35 citations · 53 across the 5 of their papers we have counts for
4 papers · 1 filter
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Qingquan Zhang, Jialin Liu, Zeqi Zhang +3
In the literature of mitigating unfairness in machine learning, many fairness measures are designed to evaluate predictions of learning models and also utilised to guide the traini…
Adaptive Initialization Method for K-means Algorithm
Jie Yang, Yu-Kai Wang, Xin Yao +1
The K-means algorithm is a widely used clustering algorithm that offers simplicity and efficiency. However, the traditional K-means algorithm uses the random method to determine th…
Representation Learning for Heterogeneous Information Networks via Embedding Events
Guoji Fu, Bo Yuan, Qiqi Duan +1
Network representation learning (NRL) has been widely used to help analyze large-scale networks through mapping original networks into a low-dimensional vector space. However, exis…
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
Generative adversarial networks (GAN) have been effective for learning generative models for real-world data. However, existing GANs (GAN and its variants) tend to suffer from trai…