Paula Branco

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

A systematic study of the class imbalance problem in convolutional neural networks

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

Artificial intelligence, bias and clinical safety

Learning from class-imbalanced data: Review of methods and applications

Learning from imbalanced data: open challenges and future directions

A survey on semi-supervised learning

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Survey on deep learning with class imbalance

A Survey of Predictive Modeling on Imbalanced Domains

Resampling strategies for regression