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cs.LG2024
Time Series Data Augmentation as an Imbalanced Learning Problem
Vitor Cerqueira, Nuno Moniz, Ricardo Inácio +1
Recent state-of-the-art forecasting methods are trained on collections of time series. These methods, often referred to as global models, can capture common patterns in different t…
cs.LG2022★ 2 cited
Model Optimization in Imbalanced Regression
Aníbal Silva, Rita P. Ribeiro, Nuno Moniz
Imbalanced domain learning aims to produce accurate models in predicting instances that, though underrepresented, are of utmost importance for the domain. Research in this field ha…