João Tiago Ribeiro Pinto


AuthID: R-00H-FFQ

Confirmed Publications: 36



31
TITLE: Deep Neural Networks for Biometric Identification Based on Non-Intrusive ECG Acquisitions
AUTHORS: João Ribeiro Pinto ; Jaime S Cardoso ; André Lourenço;
PUBLISHED: 2019, SOURCE: The Biometric Computing
INDEXED IN: CrossRef: 9
IN MY: ORCID
32
TITLE: Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics
AUTHORS: Lopes, G; Pinto, JR ; Cardoso, JS ;
PUBLISHED: 2019, SOURCE: 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019 in PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2019, PT II, VOLUME: 11868
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID | DBLP
33
TITLE: A Uniform Performance Index for Ordinal Classification with Imbalanced Classes
AUTHORS: Silva, W ; Pinto, JR ; Cardoso, JS ;
PUBLISHED: 2018, SOURCE: 2018 International Joint Conference on Neural Networks, IJCNN 2018 in 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2018-July
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID | DBLP
34
TITLE: Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
AUTHORS: Joao Ribeiro Pinto ; Jaime S Cardoso ; Andre Lourenco ;
PUBLISHED: 2018, SOURCE: IEEE ACCESS, VOLUME: 6
INDEXED IN: Scopus WOS DBLP CrossRef: 123
IN MY: ORCID | DBLP
35
TITLE: A versatile method for bladder segmentation in computed tomography two-dimensional images under adverse conditions
AUTHORS: Joao Ribeiro Pinto ; João Manuel R. S. Tavares ;
PUBLISHED: 2017, SOURCE: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, VOLUME: 231, ISSUE: 9
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
36
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