Romero F. A. B. de Morais

According to our database, Romero F. A. B. de Morais authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, October, 2023

2021

Learning Asynchronous and Sparse Human-Object Interaction in Videos.

Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning to Abstract and Predict Human Actions.

Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 31st British Machine Vision Conference 2020, 2020

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 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets.

Péricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets.

Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets.

Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016