Diogo Marcelo Nogueira

According to our database, Diogo Marcelo Nogueira authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

The selection of an optimal segmentation region in physiological signals.

Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel Tavares Coimbra

Int. Trans. Oper. Res., 2023

2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.

Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio Mário Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2022

The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation.

Jorge Oliveira, Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel T. Coimbra

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Can Multi-channel Heart Sounds Analysis improve Murmur Detection?

Diogo Marcelo Nogueira, Jorge Oliveira, Carlos Gomes Ferreira, Miguel T. Coimbra, Alípio M. Jorge

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Do we really need a segmentation step in heart sound classification algorithms?

Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel Tavares Coimbra

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization.

Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel T. Coimbra

CoRR, 2020

2019

Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features.

Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Elsa Ferreira Gomes, Alípio M. Jorge

J. Medical Syst., 2019

Heart Sounds Classification Using Images from Wavelet Transformation.

Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira, Alípio M. Jorge, Luis Antunes

Proceedings of the Progress in Artificial Intelligence, 2019

Using Soft Attention Mechanisms to Classify Heart Sounds.

Jorge Oliveira, Diogo Marcelo Nogueira, Cléber Ramos, Francesco Renna, Carlos Abreu Ferreira, Miguel T. Coimbra

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Classifying Heart Sounds Using Images of MFCC and Temporal Features.

Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge

Proceedings of the Progress in Artificial Intelligence, 2017