manuscript (ms), we propose causal inference based single-branch ensemble trees for uplift modeling, namely CIET.
no code implementations • 20 Jan 2021 • Chao Yan, Xiaojia Xiang, Chang Wang, Zhen Lan
Developing the flocking behavior for a dynamic squad of fixed-wing UAVs is still a challenge due to kinematic complexity and environmental uncertainty.
no code implementations • 16 Nov 2020 • Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover.
no code implementations • 14 Sep 2020 • Fanglan Zheng, Erihe, Kun Li, Jiang Tian, Xiaojia Xiang
With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scoring and rating.
no code implementations • 7 Jul 2020 • Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang
In this manuscript, we propose a federated F-score based ensemble tree model for automatic rule extraction, namely Fed-FEARE.