16 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms
Antonio J. Rivera, Miguel A. Dávila, David Elizondo +2
Resampling algorithms are a useful approach to deal with imbalanced learning in multilabel scenarios. These methods have to deal with singularities in the multilabel data, such as…
cs.NE2023★ 16 cited
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search
Francisco Charte, Antonio J. Rivera, Francisco Martínez +1
Machine learning models work better when curated features are provided to them. Feature engineering methods have been usually used as a preprocessing step to obtain or build a prop…