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Romero F. A. B. de Morais
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2020 – today
- 2023
- [j2]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:
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 27(10): 5042-5053 (2023) - 2021
- [c6]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR 2021: 16041-16050 - [i3]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR abs/2103.02758 (2021) - 2020
- [c5]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. BMVC 2020 - [i2]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. CoRR abs/2008.09234 (2020)
2010 – 2019
- 2019
- [j1]Romero F. A. B. de Morais, Germano C. Vasconcelos:
Boosting the performance of over-sampling algorithms through under-sampling the minority class. Neurocomputing 343: 3-18 (2019) - [c4]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR 2019: 11996-12004 - [i1]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR abs/1903.03295 (2019) - 2018
- [c3]Péricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva:
Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets. CEC 2018: 1-7 - 2017
- [c2]Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva:
A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets. ESANN 2017 - 2016
- [c1]Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva:
A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets. BRACIS 2016: 385-390
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