Miriam Seoane Santos

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]

Miriam Seoane Santos, J. Soares, Pedro Henriques Abreu et al. · IEEE Computational Intelligence Magazine · 2018 · 392 citations

Engineering, Machine Learning, Classification Method +16

A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina et al. · Journal of Biomedical Informatics · 2015 · 205 citations

Survival Prediction, Hepatology, Hepatocellular Carcinoma Patients +8

A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research

Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz et al. · Information Fusion · 2022 · 84 citations

Class Analysis, Social Identity, Class Imbalance +13

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues et al. · Journal of Artificial Intelligence Research · 2020 · 81 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

How distance metrics influence missing data imputation with k-nearest neighbours

Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk et al. · Pattern Recognition Letters · 2020 · 58 citations

Engineering, Data Science, Data Mining +2