Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Finding Time Series Anomalies using Granular-ball Vector Data Description
Lifeng Shen, Liang Peng, Ruiwen Liu +2
Modeling normal behavior in dynamic, nonlinear time series data is challenging for effective anomaly detection. Traditional methods, such as nearest neighbor and clustering approac…
cs.LG2025
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure
Qin Xie, Qinghua Zhang, Shuyin Xia +2
Adaptive Boosting (AdaBoost) faces significant challenges posed by label noise, especially in multiclass classification tasks. Existing methods either lack mechanisms to handle lab…
cs.CV2025
Approximate Borderline Sampling using Granular-Ball for Classification Tasks
Qin Xie, Qinghua Zhang, Shuyin Xia
Data sampling enhances classifier efficiency and robustness through data compression and quality improvement. Recently, the sampling method based on granular-ball (GB) has shown pr…