173 citations · 232 across the 7 of their papers we have counts for
3 papers · 1 filter
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus, José Pombal, Duarte Alves +5
Evaluating new techniques on realistic datasets plays a crucial role in the development of ML research and its broader adoption by practitioners. In recent years, there has been a…
A Benchmark dataset for predictive maintenance
Bruno Veloso, João Gama, Rita P. Ribeiro +1
The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal. The…
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…