Exploring embedding matrices and the entropy gradient for the segmentation of heart sounds in real noisy environments. - Jorge Oliveira 002; Ana Castro; Miguel Tavares Coimbra (EMBC, 2014)

A multi-spot exploration of the topological structures of the reconstructed phase-space for the detection of cardiac murmurs. - Jorge Oliveira 002; Cristina Oliveira; Bruna Cardoso; Malik Saad Sultan; Miguel Tavares Coimbra (EMBC, 2015)

Most Probable Explanation for MetaProbLog and Its Application in Heart Sound Segmentation. - Theofrastos Mantadelis; Jorge Oliveira 002; Miguel Tavares Coimbra (PLP@ICLP, 2015)

Exploratory Study of the Cardiac Dynamic Trajectory in the Embedding Space. - Jorge Oliveira 002; Bruna Cardoso; Miguel T. Coimbra (CinC, 2016)

Why should you model time when you use Markov models for heart sound analysis. - Jorge Oliveira 002; Theofrastos Mantadelis; Miguel T. Coimbra (EMBC, 2016)

A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel Tavares Coimbra (CinC, 2017)

Coupled hidden Markov model for automatic ECG and PCG segmentation. - Jorge Oliveira 002; Catarina Sousa; Miguel T. Coimbra (ICASSP, 2017)

On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation. - Jorge Oliveira 002; Theofrastos Mantadelis; Francesco Renna; Pedro Gomes; Miguel Tavares Coimbra (SiPS, 2017)

Convolutional Neural Networks for Heart Sound Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel T. Coimbra (EUSIPCO, 2018)

Subject-driven supervised and unsupervised Hidden Markov Models for heart sound segmentation in real noisy environments - Jorge Oliveira 002 (2018)

Using Soft Attention Mechanisms to Classify Heart Sounds. - Jorge Oliveira 002; Diogo Marcelo Nogueira; Cléber Ramos; Francesco Renna; Carlos Abreu Ferreira; Miguel T. Coimbra (EMBC, 2019)

Assessment of Sound Features for Needle Perforation Event Detection. - Francesco Renna; Alfredo Illanes; Jorge Oliveira 002; Nazila Esmaeili; Michael Friebe; Miguel T. Coimbra (EMBC, 2019)

A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation. - Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra (IEEE J. Sel. Top. Signal Process., 2019)

Adaptive Sojourn Time HSMM for Heart Sound Segmentation. - Jorge Oliveira 002; Francesco Renna; Theofrastos Mantadelis; Miguel T. Coimbra (IEEE J. Biomed. Health Informatics, 2019)

Deep Convolutional Neural Networks for Heart Sound Segmentation. - Francesco Renna; Jorge Oliveira 002; Miguel T. Coimbra (IEEE J. Biomed. Health Informatics, 2019)

Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization. - Jorge Oliveira 002; Margarida Carvalho; Diogo Marcelo Nogueira; Miguel T. Coimbra (CoRR, 2020)

A Multi-spot Murmur Sound Detection Algorithm and Its Application to a Pediatric and Neonate Population. - Marisa Oliveira; Jorge Oliveira 002; Rui Camacho; Carlos Abreu Ferreira (BIOSIGNALS, 2021)

Crackle and wheeze detection in lung sound signals using convolutional neural networks. - Pedro Faustino; Jorge Oliveira 002; Miguel T. Coimbra (EMBC, 2021)

Do we really need a segmentation step in heart sound classification algorithms? - Jorge Oliveira 002; Diogo Marcelo Nogueira; Francesco Renna; Carlos Abreu Ferreira; Alípio M. Jorge; Miguel Tavares Coimbra (EMBC, 2021)

Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space. - Nuno Oliveira 008; Norberto Sousa; Jorge Oliveira 002; Isabel Praça (SIN, 2021)

On the Usage of Pre-Trained Speech Recognition Deep Layers to Detect Emotions. - Jorge Oliveira 002; Isabel Praça (IEEE Access, 2021)

Can Multi-channel Heart Sounds Analysis improve Murmur Detection? - Diogo Marcelo Nogueira; Jorge Oliveira 002; Carlos Gomes Ferreira; Miguel T. Coimbra; Alípio M. Jorge (BHI, 2022)

The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal. - José Torres; Jorge Oliveira 002; Elsa Ferreira Gomes (BIOSIGNALS, 2022)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 2022)

The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation. - Jorge Oliveira 002; Diogo Marcelo Nogueira; Carlos Abreu Ferreira; Alípio M. Jorge; Miguel T. Coimbra (EMBC, 2022)

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. - Jorge Oliveira 002; 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; et al. (IEEE J. Biomed. Health Informatics, 2022)

A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis. - Rui Camacho; Jorge Oliveira 002; Luis Andrade (ICBBB, 2023)

The selection of an optimal segmentation region in physiological signals. - Jorge Oliveira 002; Margarida Carvalho; Diogo Marcelo Nogueira; Miguel Tavares Coimbra (Int. Trans. Oper. Res., 2023)

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. - Andoni Elola; Elisabete Aramendi; Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra; Matthew A. Reyna; Reza Sameni; Gari D. Clifford; Ali Bahrami Rad (IEEE J. Biomed. Health Informatics, 2023)