E-LIB Suche - Ergebnisse für: Mancusi, Michele

1

Exploiting Music Source Separation For Singing Voice Detect..:

, In: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP),

Bonzi, Francesco ; Mancusi, Michele ; Deo, Simone Del... - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

2

Towards the evaluation of marine acoustic biodiversity thro..:

, In: 2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA),

Mancusi, Michele ; Zonca, Nicola ; Rodola, Emanuele. - p. 1-10 , 2023

Link: https://doi.org/10.1109/..

3

Experimental device-independent certified randomness genera..:

Agresti, Iris ; Poderini, Davide ; Guerini, Leonardo...
Communications Physics. 3 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

4

Accelerating Transformer Inference for Translation via Para..:

Santilli, Andrea ; Severino, Silvio ; Postolache, Emilian...
http://arxiv.org/abs/2305.10427. , 2023

Link: http://arxiv.org/abs/230..

5

Latent Autoregressive Source Separation:

Postolache, Emilian ; Mariani, Giorgio ; Mancusi, Michele...
http://arxiv.org/abs/2301.08562. , 2023

Link: http://arxiv.org/abs/230..

6

Multi-Source Diffusion Models for Simultaneous Music Genera..:

Mariani, Giorgio ; Tallini, Irene ; Postolache, Emilian...
http://arxiv.org/abs/2302.02257. , 2023

Link: http://arxiv.org/abs/230..

7

Fish sounds: towards the evaluation of marine acoustic biod..:

Mancusi, Michele ; Zonca, Nicola ; Rodolà, Emanuele.
http://arxiv.org/abs/2201.05013. , 2022

Link: http://arxiv.org/abs/220..

8

Unsupervised Source Separation via Bayesian Inference in th..:

Mancusi, Michele ; Postolache, Emilian ; Mariani, Giorgio...
http://arxiv.org/abs/2110.05313. , 2021

Link: http://arxiv.org/abs/211..

9

Experimental device-independent certified randomness genera..:

Agresti, Iris ; Poderini, Davide ; Guerini, Leonardo...
AGRESTI, Iris; PODERINI, Davide; GUERINI, Leonardo; MANCUSI, Michele; CARVACHO, Gonzalo; AOLITA, Leandro; CAVALCANTI, Daniel; CHAVES, Rafael; SCIARRINO, Fabio. Experimental device-independent certified randomness generation with an instrumental causal structure. Communications Physics, [s.l.], v. 3, n. 1, p. 110, 18 jun. 2020. Disponível em: https://www.nature.com/articles/s42005-020-0375-6. Acesso em: 04 set. 2020. http://dx.doi.org/10.1038/s42005-020-0375-6.. , 2020

Link: https://repositorio.ufrn..

10

Experimental device-independent certified randomness genera..:

Agresti, Iris ; Poderini, Davide ; Guerini, Leonardo...
http://arxiv.org/abs/1905.02027. , 2019

Link: http://arxiv.org/abs/190..

11

Serum parathormone, vitamin D and cardiovascular risk facto..:

Fucile, Ilaria ; Mancusi, Costantino ; Visco, Valeria...
Nutrition, Metabolism and Cardiovascular Diseases. , 2024

Link: https://doi.org/10.1016/..

12

Artificial Intelligence in Hypertension Management: An Ace ..:

Visco, Valeria ; Izzo, Carmine ; Mancusi, Costantino...
Journal of Cardiovascular Development and Disease. 10 (2023) 2 - p. 74 , 2023

Link: https://doi.org/10.3390/..

13

Bioaccumulation of Trace Elements in the Muscle of the Blac..:

Gallo, Samira ; Nania, Gianluca ; Caruso, Valentina...
Biology. 12 (2023) 7 - p. 951 , 2023

Link: https://doi.org/10.3390/..

14

Interventions to Address Cardiovascular Risk in Obese Patie..:

Visco, Valeria ; Izzo, Carmine ; Bonadies, Davide...
Journal of Cardiovascular Development and Disease. 10 (2023) 8 - p. 327 , 2023

Link: https://doi.org/10.3390/..

15

Sacubitril/Valsartan vs. Standard Medical Therapy on Exerci..:

Campanile, Alfonso ; Visco, Valeria ; De Carlo, Stefania...
Life. 13 (2023) 5 - p. 1174 , 2023

Link: https://doi.org/10.3390/..