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About

I hold an integrated masters (bachelor+master) degree in Bioengineering, branch of Biomedical Engineering, focused on a wide array of subjects related to healthcare and engineering, such as sensors and electronics, signal and image processing, computer aided diagnosis, medical instruments, robotics and bionics, mobile programming, and software engineering.

I am currently a Research Assistant at CTM - INESC TEC and a PhD student at FEUP, conducting research in signal and image analysis, combined with machine learning for pattern recognition applications. My work focuses mainly on biometrics, for human identification and authentication, using electrocardiographic signals from off-the-person, highly noisy, unconstrained, and seamless acquisition settings.

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Publications

2021

Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics

Authors
Pinto, JR; Correia, MV; Cardoso, JS;

Publication
IEEE Transactions on Biometrics, Behavior, and Identity Science

Abstract

2021

ECG Biometrics

Authors
Pinto, JR; Cardoso, JS;

Publication
Encyclopedia of Cryptography, Security and Privacy

Abstract

2021

Mixture-Based Open World Face Recognition

Authors
Matta, A; Pinto, JR; Cardoso, JS;

Publication
Advances in Intelligent Systems and Computing - Trends and Applications in Information Systems and Technologies

Abstract

2021

MFR 2021: Masked Face Recognition Competition

Authors
Boutros, F; Damer, N; Kolf, JN; Raja, K; Kirchbuchner, F; Ramachandra, R; Kuijper, A; Fang, P; Zhang, C; Wang, F; Montero, D; Aginako, N; Sierra, B; Nieto, M; Erakin, ME; Demir, U; Ekenel, HK; Kataoka, A; Ichikawa, K; Kubo, S; Zhang, J; He, M; Han, D; Shan, S; Grm, K; Struc, V; Seneviratne, S; Kasthuriarachchi, N; Rasnayaka, S; Neto, PC; Sequeira, AF; Pinto, JR; Saffari, M; Cardoso, JS;

Publication
CoRR

Abstract

2021

Impact of Visual Noise in Activity Recognition Using Deep Neural Networks - An Experimental Approach

Authors
Capozzi, L; Carvalho, P; Sousa, A; Pinto, C; Pinto, JR; Cardoso, JS;

Publication
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)

Abstract