333 citations · 608 across the 18 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021★ 1 cited
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
Xipei Wang, Haoyu Zhang, Yuanbo Zhang +4
The era of information explosion had prompted the accumulation of a tremendous amount of time-series data, including stationary and non-stationary time-series data. State-of-the-ar…
cs.LG2021★ 149 cited
SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
Mimi Mukherjee, Matloob Khushi
Real world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve subst…