10 citations · 15 across the 3 of their papers we have counts for
Showing cs.NEShow all
2 papers · 1 filter
cs.NE2020★ 10 cited
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
Ke Li, Zilin Xiang, Tao Chen +2
Data-driven defect prediction has become increasingly important in software engineering process. Since it is not uncommon that data from a software project is insufficient for trai…
cs.NE2019★ 1 cited
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
Ke Li, Zilin Xiang, Kay Chen Tan
It is not uncommon that meta-heuristic algorithms contain some intrinsic parameters, the optimal configuration of which is crucial for achieving their peak performance. However, ev…