10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Grasynda: Graph-based Synthetic Time Series Generation
Luis Amorim, Moises Santos, Paulo J. Azevedo +2
Data augmentation is a crucial tool in time series forecasting, especially for deep learning architectures that require a large training sample size to generalize effectively. Howe…
cs.LG2019★ 10 cited
Preference rules for label ranking: Mining patterns in multi-target relations
Cláudio Rebelo de Sá, Paulo Azevedo, Carlos Soares +2
In this paper we investigate two variants of association rules for preference data, Label Ranking Association Rules and Pairwise Association Rules. Label Ranking Association Rules…