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TÍTULO: Do we really need a segmentation step in heart sound classification algorithms?
AUTORES: Oliveira, Jorge ; Nogueira, Diogo ; Renna, Francesco ; Ferreira, Carlos ; Jorge, Alipio M. ; Coimbra, Miguel ;
PUBLICAÇÃO: 2021, FONTE: 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC) in 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
INDEXADO EM: Scopus WOS DBLP CrossRef
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TÍTULO: Joint Training of Hidden Markov Model and Neural Network for Heart Sound Segmentation
AUTORES: Renna, Francesco ; Martins, Miguel L. ; Coimbra, Miguel ;
PUBLICAÇÃO: 2021, FONTE: Conference on Computing in Cardiology (CinC) in 2021 COMPUTING IN CARDIOLOGY (CINC), VOLUME: 2021-September
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
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TÍTULO: Source Separation of the Second Heart Sound via Alternating Optimization
AUTORES: Renna, Francesco ; Plumbley, Mark D.; Coimbra, Miguel ;
PUBLICAÇÃO: 2021, FONTE: Conference on Computing in Cardiology (CinC) in 2021 COMPUTING IN CARDIOLOGY (CINC), VOLUME: 2021-September
INDEXADO EM: Scopus WOS DBLP CrossRef
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TÍTULO: Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
AUTORES: Arribas, J; Antonelli, G; Frazzoni, L; Fuccio, L; Ebigbo, A; van der Sommen, F; Ghatwary, N; Palm, C; Coimbra, M ; Renna, F ; Bergman, JJGHM; Sharma, P; Messmann, H; Hassan, C; Dinis Ribeiro, MJ ;
PUBLICAÇÃO: 2021, FONTE: GUT, VOLUME: 70, NÚMERO: 8
INDEXADO EM: Scopus WOS CrossRef: 35
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TÍTULO: Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning
AUTORES: Zamani, M; Sokolic, J; Jiang, D; Renna, F ; Rodrigues, MRD; Demosthenous, A;
PUBLICAÇÃO: 2020, FONTE: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, VOLUME: 14, NÚMERO: 2
INDEXADO EM: Scopus WOS CrossRef: 11
NO MEU: ORCID
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TÍTULO: Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images  Full Text
AUTORES: Reisinho, J; Coimbra, M ; Renna, F ;
PUBLICAÇÃO: 2020, FONTE: 42nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) in 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, VOLUME: 2020-July
INDEXADO EM: Scopus WOS DBLP CrossRef: 5
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TÍTULO: Deep learning-based methods for individual recognition in small birds  Full Text
AUTORES: Ferreira, AC; Silva, LR; Renna, F ; Brandl, HB; Renoult, JP; Farine, DR; Covas, R ; Doutrelant, C;
PUBLICAÇÃO: 2020, FONTE: METHODS IN ECOLOGY AND EVOLUTION, VOLUME: 11, NÚMERO: 9
INDEXADO EM: Scopus WOS CrossRef: 103 Unpaywall
NO MEU: ORCID
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TÍTULO: On instabilities of deep learning in image reconstruction and the potential costs of AI
AUTORES: Antun, V; Renna, F ; Poon, C; Adcock, B; Hansen, AC;
PUBLICAÇÃO: 2020, FONTE: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, VOLUME: 117, NÚMERO: 48
INDEXADO EM: WOS CrossRef: 391
NO MEU: ORCID
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TÍTULO: Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation  Full Text
AUTORES: Zahra Sabetsarvestani; Francesco Renna ; Franz Kiraly; Miguel Rodrigues;
PUBLICAÇÃO: 2020, FONTE: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOLUME: 68
INDEXADO EM: Scopus WOS CrossRef: 10
NO MEU: ORCID
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TÍTULO: A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation
AUTORES: Jorge Oliveira ; Francesco Renna ; Miguel Coimbra ;
PUBLICAÇÃO: 2019, FONTE: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOLUME: 13, NÚMERO: 2
INDEXADO EM: Scopus WOS DBLP CrossRef: 7
NO MEU: ORCID
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