12 citations · 25 across the 15 of their papers we have counts for
5 papers · 1 filter
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
Xuanhao Yang, Bing Xue, Mengjie Zhang
Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requ…
Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization
Hengzhe Zhang, Qi Chen, Bing Xue +2
Genetic programming-based feature construction has achieved significant success in recent years as an automated machine learning technique to enhance learning performance. However,…
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
Wenbin Pei, Ruohao Dai, Bing Xue +4
Class imbalance would lead to biased classifiers that favor the majority class and disadvantage the minority class. Unfortunately, from a practical perspective, the minority class…
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
Hengzhe Zhang, Qi Chen, Bing Xue +2
In recent years, genetic programming (GP)-based evolutionary feature construction has achieved significant success. However, a primary challenge with evolutionary feature construct…
A Consistent Lebesgue Measure for Multi-label Learning
Kaan Demir, Bach Nguyen, Bing Xue +1
Multi-label loss functions are usually non-differentiable, requiring surrogate loss functions for gradient-based optimisation. The consistency of surrogate loss functions is not pr…