Zobrazeno 1 - 10
of 3 739
pro vyhledávání: '"Presta, A. A."'
Learned progressive image compression is gaining momentum as it allows improved image reconstruction as more bits are decoded at the receiver. We propose a progressive image compression method in which an image is first represented as a pair of base-
Externí odkaz:
http://arxiv.org/abs/2411.10185
Autor:
Spadaro, Gabriele, Presta, Alberto, Tartaglione, Enzo, Giraldo, Jhony H., Grangetto, Marco, Fiandrotti, Attilio
While standardized codecs like JPEG and HEVC-intra represent the industry standard in image compression, neural Learned Image Compression (LIC) codecs represent a promising alternative. In detail, integrating attention mechanisms from Vision Transfor
Externí odkaz:
http://arxiv.org/abs/2410.02981
Efficient point cloud (PC) compression is crucial for streaming applications, such as augmented reality and cooperative perception. Classic PC compression techniques encode all the points in a frame. Tailoring compression towards perception tasks at
Externí odkaz:
http://arxiv.org/abs/2410.00582
In end-to-end learned image compression, encoder and decoder are jointly trained to minimize a $R + {\lambda}D$ cost function, where ${\lambda}$ controls the trade-off between rate of the quantized latent representation and image quality. Unfortunate
Externí odkaz:
http://arxiv.org/abs/2410.00557
In Learned Image Compression (LIC), a model is trained at encoding and decoding images sampled from a source domain, often outperforming traditional codecs on natural images; yet its performance may be far from optimal on images sampled from differen
Externí odkaz:
http://arxiv.org/abs/2404.15591
Autor:
Gallone, Guglielmo, Iodice, Francesco, Presta, Alberto, Tore, Davide, de Filippo, Ovidio, Visciano, Michele, Barbano, Carlo Alberto, Serafini, Alessandro, Gorrini, Paola, Bruno, Alessandro, Marra, Walter Grosso, Hughes, James, Iannaccone, Mario, Fonio, Paolo, Fiandrotti, Attilio, Depaoli, Alessandro, Grangetto, Marco, de Ferrari, Gaetano Maria, D'Ascenzo, Fabrizio
Aims. To develop a deep-learning based system for recognition of subclinical atherosclerosis on a plain frontal chest x-ray. Methods and Results. A deep-learning algorithm to predict coronary artery calcium (CAC) score (the AI-CAC model) was develope
Externí odkaz:
http://arxiv.org/abs/2403.18756
Autor:
Junior, Roberto Francisco de Lima, Presta, Luiz Fernando Paes de Barros, Borborema, Lucca Santos, da Silva, Vanderson Nogueira, Dahia, Marcio Leal de Melo, Santos, Anderson Carlos Sousa e
This paper presents a detailed case study examining the application of Large Language Models (LLMs) in the construction of test cases within the context of software engineering. LLMs, characterized by their advanced natural language processing capabi
Externí odkaz:
http://arxiv.org/abs/2312.12598
Impact of an irreversible β-galactosylceramidase inhibitor on the lipid profile of zebrafish embryos
Autor:
Jessica Guerra, Mirella Belleri, Giulia Paiardi, Chiara Tobia, Davide Capoferri, Marzia Corli, Elisa Scalvini, Marco Ghirimoldi, Marcello Manfredi, Rebecca C. Wade, Marco Presta, Luca Mignani
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1397-1407 (2024)
Krabbe disease is a sphingolipidosis characterized by the genetic deficiency of the acid hydrolase β-galactosylceramidase (GALC). Most of the studies concerning the biological role of GALC performed on Krabbe patients and Galc-deficient twitcher mic
Externí odkaz:
https://doaj.org/article/c98712cfb14b4da3a4a44f64229c80dd
Autor:
Arianna Giacomini, Sara Taranto, Giorgia Gazzaroli, Jessica Faletti, Davide Capoferri, Raffaella Marcheselli, Margherita Sciumè, Marco Presta, Antonio Sacco, Aldo M. Roccaro
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-17 (2024)
Abstract Among blood cancers, multiple myeloma (MM) represents the second most common neoplasm and is characterized by the accumulation and proliferation of monoclonal plasma cells within the bone marrow. Despite the last few decades being characteri
Externí odkaz:
https://doaj.org/article/be64ebe462f54564880972f7b4f18a9a
Autor:
Salvatore A. Pullano, Giuseppe Oliva, Pierangela Presta, Nazareno Carullo, Michela Musolino, Michele Andreucci, Davide Bolignano, Antonino S. Fiorillo, Giuseppe Coppolino
Publikováno v:
Sensors International, Vol 6, Iss , Pp 100309- (2025)
Hemodialysis is the primary treatment for patients with total loss of renal function and is performed through a vascular access called an arteriovenous fistula (AVF). AVF can be associated with several complications, such as stenosis, thrombosis, and
Externí odkaz:
https://doaj.org/article/b9c9c37f5219497080819a2f45497bd4