Jorge Oliveira
Orcid: 0000-0002-3190-8367Affiliations:
- Porto University, Department of Computer Science, Portugal
According to our database1,
Jorge Oliveira
authored at least 29 papers
between 2014 and 2023.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2023
IEEE J. Biomed. Health Informatics, August, 2023
Int. Trans. Oper. Res., 2023
A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis.
Proceedings of the 13th International Conference on Bioscience, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022
The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
IEEE Access, 2021
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Crackle and wheeze detection in lung sound signals using convolutional neural networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Multi-spot Murmur Sound Detection Algorithm and Its Application to a Pediatric and Neonate Population.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization.
CoRR, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
IEEE J. Biomed. Health Informatics, 2019
A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation.
IEEE J. Sel. Top. Signal Process., 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Subject-driven supervised and unsupervised Hidden Markov Models for heart sound segmentation in real noisy environments
PhD thesis, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Most Probable Explanation for MetaProbLog and Its Application in Heart Sound Segmentation.
Proceedings of the 2nd International Workshop on Probabilistic Logic Programming co-located with 31st International Conference on Logic Programming (ICLP 2015), 2015
A multi-spot exploration of the topological structures of the reconstructed phase-space for the detection of cardiac murmurs.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Exploring embedding matrices and the entropy gradient for the segmentation of heart sounds in real noisy environments.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014