Fine-Grained Fidgety Movement Classification Using Active Learning - Romero F. A. B. de Morais; Truyen Tran; 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)

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; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2023)

Learning Asynchronous and Sparse Human-Object Interaction in Videos - Romero F. A. B. de Morais; Vuong Le; Svetha Venkatesh; Truyen Tran (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

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

Learning to Abstract and Predict Human Actions - Romero F. A. B. de Morais; Vuong Le; Truyen Tran; Svetha Venkatesh (31st British Machine Vision Conference 2020, BMVC 2020, Virtual Event, UK, September 7-10, 2020, 2020)

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

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 Regularity in Skeleton Trajectories for Anomaly Detection in Videos - Romero F. A. B. de Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

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

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 (2018 IEEE Congress on Evolutionary Computation, CEC 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

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 (25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017, 2017)

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 (5th Brazilian Conference on Intelligent Systems, BRACIS 2016, Recife, Brazil, October 9-12, 2016, 2016)