4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
Xuewen Tao, Mingming Ha, Xiaobo Guo +3
Multi-task learning (MTL) has been successfully used in many real-world applications, which aims to simultaneously solve multiple tasks with a single model. The general idea of mul…
cs.LG2018★ 4 cited
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics
Wenfang Lin, Zhenyu Wu, Yang Ji
Data-driven fault diagnostics and prognostics suffers from class-imbalance problem in industrial systems and it raises challenges to common machine learning algorithms as it become…