‪Romero Fernando Almeida Barata de Morais‬

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Svetha VenkateshAlfred Deakin Professor, Deakin UniversityVerified email at deakin.edu.au
Truyen TranProfessor | Head of AI, Health and Science @ Deakin UniversityVerified email at deakin.edu.au
Vuong LeDeakin UniversityVerified email at deakin.edu.au
Moussa Reda MansourAlcoaVerified email at ieee.org
Germano VasconcelosProfessor Associado, Centro de Informatica, Universidade Federal de PernambucoVerified email at cin.ufpe.br
Péricles Barbosa Cunha de MirandaUniversidade Federal Rural de Pernambuco (UFRPE)Verified email at ufrpe.br
Dr Catherine MorganCerebral Palsy Alliance, The University of SydneyVerified email at cerebralpalsy.org.au
alicia spittleThe University of MelbourneVerified email at mcri.edu.au
Nadia BadawiChildren's Hospital Westmead, The University of SydneyVerified email at health.nsw.gov.au
Budhaditya SahaAI Scientist, Oracle

Romero Fernando Almeida Barata de Morais

Associate Research Fellow, Applied Artificial Intelligence Institute, Deakin University

Verified email at deakin.edu.au - Homepage

Human Behaviour Anomaly Detection Deep Learning Imbalanced Learning


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Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	288	2019
Boosting the Performance of Over-Sampling Algorithms through Under-Sampling the Minority Class RFAB de Morais, GC Vasconcelos Neurocomputing 343, 3-18, 2019	47	2019
Learning Asynchronous and Sparse Human-Object Interaction in Videos R Morais, V Le, S Venkatesh, T Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	31	2021
A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets RFAB de Morais, PBC Miranda, RMA Silva Intelligent Systems (BRACIS), 2016 5th Brazilian Conference on, 385-390, 2016	12	2016
Learning to Abstract and Predict Human Actions R Morais, V Le, T Tran, S Venkatesh Proceedings of the British Machine Vision Conference, 2020	7	2020
Under-Sampling the Minority Class to Improve the Performance of Over-Sampling Algorithms in Imbalanced Data Sets RFAB de Morais, GC Vasconcelos Workshop on Learning in the Presence of Class Imbalance and Concept Drift …, 2017	5	2017
Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets PBC Miranda, RFAB Morais, RMA Silva 2018 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2018	3	2018
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection R Morais, V Le, C Morgan, A Spittle, N Badawi, J Valentine, EM Hurrion, ... IEEE Journal of Biomedical and Health Informatics, 2023	1	2023
New sampling algorithms for enhancing classifier performance on imbalanced data problems R Morais Universidade Federal de Pernambuco, 2018	1	2018
A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets RFAB Morais, PBC Miranda, RMA Silva 2017 European Symposium on Artificial Neural Networks, Computational …, 2017	1	2017
Human Behaviour Understanding in Computer Vision R Morais Deakin University, 2021		2021

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