A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets. - Romero F. A. B. de Morais; Péricles B. C. Miranda; Ricardo M. A. Silva (BRACIS, 2016)

A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets. - Romero F. A. B. de Morais; Péricles B. C. Miranda; Ricardo M. A. Silva (ESANN, 2017)

Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets. - Péricles B. C. Miranda; Romero F. A. B. de Morais; Ricardo M. A. Silva (CEC, 2018)

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh (CVPR, 2019)

Boosting the performance of over-sampling algorithms through under-sampling the minority class. - Romero F. A. B. de Morais; Germano C. Vasconcelos (Neurocomputing, 2019)

Learning to Abstract and Predict Human Actions. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Svetha Venkatesh (BMVC, 2020)

Learning Asynchronous and Sparse Human-Object Interaction in Videos. - Romero F. A. B. de Morais; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR, 2021)

Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. - Romero F. A. B. de Morais; Vuong Le; Catherine Morgan; Alicia J. Spittle; Nadia Badawi; Jane Valentine; Elizabeth M. Hurrion; Paul A Dawson; Truyen Tran 001; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2023)

Fine-Grained Fidgety Movement Classification Using Active Learning. - Romero F. A. B. de Morais; Truyen Tran 001; Caroline Alexander; Natasha Amery; Catherine Morgan; Alicia J. Spittle; Vuong Le; Nadia Badawi; Alison Salt; Jane Valentine; Catherine Elliott; Elizabeth M. Hurrion; et al. (IEEE J. Biomed. Health Informatics, 2025)