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Found 6 papers, 0 papers with code
A New Transformation Approach for Uplift Modeling with Binary Outcome
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.
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
In this manuscript (ms), we propose causal inference based single-branch ensemble trees for uplift modeling, namely CIET.
Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
Developing the flocking behavior for a dynamic squad of fixed-wing UAVs is still a challenge due to kinematic complexity and environmental uncertainty.
Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover.
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring
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.
A Federated F-score Based Ensemble Model for Automatic Rule Extraction
In this manuscript, we propose a federated F-score based ensemble tree model for automatic rule extraction, namely Fed-FEARE.
