2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
stat.ML2020
VEST: Automatic Feature Engineering for Forecasting
Vitor Cerqueira, Nuno Moniz, Carlos Soares
Time series forecasting is a challenging task with applications in a wide range of domains. Auto-regression is one of the most common approaches to address these problems. Accordin…