Romero F. A. B. de Morais

12 papers A* 2A 1B 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fine-Grained Fidgety Movement Classification Using Active Learning.
IEEE J. Biomed. Health Informatics
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, Paul A. Dawson, Svetha Venkatesh
2023 J jnl
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection.
IEEE J. Biomed. Health Informatics
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
2021 A* conf
Learning Asynchronous and Sparse Human-Object Interaction in Videos.
CVPR
Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2021 J jnl
Learning Asynchronous and Sparse Human-Object Interaction in Videos.
CoRR
Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2020 A conf
Learning to Abstract and Predict Human Actions.
BMVC
Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2020 J jnl
Learning to Abstract and Predict Human Actions.
CoRR
Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2019 J jnl
Boosting the performance of over-sampling algorithms through under-sampling the minority class.
Neurocomputing
Romero F. A. B. de Morais, Germano C. Vasconcelos
2019 A* conf
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos.
CVPR
Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2019 J jnl
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos.
CoRR
Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2018 B conf
Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets.
CEC
Péricles B. C. Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva
2017 B conf
A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets.
ESANN
Romero F. A. B. de Morais, Péricles B. C. Miranda, Ricardo M. A. Silva
2016 — conf
A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets.
BRACIS
Romero F. A. B. de Morais, Péricles B. C. Miranda, Ricardo M. A. Silva